Principal / Senior AI Engineer (Agentic AI | Python | AWS)

Job Title: Principal / Senior AI Engineer (Agentic AI | Python | AWS)
Location: Richmond, VA or McLean, VA (Hybrid Local Candidates Only)

InPerson Interview

1^st preference ex Capone

Duration: 7 Months Contract
Role Overview:
We are seeking a highly experienced Principal / Senior AI Engineer to join a fast-paced, cross-functional engineering team within a leading enterprise organization. This is a hands-on builder role focused on designing and delivering Agentic AI solutions and transforming Generative AI prototypes into scalable, production-grade systems.
The ideal candidate will have deep expertise in Python full-stack development, LLMs, and AWS cloud architecture, along with proven experience building reliable, secure, and high-performance AI-driven applications.
Key Responsibilities
Agentic AI & Application Development:
Design, develop, and deploy AI-driven applications and multi-agent systems using frameworks like LangChain, LangGraph, and CrewAI
Build agentic workflows to automate complex engineering and business processes
RAG & LLM Engineering:
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines using Amazon Bedrock and vector databases (OpenSearch, Pinecone)
Work with LLMs (GPT, Claude, Llama) for real-world enterprise use cases
Implement LLM orchestration, tool usage, and function calling
Full-Stack & Backend Development:
Develop scalable applications using Python (frontend & backend), FastAPI, Pydantic, and async programming
Enable real-time AI capabilities including streaming responses and APIs
AI Integration & Enterprise Systems:
Integrate AI solutions with enterprise platforms such as ServiceNow, CMDB, and JIRA
Collaborate with frontend teams (React) to deliver intuitive AI-powered user experiences
Responsible AI & Governance:
Implement guardrails including prompt engineering, content moderation, bias detection, and output validation
Ensure compliance with enterprise security and AI governance standards
Observability, Evaluation & MLOps:
Build evaluation frameworks using Ragas, DeepEval
Implement observability using LangSmith, OpenTelemetry
Develop and maintain CI/CD pipelines for AI/ML workflows, prompt versioning, and deployment
Engineering Excellence:
Contribute to system design, architecture, and best practices
Provide technical leadership and AI expertise across teams
Drive improvements in engineering and operational excellence
Required Qualifications
10+ years of overall software engineering experience
7+ years of strong hands-on experience with Python (full-stack/backend)
2+ years of hands-on experience in AI / Generative AI / LLMs
5+ years of experience with AWS cloud (Bedrock, SageMaker, Lambda, etc.)
Proven experience building scalable, production-grade applications
Strong knowledge of system design, distributed systems, and backend architecture
Technical Skills: AI / GenAI: GPT-series, Claude, Llama, Hugging Face Transformers, PEFT
Agent Frameworks: LangChain, LangGraph, CrewAI, multi-agent systems, tool usage, function calling
Backend / Full Stack: Python 3.10+, FastAPI, Pydantic, Async programming
Cloud & Infrastructure: AWS (Bedrock, SageMaker, Lambda, RDS, pgvector), Serverless architecture
Vector Databases: OpenSearch, Pinecone
Observability & Evaluation: LangSmith, OpenTelemetry, Ragas, DeepEval
Preferred Qualifications
Experience building production-grade AI/ML platforms
Hands-on experience with LLM fine-tuning
Experience with multi-agent AI systems
Familiarity with CI/CD pipelines and MLOps practices
Prior experience with Client (highly preferred)
Experience with enterprise-scale integrations and platforms

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