Jobs

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

Job Title: Agentic AI Engineer

Location: Remote Job (Canada)

Duration: 12 Months+

Job Description:

We re looking for an Agentic AI Developer who lives at the intersection of Python, autonomous systems, and real-world impact.This isn t a train a model and throw it over the wall role you ll design, build, and ship AI agents that think, act, and learn inside real products.

What You ll Do:

Design and build agentic AI systems (planning, reasoning, tool use, memory, feedback loops)Develop and optimize Python-based AI services for production useArchitect multi-agent workflows and autonomous decision pipelinesIntegrate LLMs with APIs, databases, tools, and real-world actionsOwn features end-to-end from concept prototype productionRapidly experiment, measure outcomes, iterate, and improveCollaborate directly with founders, product, and customersMake smart trade-offs between speed, scalability, and correctness

What We re Looking For:

Strong Python skills (clean, readable, production-grade code)Hands-on experience with LLMs, agents, or autonomous workflows

Solid understanding of:

Prompt engineering & evaluationTool/function callingMemory & context managementOrchestration frameworks (Lang Chain, Crew AI, Auto Gen, or similar)Experience deploying AI systems (APIs, async jobs, background workers)Comfort with data stores (SQL/NoSQL/vector DBs)Familiarity with cloud environments (AWS/Google Cloud Platform/Azure is a plus)

Overview:

Job Title: Agentic AI Engineer / Multi-Agent Architect

Company: R2 Technologies

Location: Alpharetta, GA (Hybrid / Remote Options Available)

Employment Type: Full-Time / Contractual

About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.

Job Summary: R2 Technologies is seeking an Agentic AI Engineer to build the next frontier of autonomous software. Instead of building static applications, you will design autonomous agents capable of independent planning, tool usage, and cross-agent delegation. You will be instrumental in developing systems that can reason through complex, multi-step workflows, debug their own errors, and execute tasks without human intervention to power our proprietary platforms and enterprise client solutions.

Key Responsibilities: * Design and orchestrate multi-agent architectures that allow LLMs to collaborate, delegate tasks, and execute complex business workflows.

Build custom tools, functions, and API integrations that autonomous agents can trigger independently (e.g., executing code, querying databases, triggering webhooks). Utilize cutting-edge frameworks like LangChain, CrewAI, AutoGPT, or Microsoft Semantic Kernel to structure agentic logic and memory streams. Develop robust evaluation frameworks to score agent performance on reasoning, tool s

Company Description
Lumen Solutions Group Inc. is a technology consulting Services company based in Florida. We provide a wide array of experienced business and IT professionals supporting clients from solution design to implementation and support. We specialize in professional IT consulting services, IT Staffing, Business/IT Strategy, Business Process Blueprints, Enterprise Architecture, Enterprise Transformation.

Role: AI Agent Engineer / Agentic AI Engineer
Location: Austin, TX (Hybrid - On Site and Telework)
Job Type: Contract

Note: We need only Local Texas Candidates.

Job Summary:
We are seeking an experienced AI/ML Engineer / Autonomous Agent Engineer with 8+ years of hands-on experience in artificial intelligence, machine learning, and advanced data science to design, develop, and deploy production-grade autonomous AI agents and intelligent workflows. The ideal candidate will have a proven track record of building scalable, enterprise-ready AI solutions, including multi-agent systems, agentic workflows, and Retrieval-Augmented Generation (RAG) architectures using vector databases. This role requires deep expertise in context engineering, LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, or AutoGPT, and strong proficiency in Python along with leading AI/ML libraries and platforms including OpenAI, Hugging Face, and Azure AI.

Required Skills

4+ years of experience in AI/ML engineering or advanced data science. 4+ years of proven track record of building and deploying production-grade autonomous agents. 4+ years of strong experience in context engineering. 4+ years of deep experience with LangChain, LangGraph, CrewAI, or AutoGPT. 4+ years of experience implementing RAG architectures using vector databases. 4+ years of proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI). 4+ years of experience integrating LLMs via APIs. 4+ years of knowledge of AI governance, model lifecycle management, and evaluation. 4+ years

We are hiring as many as two Senior AI Engineers who can architect and ship agentic systems, swiftly. You will be embedded in the full product lifecycle: ideation, prototyping, testing, and iteration across multiple concurrent concepts. Our first platform targets compliance automation in regulated industries, starting with affordable housing, designed to scale horizontally. When something proves out, you go deep. When it doesn't, you let it go without sentiment and move to the next. If the products you launch draw early signs of product-market fit, the resources will be assigned accordingly to seize upon the opportunity and iterate.

What You'll Do

Design and deploy multi-agent orchestration systems using frameworks like LangGraph, CrewAI, AutoGen, or equivalent, and know when to roll your own
Build full-stack prototypes fast enough to validate or kill an idea within weeks, not quarters
Own the technical architecture on 2-4 parallel concepts at any point in time
Integrate LLMs, RAG pipelines, structured data sources, and external APIs into coherent product experiences
Oversee commercialization and enterprise-upgrading to bring MVPs to full launch
Instrument everything so decisions are data-driven, not vibes-driven
Collaborate directly with the principals. There is no middle layer here

Who You Are

You have built real agentic systems, not just demo apps. You understand tool use, memory architectures, multi-agent orchestration, and evaluation at a production level. You know the difference between a clever prototype and something that actually holds up under load
You move fast and you ship. You have launched products at startups where speed was the strategy, not just a nice-to-have. Weeks, not quarters
You are full-stack by necessity, not by title. Frontend, backend, infra, pipelines. You do what needs doing and figure out the rest on the fly
You have strong opinions about what makes software work and zero patience for unnecessary complexity. You woul

This role is part of the Jobright Direct Hiring Network, where top companies like Cresta AI, Plaud, Mercor, OpenArt, and 1,500+ others hire top talent directly through our platform.

This is not a mass job posting. Only select, high-signal candidates are invited and recommended directly to hiring teams

Hiring Company: Creao AI

One-liner: CREAO is redefining the relationship between people and software by empowering users to create custom, conversational AI applications using natural language.

Salary:

Why Join Us:

Role Responsibilities

• Design, develop, and deploy AI agents using LLMs (e.g., GPT, Claude, open-source models)

• Build multi-step reasoning, planning, and tool-using agent workflows

• Integrate AI agents with internal systems, APIs, databases, and third-party services

• Implement evaluation frameworks to measure agent performance, reliability, and safety

• Optimize prompts, memory systems, retrieval pipelines, and agent architectures

• Collaborate with product, engineering, and design teams to translate real-world problems into AI-driven solutions

• Improve system scalability, latency, and cost efficiency

• Monitor agent behavior in production and continuously iterate based on feedback and data

• Ensure responsible AI practices, including privacy, safety, and bias mitigation

Qualitications

Required

• Strong software engineering skills in Python, TypeScript, or similar

• Experience working with LLMs, AI frameworks, or ML systems

• Understanding of agent architectures, such as: Tool use / function calling, Planning & reasoning, Memory & retrieval (RAG)

• Experience integrating APIs, databases, and distributed systems

• Ability to ship production-ready systems with reliability and observability in mind

Preferred

• Experience with frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar

• Experience with vector databases (Pinecone, FAISS, Milvus, etc.)

• Knowledge of evaluation methods for generative AI systems

• Experie

Role: AI Agent Engineer

Location: Austin TX

Duration: 4 Contract

Job Description

HHSC has issued a request for an AI Agent Engineer that will be responsible for designing and building agentic AI solutions, including autonomous workflows and RAG-based systems, to improve productivity, automate business processes, and support intelligent decision-making. This role focuses on production-grade agent development using tools like LangChain, LangGraph, CrewAI, and AutoGPT, with strong attention to governance, security, safety controls, and cost efficiency. The ideal candidate brings strong Python and LLM integration experience, plus the ability to build secure, scalable AI solutions for enterprise use.

Responsibilities include (but are not limited to):

Design and develop autonomous AI agents, RAG pipelines, and intelligent workflows that support business automation and decision-making.
Integrate LLMs securely using APIs, vector databases, MCP, and AI guardrails to support governed enterprise use cases.
Build, test, and maintain production-ready AI solutions with strong focus on governance, privacy, safety, and cost efficiency.

Minimum Candidate Characteristics:

4+ years of experience in AI/ML engineering or advanced data science with proven delivery of production-grade autonomous agents.
4+ years of experience building RAG architectures using vector databases and integrating LLMs through APIs.
4+ years of hands-on experience with Python, AI/ML libraries, and agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGPT.

Exceptional Candidate Characteristics:

Experience with an HHS agency.
Experience building multi-agent or autonomous agentic workflows in enterprise environments.
Experience optimizing LLM cost, token usage, and runtime performance.
Familiarity with enterprise AI deployment patterns, scalability, and operational controls.

Pay: $70.00 - $75.00 per hour

Benefits:

401(k)
Dental insurance
Health insurance
Vision insur

Our client is a world-renowned biotech powerhouse, but they're currently operating with the speed and ambition of a startup in the AI space. We aren't just looking for someone to build chatbots; we need a Senior Agentic AI Modeler who can architect systems that actually reason, plan, and solve complex problems autonomously.

If you’re obsessed with the 'bilingual' intersection of traditional predictive modeling and the new frontier of Multi-Agent orchestration (and you've already started playing with MCPs), we should talk.
• You'll have the freedom of a heavily remote schedule, with the added benefit of joining the team in the office roughly once a week (about 5 days a month) to stay connected.

About the Role:

Agentic System Design & Development
• Architect and implement autonomous and semi-autonomous agent workflows using modern frameworks (LangChain, OpenAI Assistants, Semantic Kernel, LlamaIndex, CrewAI, DSPy, etc.)
• Build agents capable of multi-step reasoning, task decomposition, planning, and tool execution.
• Develop tooling ecosystems—function APIs, retrieval endpoints, evaluators, monitoring hooks—for agent orchestration.
• Prototype, fine-tune, and optimize LLMs, RAG systems, and multi-agent architectures for reliability and low hallucination rates.

Modeling & Prompt Engineering
• Create robust prompt pipelines, templates, and routing strategies for diverse commercial/analytics use cases.
• Optimize agent behaviors via prompt distillation, chain-of-thought design, system message tuning, guardrails, and evaluation frameworks.
• Use datasets and logs to refine agent behavior through supervised fine-tuning or RLAIF where applicable.

Solution Integration & Delivery
• Integrate agents with enterprise systems, APIs, data stores, CRMs, search tooling, and business applications.
• Implement observability for agent decision-making: trace logs, tool call audits, success/failure rates, safety events, drift.
• Partner with engineering and MLOps to deploy agentic

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Atika Tech, is seeking the following. Apply via Dice today!

Position: Agentic AI Engineer

Location: Chicago, IL

Duration: 12+ Months

Key Responsibilities

Architecture & Design: Lead the design and implementation of stateful, multi-agent systems using frameworks like LangGraph, CrewAI, or AutoGen.

Agent Orchestration: Develop robust reasoning loops (e.g., ReAct, Chain-of-Thought) and manage complex state, memory, and task hand-offs between specialized agents.

System Integration: Build secure interfaces (e.g., using Model Context Protocol (MCP)) to connect agents with enterprise APIs, databases, and external tools.

Production Excellence: Own the deployment, monitoring, and observability of agents in production using tools like Langfuse or LangSmith to trace reasoning and optimize performance.

Guardrails & Safety: Implement human-in-the-loop (HITL) mechanisms, input/output validation, and ethical guardrails to ensure agents operate safely and within regulatory boundaries.

Leadership: Mentor junior engineers, define coding standards for non-deterministic AI outputs, and drive the technical roadmap for agentic systems.

Required Technical Skills

Programming: Deep proficiency in Python and experience with backend frameworks like FastAPI.

AI Frameworks: Hands-on expertise in LangChain, LlamaIndex, and agent-specific orchestration patterns.

Data Systems: Strong knowledge of Vector Databases (e.g., Pinecone, Chroma), RAG architectures, and knowledge graphs.

Cloud & DevOps: Experience deploying AI workloads on AWS, Azure, or Google Cloud Platform using Docker and Kubernetes.

Evaluation: Proficiency in building automated evaluation harnesses (e.g., LLM-as-a-Judge) to measure accuracy and reduce hallucinations.

Qualifications

Experience: 5 8+ years in software engineering, with at least 2+ years focused on GenAI/Agentic AI implementations.

Education: Bachelor s

About Eleven Recruiting

We are a specialized technology staffing agency supporting professional and financial services companies. Why do we stand out in technology staffing? We listen and act as advisors for our candidates on how they can best add value, find interesting projects, and pave a path for career advancement. We advocate for best pay, diversity in tech, and best job-fit for every candidate we place.

Our client, an investment firm, is seeking a Software Engineer, AI Applications to join their team in New York, NY!

Responsibilities:
• Integrate LLM-powered features — including search, summarization, and workflow automation — into an existing product, working within established codebases and UI patterns.
• Design a data and metadata layer that makes AI outputs explainable, auditable, and reusable across teams.
• Set engineering patterns for how AI capabilities are built, tested, evaluated, and maintained going forward.
• Scope and ship near-term, high-ROI agentic workflows — such as automated meeting prep briefs, pipeline summaries, and relationship intelligence digests.
• Build backend services and APIs that synthesize internal data, activity history, and context into client-ready outputs.
• Take on additional projects and responsibilities as needs evolve across the engagement.

Qualifications:
• 5–8 years of software engineering experience with a strong backend or fullstack foundation.
• 2+ years of focused experience building and shipping LLM-powered applications to production — not just prototypes.
• Solid understanding of how to integrate AI capabilities into existing systems: APIs, data pipelines, and product codebases.
• Hands-on experience with RAG pipelines, prompt engineering at scale, and LLM evaluation.
• Pragmatic product sensibility — able to identify what is worth building, scope it tightly, and ship it.

Preferred:
• Experience with agent orchestration frameworks such as LangGraph or CrewAI.
• Domain exposure in financial services — credit

• *Job Description: AI Agent Engineer**

(Agent Building Team)
• Role:

AI Agent Engineer
• Job Location:

New Jersey
• Word Mode:

Hybrid
• Experience:

4+ years
• *About the Role**

We are looking for an AI Agent Engineer to join client’s Agent Building team to develop intelligent agents and business applications consuming the Enterprise AI Platform, with a focus on agent orchestration, evaluation frameworks, and domain-specific workflows using platform primitives.
• *Key Responsibilities**

· Build agents using AWS Strands SDK, Bedrock AgentCore SDK, and CrewAI orchestration

· Develop agent logic and troubleshooting using strong Python skills

· Implement comprehensive evaluation frameworks for model performance and RAG quality

· Create backend services with Python and integrate with platform APIs

· Build frontend experiences using React JS and Node JS frameworks

· Manage source code with Git/Bitbucket using agile development practices

· Design and debug agent behaviors for production reliability and business outcomes

· Integrate domain-specific RAG pipelines and evaluation metrics

· Consume platform services (gateways, MCP tools, observability) following security patterns
• *Required Skills & Qualifications**

· 4+ years Python development with AI/ML frameworks (CrewAI, LangChain, or equivalent)

· Hands-on experience building production agents with Bedrock AgentCore SDK, Strands SDK/CrewAI

· Strong evaluation framework development (LLM judging, RAG metrics, agent success criteria)

· Full-stack development experience (React JS frontend, Node JS/Python backend)

· Agent debugging and observability skills for complex multi-agent workflows

· Experience consuming enterprise API platforms (REST/GraphQL/OAuth2) securely
• *Nice to Have**

· Domain expertise in financial services use cases for agentic AI

· Multimodal agent development (text + image/audio processing)

· Previous CrewAI production deployments with custom tools and memory management
• Integers.