Jobs

VP, Network Security Engineer

Job Description

Jefferies is seeking a Network Security Engineer to join as a Vice President in the Information Security team with accountability for researching, designing, engineering, implementing, and supporting network security. This role is hands-on and requires deep technical expertise across network security and segmentation, automation, DevOps practices and emerging AI/LLM driven capabilities. The engineer will work closely with our infrastructure, application, and security teams to implement our existing and future network security & segmentation tools, drive automation and self-service models and influence security architecture decisions while protecting the firm's assets.

The ideal candidate will be knowledgeable with Integrating Automation (Python, LLM's) into the Network Security stack of tools and services. They will also have experience in: Management of Next-Generation Firewalls (Palo Alto & ZScaler preferred), Network Segmentation (Illumio preferred) WAF, IPS, NDR, NAC, etc. Most importantly, the ideal candidate must be extremely eager to learn new technologies and able to execute. The role will also have an opportunity to work with subject matter experts not only within security, but across infrastructure, network, development, and business teams.
We look to hire people who are comfortable in working with minimal supervision as part of a team that has consistently delivers ground-breaking and innovative solutions in one of the most exciting and fast-moving areas of the financial markets vertical. We need people who can prioritize and effectively communicate complex issues.

Primary Responsibilities:

The Network Security Engineer will play a critical role in the architecture, development, deployment, and management of Jefferies's Network Security Program as part of the global information security team.


• Utilize LLM/AI and automation that build Processes to improve/audit/secure the

Location:

Remote, United States

Employment Type:

FullTime

Location Type:

Remote

Department

Business Technology

Compensation:

$322.5K – $387K • Offers Equity

At Confluent, we are committed to providing competitive pay that is in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location.

Overview

We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.

It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.

One Confluent. One Team. One Data Streaming Platform.

About the Role:

Most companies are still figuring out where AI fits. At Confluent, we're moving past that question — and building the infrastructure that makes AI a trusted, supervised part of how work actually gets done. As Director of Applied AI Engineering, you will own that foundation: the agent orchestration platform, LLM gateway, runtime guardrails, audit logging, and the full lifecycle infrastructure that turns AI experimentation into durable business execution. This is a rare opportunity to shape something from the ground up — hiring the team, setting the architecture, and staying hands-on as a technical contributor to the platform itself. You won't just lead the work; you'll be in it. You will work closely with leaders across Sales, Support, Product, Marketing, Finance, and Legal, ensuring the platform you bu

Location:

Remote, United States

Employment Type:

FullTime

Location Type:

Remote

Department

Business Technology

Compensation:

$322.5K – $387K • Offers Equity

At Confluent, we are committed to providing competitive pay that is in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location.

Overview

We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.

It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.

One Confluent. One Team. One Data Streaming Platform.

About the Role:

Most companies are still figuring out where AI fits. At Confluent, we're moving past that question — and building the infrastructure that makes AI a trusted, supervised part of how work actually gets done. As Director of Applied AI Engineering, you will own that foundation: the agent orchestration platform, LLM gateway, runtime guardrails, audit logging, and the full lifecycle infrastructure that turns AI experimentation into durable business execution. This is a rare opportunity to shape something from the ground up — hiring the team, setting the architecture, and staying hands-on as a technical contributor to the platform itself. You won't just lead the work; you'll be in it. You will work closely with leaders across Sales, Support, Product, Marketing, Finance, and Legal, ensuring the platform you bu

About Juniper Square

Our mission is to unlock the full potential of private markets. Privately owned assets like commercial real estate, private equity, and venture capital make up half of our financial ecosystem yet remain inaccessible to most people. We are digitizing these markets, and as a result, bringing efficiency, transparency, and access to one of the most productive corners of our financial ecosystem. If you care about making the world a better place by making markets work better through technology – all while contributing as a member of a values-driven organization – we want to hear from you. 

Juniper Square offers employees a variety of ways to work, ranging from a fully remote experience to working full-time in one of our physical offices. We invest heavily in digital-first operations, allowing our teams to collaborate effectively across 27 U.S. states, 2 Canadian Provinces, India, Luxembourg, and England. We also have physical offices in San Francisco, New York City, Mumbai and Bangalore for employees who prefer to work in an office some or all of the time.

About your role

As a QA Engineer at Juniper Square, you will collaborate with the product and engineering teams to help define and drive our manual and automation testing efforts. You must be detail oriented, passionate about product quality, and a strong advocate for the end user experience.

What you’ll do

• 
  

  Review functional specifications and technical design documents, providing meaningful feedback and using AI-assisted analysis to identify edge cases or logic gaps early in the SDLC.

  
  


• 
  

  Work closely with development teams to identify test cases for automation and leverage AI-powered IDEs (like Cursor or Augment) to rapidly prototype and scaffold new test suites.

  
  


• 
  

  Design, develop, and execute test cases against product features and backend systems.

  
  


• 
  

  Maintain and extend automation frameworks (Playwright/Locust) by utilizing LLMs for code refactoring, optimizing test scripts, and reducing flaky test patterns.

  
  


• 
  

  Contribute to your development team on best practices, processes, and problem-solving, including the ethical and effective use of AI tools in the QA workflow.

  
  


• 
  

  Develop automated test result reports and highlight any potential quality risks

  
  


• 
  

  Identify, troubleshoot, and track bugs to resolution, using AI tools to assist in root cause analysis and log interpretation.

  
  


• 
  

  Be an advocate for automation: Partner with the engineering team to provide recommendations on how to decrease manual efforts through automated solutions and AI-driven test generation.

  
  


• 
  

  Experience designing evaluation frameworks for LLM-powered features, including prompt regression testing and behavioral drift detection

  
  


• 
  

  Proactively leverage AI tools (e.g., Cursor, Claude, etc…) to accelerate test authoring, debugging, and maintenance of automation frameworks

  
  


• 
  

  Use AI to diagnose failures, generate test scenarios, and improve coverage and efficiency

  
  


• 
  

  Contribute to testing strategies for AI-powered features, including validation of LLM outputs, edge cases, and reliability

  
  


• 
  

  Drive best practices for the ethical and effective use of AI tools within QA workflows and across the broader engineering team

  
  

Qualifications

• 
  

  Education: Bachelor's degree in Computer Science, or equivalent professional experience.

  
  


• 
  

  Experience: 5+ years in Software Quality Assurance, with strong expertise in testing web applications.

  
  


• 
  

  Test Automation: Skilled in designing, building, and maintaining test automation frameworks for web applications (preferably using Playwright).

  
  


• 
  

  Programming Skills: Proficiency in at least one programming language, such as JavaScript, TypeScript, or Python.

  
  


• 
  

  AI-Augmented Development: Experience in using AI-powered tools (e.g., Augment, Cursor, Claude) to accelerate test authoring, assist in debugging automation scripts, and optimize documentation workflows.

  
  


• 
  

  API Testing: Hands-on experience in both manual, and/or automated testing of REST and/or GraphQL APIs using tools like Postman, RestAssured, or Locust.

  
  


• 
  

  CI/CD and SDLC: Solid understanding of CI/CD pipelines and software development lifecycle concepts, including code review practices, code coverage analysis, continuous testing, and delivery.

  
  


• 
  

  Tools and Systems: Familiarity with version control systems (e.g., Git), test management tools (e.g., TestRail), and issue-tracking platforms (e.g., Jira).

  
  


• 
  

  Databases: Working knowledge of relational databases and SQL is a plus.

  
  


• 
  

  Cloud and Deployment: Knowledge of cloud environments (e.g., AWS) and experience with application deployments.

  
  


• 
  

  Test Process: Experience in creating comprehensive test plans, authoring test cases, executing tests, and adhering to QA best practices.

  
  


• 
  

  Soft Skills: Excellent analytical and problem-solving abilities, attention to detail, and the ability to work independently within Agile development teams.

  
  


• 
  

  Communication: Strong written and verbal communication skills in English.

  
  

Compensation

Compensation for this position includes a base salary, equity and a variety of benefits. The U.S. base salary range for this role is 110,000 - 130,000 USD and the Canadian base salary range for this role is 130,000 - 150,000 CAD. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.

Benefits include:

• 
  

  Health, dental, and vision care for you and your family

  
  


• 
  

  Life insurance

  
  


• 
  

  Mental wellness coverage

  
  


• 
  

  Fertility and growing family support

  
  


• 
  

  Flex Time Off in addition to company-paid holidays

  
  


• 
  

  Paid family leave, medical leave, and bereavement leave policies

  
  


• 
  

  Retirement saving plans

  
  


• 
  

  Allowance to customize your work and technology setup at home

  
  


• 
  

  Annual professional development stipend

  
  

Your recruiter can provide additional details about compensation and benefits.

#Juniper-US

#Juniper-Canada

#LI-Remote

#LI-BA1

Contract

Remote

Role Description

As a Senior C++ Engineer, you will work remotely on an hourly paid basis to review AI-generated C++ code, systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with a fast-growing AI data services company and subsidiary of that provides AI training data to many of the world’s largest AI companies and foundation model labs, where your C++ and systems expertise will directly help improve the world’s premier AI models used by millions of developers worldwide.

Your Profile

Bachelor's degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field.4+ years of professional experience developing production software in C++ for systems, performance-critical, or large-scale applications.Expert-level proficiency in modern C++ (C++11 and later), including templates, move semantics, smart pointers, and the STL.Strong background in systems programming concepts such as concurrency, operating systems, low-level performance optimization, and memory management.Hands-on experience with C++ build systems, compilers, linkers, debuggers, and profiling or analysis tools.Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.Proven experience conducting detailed C++ code reviews and enforcing coding standards for safety, performance, and maintainability.Comfort working with version control, CI/

Contract

Remote

Role Description

As a Senior C++ Engineer, you will work remotely on an hourly paid basis to review AI-generated C++ code, systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with a fast-growing AI data services company and subsidiary of that provides AI training data to many of the world’s largest AI companies and foundation model labs, where your C++ and systems expertise will directly help improve the world’s premier AI models used by millions of developers worldwide.

Your Profile

Bachelor's degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field.4+ years of professional experience developing production software in C++ for systems, performance-critical, or large-scale applications.Expert-level proficiency in modern C++ (C++11 and later), including templates, move semantics, smart pointers, and the STL.Strong background in systems programming concepts such as concurrency, operating systems, low-level performance optimization, and memory management.Hands-on experience with C++ build systems, compilers, linkers, debuggers, and profiling or analysis tools.Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.Proven experience conducting detailed C++ code reviews and enforcing coding standards for safety, performance, and maintainability.Comfort working with version control, CI/

AI EngineerConsultant

Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non-functional requirements), partnering closely with product, data science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI solutions.

This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and Gemini-class models, and more implemented with strong governance, observability, and cost/performance discipline.

Recruiting for this role ends on August 30, 2026Work You'll Do:

As an AI Engineer Consultant, you will design, build, and run the trusted, governed data + feature + retrieval layer used by AI/ML and GenAI solutions. You will deliver reproducible datasets and features, operationalize quality and lineage, and enable secure consumption patterns for both predictive ML and LLM-based experiences.Key Responsibilities:

Partner with the Lead AI Solutions Architect and AI Data Engineer to design, build, and deploy secure, scalable AI solutions (APIs, services, pipelines, containers/serverless) that meet availability, performance, and security requirements.

Build and operationalize LLM-enabled products (copilots, HR knowledge assistant, summarization, policy Q&A) using Claude/GPT(Codex)/Gemini, including prompt/context patterns and tool/function calling.

Implement RAG and document intelligence patterns (ingestion, chunking, embeddings, vector/hybrid search) plus evaluation and retrieval telem

Contract

Remote

Role Description

As a Senior C Engineer, you will work remotely on an hourly paid basis to review AI-generated C code, low-level systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with, a fast-growing AI data services company and subsidiary of that provides AI training data to many of the world’s largest AI companies and foundation model labs. Your systems-level C expertise will directly help improve the world’s premier AI models used by millions of developers worldwide.

Your Profile

Bachelor’s degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field.4+ years of professional experience developing production software in C for systems, embedded, or performance-critical applications.Expert-level proficiency in C, including deep understanding of pointers, memory management, undefined behavior, and low-level debugging.Strong background in systems programming concepts such as concurrency, operating systems, hardware interaction, and performance optimization.Hands-on experience with build systems, compilers, linkers, and debugging tools commonly used in C development.Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.Proven experience conducting detailed code reviews and enforcing coding standards for safety and maintainability in C codebases.Comfort working with version control,

Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.

Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.

On the Money Movement team, we’re building the core infrastructure for stablecoin-based payments, enabling fast, secure, and scalable transfers across borders and platforms. This work underpins how value moves across the Coinbase ecosystem and beyond.

As a Senior Software Engineer on the CDP Payment Risk team, you will design, build, and scale the real-time risk infrastructure that protects Coinbase’s developer payment flows — including fraud detection and transaction scoring across multi-currency, cross-border payouts. Beyond core backend engineering, this role requires hands-on ownership of ML systems: developing risk models, data pipelines, and integrating state-of-the-art LLM a

We Are:At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:You are a seasoned cybersecurity professional with a deep passion for automation and orchestration in security operations. With over a decade of hands-on experience, you thrive at the intersection of advanced technology and practical security challenges. You excel at architecting scalable, resilient frameworks that not only detect threats but also enable rapid response and learning. Your expertise spans SOAR, SIEM, EDR/XDR, cloud environments, and you are fluent in integrating complex systems through APIs and advanced scripting. You are energized by emerging AI/LLM technologies and have a proven track record of applying them to real-world security workflows, driving efficiency and elevating threat detection and response. As a technical mentor and thought leader, you inspire teams to embrace automation and rigor, fostering a culture of innovation and continuous improvement. You communicate effectively with both technical and executive audiences, translating intricate security concepts into actionable strategies that align with business priorities. You are collaborative, proactive, and always on the lookout for new ways to strengthen security posture against evolving threats. Your curiosity and drive ensure you stay ahead in the rapidly changing cybersecurity landscape, and your commitment to excellence makes you a trusted partner across cross-functional teams.

What You’ll Be Doing:Owning and defining the end-to-end automation and orchestration strategy for Security Operations, covering detection, triage, investigation, containment, remediation, and post-in

Contract

Remote

Role Description

As a Senior C Engineer, you will work remotely on an hourly paid basis to review AI-generated C code, low-level systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with, a fast-growing AI data services company and subsidiary of that provides AI training data to many of the world’s largest AI companies and foundation model labs. Your systems-level C expertise will directly help improve the world’s premier AI models used by millions of developers worldwide.

Your Profile

Bachelor’s degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field.4+ years of professional experience developing production software in C for systems, embedded, or performance-critical applications.Expert-level proficiency in C, including deep understanding of pointers, memory management, undefined behavior, and low-level debugging.Strong background in systems programming concepts such as concurrency, operating systems, hardware interaction, and performance optimization.Hands-on experience with build systems, compilers, linkers, and debugging tools commonly used in C development.Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.Proven experience conducting detailed code reviews and enforcing coding standards for safety and maintainability in C codebases.Comfort working with version control,

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Headway Tek Inc, is seeking the following. Apply via Dice today!
• *Role :**

Python Full-Stack Engineer -
• *Autonomous AI, Agent Automation, LLM VectorDB, LangChan, Multiagent
• *Location :

5 days onsite at Alpharetta, GA need local candidates only
• *Interview :**

Client Interview and 2 client interviews onsite at Alpharetta including Python leetcode related queries
• *Experience needed :**

8-15 years
• *Role Summary**

We are looking for a highly skilled
• *Python Full-Stack Engineer**

with hands-on experience in
• *OpenAI-based solutions, Co-Pilot frameworks, MCP, MKS environments**

, and
• *autonomous agent creation**

. This role will focus on building
• *AI-driven task automation, intelligent agents, and end-to-end full-stack solutions**

that accelerate business workflows and reduce manual effort.

The ideal candidate combines strong Python engineering fundamentals with
• *applied AI/LLM orchestration**

, system integration, and scalable automation design.
• *Key Responsibilities
• Design, develop, and deploy Python-based full-stack applications with AI-enabled capabilities
• Build and orchestrate autonomous AI agents for task execution, decisioning, and workflow automation
• Integrate OpenAI models for reasoning, summarization, classification, and agent coordination
• Implement Co-Pilot-style experiences to assist users with intelligent recommendations and actions
• Develop task automation pipelines leveraging agents, schedulers, and event-driven triggers
• Work within MCP and MKS environments to manage configurations, pipelines, and system controls
• Design APIs and backend services to integrate AI agents with enterprise systems
• Build scalable front-end interfaces (React or similar) for AI-driven user interactions
• Ensure security, governance, logging, and observability for AI-powered workflows
• Collaborate with product, architecture, and busines

Contract

Remote

Role Description

As a Senior C Engineer, you will work remotely on an hourly paid basis to review AI-generated C code, low-level systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with, a fast-growing AI data services company and subsidiary of that provides AI training data to many of the world’s largest AI companies and foundation model labs. Your systems-level C expertise will directly help improve the world’s premier AI models used by millions of developers worldwide.

Your Profile
• Bachelor’s degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field.
• 4+ years of professional experience developing production software in C for systems, embedded, or performance-critical applications.
• Expert-level proficiency in C, including deep understanding of pointers, memory management, undefined behavior, and low-level debugging.
• Strong background in systems programming concepts such as concurrency, operating systems, hardware interaction, and performance optimization.
• Hands-on experience with build systems, compilers, linkers, and debugging tools commonly used in C development.
• Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.
• Proven experience conducting detailed code reviews and enforcing coding standards for safety and maintainability in C codebases.
• Comfort working

IMC is embedding agentic AI directly into the developer workflow for our production-critical systems. As a member of the Agentic AI engineering team, you’ll help build agents, MCP servers, and evaluation loops that make AI-generated code reliable, auditable, and fast to ship. You’ll work closely with experienced engineers and platform teams to deliver pragmatic, high-impact AI integrations at scale.

What You’ll Do
• Contribute to the platform by implementing agents, MCP servers, and supporting services that propose and apply changes to large codebases
• Assist in developing retrieval systems that give AI agents and developers accurate, up-to-date context from large codebases and design artifacts
• Help measure and improve AI-generated changes by building compile/test/evaluate pipelines (static analysis, style and safety checks, performance gates, code review)
• Apply IMC’s best practices in concurrency, telemetry, configuration hygiene, and performance-sensitive code paths to ensure AI outputs are reliable and idiomatic
• Collaborate with teammates on experiments to evaluate and improve AI-driven workflows

What You Bring
• BS+ in Computer Science (or related) with strong fundamentals (algorithms, data structures, systems)
• Proficiency in a high-level programming language (Java or Python preferred)
• Experience contributing to developer-facing or production systems
• Curiosity and eagerness to learn about AI/LLM application patterns, even if you haven’t worked closely with them yet
• Strong communication skills; comfortable working with engineers in a fast, collaborative environment

Nice to Have
• Exposure to AI tools or workflows (e.g., LangChain, LangGraph, AutoGen, or similar)
• Experience with retrieval systems (vector search, embeddings, or hybrid approaches)
• Familiarity with compiler/static analysis or large-scale refactoring tools
• Interest in customizing or fine-tuning open-weight models
• Knowledge of model-serving or evaluation infrastructure

Why Th

The Role: Senior Software Engineer – Rust (LLM Evaluation & Repository Validation)
Location: Permanent Remote, Africa-Based

Contract Type: Contractor (no medical/paid leave)

Duration: 3 months (extensions possible)

Start Date: Immediate (within 1 week)

Commitment: 20–40 hours/week with some overlap with Pacific Standard Time (PST)

Experience Required: 3–8 years overall, with 2+ years in Rust

About the Project
We are building LLM evaluation and training datasets to train large language models (LLMs) to work on realistic software engineering problems. A key approach in this project involves creating verifiable SWE tasks from public repository histories in a synthetic, human-in-the-loop process. The goal is to expand dataset coverage across programming languages, complexity levels, and problem domains.

This role blends hands-on software engineering with AI-focused research, giving you a chance to work at the intersection of open-source software and cutting-edge AI systems.

Responsibilities:
Analyse and triage GitHub issues across trending open-source libraries.Set up and configure repositories (including Dockerization and development environment setup).Evaluate unit test coverage and quality across projects.Run and modify codebases locally to assess LLM bug-fixing performance.Collaborate with researchers to design/select repositories and tasks challenging for LLMs.(Optional) Lead junior engineers collaborating on evaluation tasks.Why Join:
Work remotely on impactful AI + software engineering projects.Collaborate with researchers shaping the future of AI-assisted development.Opportunity to contribute to real-world open-source challenges while influencing LLM training and evaluation.Application Process: To apply, please submit your CV and a cover letter detailing your relevant experience and qualifications for the role. Applications will be reviewed on a rolling basis, so early submissions are encouraged.
Equal Opportunity Employer: We value diversity and

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Description

Job Title: Agentic AI Developer (Entry-Level)
Job Location: Bellevue, WA (Hybrid)

About the job you’re considering
The Entry-Level Agentic AI Engineer role focuses on designing and delivering intelligent, AI driven engineering solutions for Automotive and Aerospace customers. This position blends MBSE, CAD/PLM (3DEXPERIENCE, CATIA, No Magic) expertise with LLM based agent development to enable design automation, knowledge extraction, digital thread integration, and decision support. The role requires strong mechanical engineering fundamentals and hands on experience building scalable, enterprise grade GenAI solutions.

Your Role
• Design and develop LLM based intelligent agents using Python and modern agent frameworks.
• Build AI driven solutions for engineering use cases such as knowledge extraction, design automation, and model transformation.
• Develop and integrate MBSE workflows using No Magic / Cameo Systems Modeler and SysML.
• Basic knowledge on CATIA V5/V6 and 3DEXPERIENCE automation solutions using EKL, CAA, Python, and macros.
• Integrate CAD, MBSE, and PLM systems to enable digital thread and digital engineering workflows.
• Develop Retrieval Augmented Generation (RAG) pipelines for engineering knowledge systems.
• Design APIs and orchestrate workflows for engineering copilots and assistants.
• Collaborate with cross functional teams to architect scalable, enterprise grade engineering solutions.
• Develop POCs, technical documentation, and solution architectures for customer engagements.
• Support cloud based deployment of AI solutions, pr

Contract

Remote

Role Description

As a Senior C Engineer, you will work remotely on an hourly paid basis to review AI-generated C code, low-level systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with, a fast-growing AI data services company and subsidiary of that provides AI training data to many of the world’s largest AI companies and foundation model labs. Your systems-level C expertise will directly help improve the world’s premier AI models used by millions of developers worldwide.

Your Profile
• Bachelor’s degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field.
• 4+ years of professional experience developing production software in C for systems, embedded, or performance-critical applications.
• Expert-level proficiency in C, including deep understanding of pointers, memory management, undefined behavior, and low-level debugging.
• Strong background in systems programming concepts such as concurrency, operating systems, hardware interaction, and performance optimization.
• Hands-on experience with build systems, compilers, linkers, and debugging tools commonly used in C development.
• Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.
• Proven experience conducting detailed code reviews and enforcing coding standards for safety and maintainability in C codebases.
• Comfort working

Oddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space.

We’re looking for an Applied AI / Machine Learning Engineer to design, build, and deploy practical AI-powered solutions that solve real-world problems. This role focuses on applying modern ML and GenAI techniques in production systems — from experimentation and prototyping through deployment, evaluation, and iteration. You’ll work closely with engineers, designers, and product stakeholders to turn ambiguous problems into scalable, reliable AI-driven capabilities.

This is a hands-on engineering role for someone who enjoys shipping, learning quickly, and balancing technical rigor with real-world constraints.

What you'll be doing:
• Design, develop, and deploy machine learning and AI-powered features into production systems
• Apply supervised, unsupervised, and deep learning techniques to structured and unstructured data
• Build and evaluate models for tasks such as classification, ranking, prediction, NLP, or anomaly detection
• Develop and integrate GenAI solutions (e.g., LLM-based workflows, retrieval-augmented generation, agents)
• Translate business and user needs into ML problem statements, metrics, and experiments
• Implement data pipelines and feature engineering workflows to support model training and inference
• Evaluate model performance, bias, drift, and reliability; iterate based on results
• Collaborate with software engineers to integrate models into APIs, services, and user-facing applications
• Contribute to architecture decisions around model serving, scalability, and cost optimization
• Document approaches, assumptions, and tradeoffs to support maintainability and knowledge sharing

What you’ll bring:

Contract

Remote

Role Description

As a Senior C++ Engineer, you will work remotely on an hourly paid basis to review AI-generated C++ code, systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with a fast-growing AI data services company and subsidiary of that provides AI training data to many of the world’s largest AI companies and foundation model labs, where your C++ and systems expertise will directly help improve the world’s premier AI models used by millions of developers worldwide.

Your Profile
• Bachelor's degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field.
• 4+ years of professional experience developing production software in C++ for systems, performance-critical, or large-scale applications.
• Expert-level proficiency in modern C++ (C++11 and later), including templates, move semantics, smart pointers, and the STL.
• Strong background in systems programming concepts such as concurrency, operating systems, low-level performance optimization, and memory management.
• Hands-on experience with C++ build systems, compilers, linkers, debuggers, and profiling or analysis tools.
• Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.
• Proven experience conducting detailed C++ code reviews and enforcing coding standards for safety, performance, and maintainability.
• Comfort working wit

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Octans Group LLC, is seeking the following. Apply via Dice today!
• *Must be local to GA
• *Job Title:
• *Sr.

Python

Full-Stack Engineer (AI/LLM /**
• Autonomous Agents
• )
• *Location:
• *GA - Must be local
• *Job Summary:**

We are seeking a Python Full-Stack Engineer with strong experience in AI/LLM-based solutions to build intelligent automation systems and autonomous agents. The ideal candidate will develop end-to-end applications integrating OpenAI models, Co-Pilot-style experiences, and scalable backend/frontend architectures to streamline business workflows.
• *Key Responsibilities:
• Build and deploy Python-based full-stack applications with AI capabilities
• Develop and orchestrate autonomous agents for workflow automation
• Integrate OpenAI/LLM models for reasoning, summarization, and decisioning
• Design REST APIs and scalable backend services
• Create intuitive front-end interfaces (React/Angular) for AI-driven apps
• Implement automation pipelines, schedulers, and event-driven systems
• Work with MCP/MKS environments for configurations and pipelines
• *Required Skills:
• Strong Python + full-stack development experience
• Hands-on with OpenAI/LLM applications and agent frameworks
• Experience with APIs, microservices, and async processing
• Knowledge of agent orchestration, prompt engineering, and automation
• Experience with React/Angular (or similar)
• Familiarity with MCP/MKS environments is a plus
• *Nice to Have:**
• Experience with Co-Pilot frameworks and AI-driven UX
• Background in enterprise workflow automation and scalable systems

You can also apply with your updated resume at
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