AWS Network Engineer

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., * 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

• 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 -