What are the responsibilities and job description for the Principal AI Engineer - Mclean, VA /Richmond, VA (Hybrid work) position at MetaSense, Inc.?
Experience Requirements:
Total Experience: 10 years in Software Engineering.
Python Mastery: 7 years of professional backend development.
AI/GenAI: 2 years of hands-on implementation with LLMs (Claude, GPT, Llama).
AWS: 5 years architecting cloud-native applications.
Key Deliverables
Agentic Workflows: Design and deploy multi-agent systems using LLM orchestration frameworks (e.g., LangGraph, CrewAI) to automate complex cross-functional business processes, targeting measurable efficiency gains.
Production RAG: Build and optimize high-performance Retrieval-Augmented Generation pipelines using Amazon Bedrock and vector databases (e.g., OpenSearch, Pinecone), with clear latency and accuracy targets.
AI Integration: Develop robust FastAPI backends that make model outputs actionable for end-users. Collaborate with frontend engineers on React-based AI interfaces and streaming UI components.
Responsible AI & Guardrails: Implement prompt safety mechanisms, output filtering, bias evaluation, and content moderation to ensure production LLM systems meet security and compliance standards.
Engineering Excellence: Implement automated AI evaluation frameworks (e.g., Ragas, DeepEval), observability tooling (e.g., LangSmith, OpenTelemetry), and CI/CD pipelines for LLM prompts and code.