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

Introduction: Join a fast-paced, cross-functional engineering team at a leading enterprise organization as a Principal / Senior AI Engineer. This hands-on role focuses on designing and delivering Agentic AI solutions, transforming Generative AI prototypes into scalable, production-grade systems. We''re looking for a Python full-stack expert with deep LLM and AWS experience to build reliable, secure, high-performance AI applications.

Responsibilities:

• Agentic AI & Application Development: Design, develop, and deploy AI-driven applications and multi-agent systems using LangChain, LangGraph, and CrewAI; build workflows to automate complex engineering and business processes.
• RAG & LLM Engineering: Optimize Retrieval-Augmented Generation (RAG) pipelines with Amazon Bedrock and vector databases (OpenSearch, Pinecone); work with LLMs like GPT, Claude, and Llama for enterprise use cases, including orchestration, tool usage, and function calling.
• Full-Stack & Backend Development: Build scalable apps with Python (frontend/backend), FastAPI, Pydantic, and async programming; enable real-time AI features like streaming responses and APIs.
• AI Integration & Enterprise Systems: Integrate AI with platforms like ServiceNow, CMDB, and JIRA; collaborate with React frontend teams for intuitive user experiences.
• Responsible AI & Governance: Implement guardrails via prompt engineering, content moderation, bias detection, and output validation; ensure compliance with security and AI governance standards.
• Observability, Evaluation & MLOps: Create evaluation frameworks with Ragas and DeepEval; use LangSmith and OpenTelemetry for observability; manage CI/CD pipelines, prompt versioning, and AI/ML deployments.
• Engineering Excellence: Lead system design, architecture, and best practices; provide technical leadership and drive operational improvements.

Requirements:

Required Qualifications:

• 10+ years of software engineering experience.
• 7+ years hands-on with Python (full-stack/backend).
• 2+ years in AI/Generative AI/LLMs.
• 5+ years with AWS (Bedrock, SageMaker, Lambda, etc.).
• Proven track record building scalable, production-grade applications.
• Strong system design, distributed systems, and backend architecture knowledge.

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:

• Production-grade AI/ML platform experience.
• LLM fine-tuning and multi-agent AI systems.
• CI/CD and MLOps practices.
• Prior experience with Capital One (highly preferred).
• Enterprise-scale integrations.