Job Description
Forward deployed engineer, AI (remote)Our client puts engineers directly inside customer environments to build AI systems that work on messy, real data.
You’ll sit between the customer and the product team: scoping the problem, writing production code in Python, and getting it live. Remote, US-based.
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Build and deploy LLM applications: RAG pipelines, multi-step agents, and tool integrations over MCP.
Connect models to the customer’s systems: APIs, databases, data warehouses, SSO.
Bring what you learn in the field back to the product team so the next deployment goes faster.
8+ years in software engineering, with recent work shipping LLM-powered systems to production.
Strong Python, plus TypeScript or another backend language.
Hands-on work with LLM APIs from OpenAI, Anthropic (Claude), or Google (Gemini).
Cloud deployment on AWS, Azure, or GCP, including Bedrock, Azure OpenAI Service, or Vertex AI.
You’re comfortable in front of a customer’s VP in the morning and in their codebase that afternoon.
Agent-to-agent work using Google’s A2A protocol.
Prior consulting, solutions engineering, or customer-facing engineering roles.
Experience with HIPAA or PII-regulated data.