Principal Forward Deployed Engineer

Job description

The role involves designing, building, and shipping end-to-end AI-native systems including agents, workflows, and RAG integration. Write production-grade Python code, collaborate with SMEs and end‑users, design feedback loops, create evaluation pipelines, handle failures with retries and human‑in‑the‑loop actions, capture domain expertise, troubleshoot technical challenges, and ensure engineering excellence through test‑driven development and CI practices

Requirements

• 7+ years of software engineering experience
• building production AI and LLM applications
• expert-level Python skills and solid software engineering fundamentals
• hands‑on experience with agentic frameworks such as LangChain, LangGraph or Semantic Kernel and major LLM providers
• strong RAG and retrieval skills including vector databases, embeddings, hybrid search and context management
• production deployment on AWS, Azure or GCP with containerization and CI/CD
• proven experience evaluating generative AI quality using custom evaluation frameworks and observability tools
• capability to work closely with clients, lead discovery conversations and explain technical trade‑offs
• strong agent‑design and engineering judgment under ambiguity
• C1 level English proficiency
• academic degree in Computer Science, Software Engineering or related field
• nice to have experience designing experiments, A/B testing and iterating AI products based on real user behavior
• strong background in NLP, Data Science or applied machine learning with production model deployment
• familiarity with Model Context Protocol (MCP), Agent‑to‑Agent (A2A), Agent Skills and emerging standards
• experience with enterprise AI platforms such as AWS Bedrock AgentCore, Databricks Genie or Microsoft Foundry
• exposure to AI governance, security and compliance including guardrails and prompt‑injection prevention.

Skills