Jobs

We are:

A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.

You are:

An AI Native Engineer with a minimum of 5 years of experience building cloud-native solutions, and deep expertise in designing and deploying agentic systems, especially for enterprise environments. You are a critical thinker that thrives in ambiguity, delivering concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure. You’ll help shape the playbook for how enterprises adopt and scale AI-native engineering globally.

The Work:

You’ll embed directly with clients — acting as both technologist and trusted advisor. You’ll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be completely net new platforms and systems that need to be stitched together in our clients' environments alongside our Ecosystem partners.

Responsibilities:

Agent Architecture and Engineering: Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.

AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc. ) to enable seamless integration and enablement.

Cloud-Native Engineering: Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems.

Domain-Specific Workflows: Tailor and deploy agentic applications across verticals — e.g., finance,

What you will do

In this role you will build the agentic systems that power Teradata's next generation of AI-driven analytics - intelligent agents that reason over enterprise data, invoke Vantage capabilities as tools, and complete multi-step analytical tasks autonomously.

You will design and implement agent skills and plugins that extend the Teradata agent harness, build evaluation frameworks to measure agent quality, and contribute to the reliability and performance of agent workflows running on Vantage. Your work directly enables customers to move from asking Teradata questions to delegating analytical tasks to AI agents.

Success looks like agents in production that solve real customer problems - with measurable accuracy, latency, and reliability benchmarks that outperform what is possible on Snowflake Cortex or Databricks Genie.

Who you will work with

You will join a focused team of AI engineers within Teradata's AI Apps, Analytics, and UX Engineering organization, working on the most technically ambitious part of the Teradata product roadmap. We ship code, not demos.

This role reports to the Senior Manager of AI Engineering and collaborates closely with Staff AI Engineers, the Agent Platform team, and Product Management. You will have access to Teradata's world-class data infrastructure and the opportunity to shape how enterprise agents work at scale.

What makes you a qualified candidate
3-6 years of software engineering experience with at least 2 years building agentic AI systems in production - not just RAG pipelines or chatbots. Hands-on experience implementing agent skills, plugins, or tools that extend an agent harness (Claude Code, OpenCode, Codex, OpenClaw, LangGraph, or equivalent). Proficiency in Python; Go experience is a strong advantage. Understanding of agent planning loops, tool-calling protocols, function calling APIs (OpenAI, Anthropic, or Google format), and prompt engineering for reliability.
What you will bring
Op

We are:

A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.

You are:

An AI Native Engineer with a minimum of 5 years of experience building cloud-native solutions, and deep expertise in designing and deploying agentic systems, especially for enterprise environments. You are a critical thinker that thrives in ambiguity, delivering concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure. You’ll help shape the playbook for how enterprises adopt and scale AI-native engineering globally.

The Work:

You’ll embed directly with clients — acting as both technologist and trusted advisor. You’ll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be completely net new platforms and systems that need to be stitched together in our clients' environments alongside our Ecosystem partners.

Responsibilities:

Agent Architecture and Engineering: Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.

AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc. ) to enable seamless integration and enablement.

Cloud-Native Engineering: Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems.

Domain-Specific Workflows: Tailor and deploy agentic applications across verticals — e.g., finance,

We are:

A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.

You are:

An AI Native Engineer with a minimum of 5 years of experience building cloud-native solutions, and deep expertise in designing and deploying agentic systems, especially for enterprise environments. You are a critical thinker that thrives in ambiguity, delivering concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure. You’ll help shape the playbook for how enterprises adopt and scale AI-native engineering globally.

The Work:

You’ll embed directly with clients — acting as both technologist and trusted advisor. You’ll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be completely net new platforms and systems that need to be stitched together in our clients' environments alongside our Ecosystem partners.

Responsibilities:

Agent Architecture and Engineering: Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.

AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc. ) to enable seamless integration and enablement.

Cloud-Native Engineering: Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems.

Domain-Specific Workflows: Tailor and deploy agentic applications across verticals — e.g., finance,

We Are:

Accenture's Oracle Business Group AI Center of Excellence is one of the most active enterprise AI innovation environments in the Oracle ecosystem.

We build real products that close deals and run in production — a knowledge platform spanning 27 Oracle knowledge servers and 980K+ documents. We move at startup speed inside a global platform, and we're scaling fast.

This is a founding team, these first hires will shape the culture, the systems, and the trajectory of the work we are doing!

You Are:

You're an AI builder who doesn't wait for permission. You've rebuilt how you work around AI agents — not just adopted them. You ship agentic systems, you know the Anthropic ecosystem, and when a new research paper or open-source repo drops, you're testing it the next day. You have an instinct for turning cutting-edge AI into commercial value.

You're equally comfortable in a technical deep-dive and a client conversation.

You might come from engineering, consulting, product, or pre-sales — what matters is that you build things that work and can explain why they matter.

The Work:

Contribute to the Knowledge Repository — a multi-tenant enterprise knowledge platform built on Oracle 23ai, powering intelligent search and document retrieval at scale

Build and extend MCP server infrastructure — our federated Model Context Protocol network across Oracle product lines, including retrieval pipelines and evaluation frameworks

Accelerate AI-assisted sales pursuits — helping sales teams win faster with AI-generated content, live demo agents, and intelligent presentation assets

Serve as an Anthropic / AI coding agent SME across internal teams and client-facing engagements

Partner with solution architects, sales, and delivery teams to embed AI across the Accenture-Oracle alliance

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business ne

HiHope you are doing well

This is Bhanu from Intellectt INC; we have an immediate opportunity with one of our clients. Please find the below job description and if you are interested, please forward your resume to bhanuprakash@intellectt.com

Position: Agentic AI Engineer (Python)
Location: Atlanta, GA – Onsite
Duration: Long Term

Job Description:

We are seeking an experienced Agentic AI Engineer to design and implement intelligent systems leveraging autonomous agents, LLMs, and advanced Python frameworks. The ideal candidate will have hands-on experience developing agentic AI solutions that can plan, reason, and act using multi-agent orchestration and modern AI toolkits.

Key Responsibilities:

Design and build agentic AI frameworks and intelligent workflows using LLMs.Develop and integrate Python-based AI applications with internal systems and APIs.Utilize tools such as LangChain, CrewAI, AutoGen, or OpenDevin for agent orchestration.Build AI pipelines that can autonomously perform reasoning, decision-making, and task execution.Collaborate with cross-functional teams to align AI initiatives with business goals.Optimize AI agents for scalability, performance, and accuracy in production environments.Stay current with advancements in LLMs, agentic AI, and generative AI ecosystems.Required Skills & Experience:

Strong programming skills in Python and familiarity with AI/ML frameworks.Proven experience developing LLM-driven or multi-agent AI systems.Hands-on experience with LangChain, AutoGen, CrewAI, or related frameworks.Knowledge of OpenAI, Anthropic, or AWS Bedrock APIs.Experience with prompt engineering, retrieval-augmented generation (RAG), and vector databases (e.g., FAISS, Pinecone, Chroma).Strong problem-solving and analytical skills.Excellent communication and teamwork abilities.Nice to Have:

Experience in healthcare or insurance domain.Familiarity with cloud platforms (AWS, Azure, or GCP) for deploying AI models.Exposure to MLOps or AI agent lifecycle ma

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company on track to hit $100M in annual recurring revenue in the next six months. More than 87,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business.

The Opportunity

We don't just use AI. We build with it, ship with it, and think with it. We're in the top 1% of companies applying AI effectively, not just to our products, but to how we build them. With an unlimited budget for Anthropic tokens, our engineers use AI agents to write, review, and ship production code every day. We're building toward a world where humans design systems and AI builds them, and we're already further along that path than almost anyone else.

As a Staff Software Engineer, you'll be a technical leader at the center of this transformation. You'll shape platform architecture, drive AI-powered product delivery, and raise the bar for what a small, AI-augmented engineering team can accomplish. This is a role for someone who already lives in their terminal with AI, who has strong opinions about how AI changes system design, and who wants to help define what a next-generation engineering organization looks like.
What You'll Do as a Staff Engineer on Our Auggie Platform Team

Here are examples of the kinds of initiatives you'd work on today:

Multi-agent orchestration and execution. Design and build the core systems that let multiple autonomous agents collaborate, delegate, and execute complex business workflows in production — not chatbot interactions, but structured multi-step operations running across real business data.

Autonomous workflow automation. Build the automation layer that turns business processes into agent-driven workflows with structured data models, conditional logic, and human-in-the-loop review queues that keep autonomous systems safe and reli

We Are:

Accenture's Oracle Business Group AI Center of Excellence is one of the most active enterprise AI innovation environments in the Oracle ecosystem.

We build real products that close deals and run in production — a knowledge platform spanning 27 Oracle knowledge servers and 980K+ documents. We move at startup speed inside a global platform, and we're scaling fast.

This is a founding team, these first hires will shape the culture, the systems, and the trajectory of the work we are doing!

You Are:

You're an AI builder who doesn't wait for permission. You've rebuilt how you work around AI agents — not just adopted them. You ship agentic systems, you know the Anthropic ecosystem, and when a new research paper or open-source repo drops, you're testing it the next day. You have an instinct for turning cutting-edge AI into commercial value.

You're equally comfortable in a technical deep-dive and a client conversation.

You might come from engineering, consulting, product, or pre-sales — what matters is that you build things that work and can explain why they matter.

The Work:
• Contribute to the Knowledge Repository — a multi-tenant enterprise knowledge platform built on Oracle 23ai, powering intelligent search and document retrieval at scale
• Build and extend MCP server infrastructure — our federated Model Context Protocol network across Oracle product lines, including retrieval pipelines and evaluation frameworks
• Accelerate AI-assisted sales pursuits — helping sales teams win faster with AI-generated content, live demo agents, and intelligent presentation assets
• Serve as an Anthropic / AI coding agent SME across internal teams and client-facing engagements
• Partner with solution architects, sales, and delivery teams to embed AI across the Accenture-Oracle alliance

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's what you need:
• Minimum of 5 years experience

We Are

A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.

You are

An AI Native Engineer with a strong foundation in building cloud-native solutions and hands-on experience designing and deploying agentic systems, especially for enterprise environments. You’re a critical thinker who thrives in ambiguity, delivering concrete results by designing, building, and running AI agents that augment workflows and scale across modern infrastructure.

You'll shape how enterprises adopt AI-native engineering - either by leading complex agentic solutions and developing engineering talent, or by owning critical technical areas end-to-end as a senior IC

The Work

You’ll partner directly with client stakeholders — acting as both technologist and trusted advisor. You’ll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be net-new platforms and systems that need to be stitched together in our clients’ environments alongside our ecosystem partners.

Agent Architecture & Engineering
• Design and build enterprise-ready AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• Implement resilient, testable, and maintainable agentic workflows that can be iterated on quickly.

AI Platform Integration
• Develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and multi-provider enablement.
• Contribute to shared libraries, SDKs, and patterns that can be reused across clients.

Cloud-Native Engineering
• Leverage containerization (Kubernetes, Dock

We are:

A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.

You Are:

A Forward-Deployed AI Engineer who thrives at the intersection of cutting-edge AI platforms, enterprise systems, and real-world business problems. It is a product-minded, customer-embedded engineering role where you will work directly with clients, partners, and internal product teams to design, prototype, deploy, and scale end-to-end AI solutions.

The Work:

You will work hands-on with platforms such as OpenAI, Anthropic, ServiceNow, and other enterprise systems, translating ambiguous business needs into production-grade AI workflows that deliver measurable impact.

This role requires strong engineering depth, excellent communication, comfort with ambiguity, and a builder’s mindset.

Responsibilities:

Work directly with clients and internal teams to understand business problems, shape AI use cases, and define technical solutions — often from ambiguous or evolving requirements.

Design and implement end-to-end AI solutions, integrating LLMs and AI services (OpenAI, Anthropic, etc.) with enterprise platforms (ServiceNow, Salesforce, data platforms, internal systems).

Rapidly prototype, iterate, and deploy AI-enabled workflows, agents, copilots, and automations into real operational environments.

Serve as the technical bridge between product, engineering, data, and business stakeholders, ensuring solutions are technically sound, usable, and aligned with business value.

Drive solution architecture, including:

Prompt and workflow design

API integrations and orchestration

Enterprise knowledge integration)

Security, privacy, and governance considerations

Own solutions from concept → prototype → production → iteration, with acco

We Are:

Accenture's Oracle Business Group AI Center of Excellence is one of the most active enterprise AI innovation environments in the Oracle ecosystem.

We build real products that close deals and run in production — a knowledge platform spanning 27 Oracle knowledge servers and 980K+ documents. We move at startup speed inside a global platform, and we're scaling fast.

This is a founding team, these first hires will shape the culture, the systems, and the trajectory of the work we are doing!

You Are:

You're an AI builder who doesn't wait for permission. You've rebuilt how you work around AI agents — not just adopted them. You ship agentic systems, you know the Anthropic ecosystem, and when a new research paper or open-source repo drops, you're testing it the next day. You have an instinct for turning cutting-edge AI into commercial value.

You're equally comfortable in a technical deep-dive and a client conversation.

You might come from engineering, consulting, product, or pre-sales — what matters is that you build things that work and can explain why they matter.

The Work:

Contribute to the Knowledge Repository — a multi-tenant enterprise knowledge platform built on Oracle 23ai, powering intelligent search and document retrieval at scale

Build and extend MCP server infrastructure — our federated Model Context Protocol network across Oracle product lines, including retrieval pipelines and evaluation frameworks

Accelerate AI-assisted sales pursuits — helping sales teams win faster with AI-generated content, live demo agents, and intelligent presentation assets

Serve as an Anthropic / AI coding agent SME across internal teams and client-facing engagements

Partner with solution architects, sales, and delivery teams to embed AI across the Accenture-Oracle alliance

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requir