Forward Deployed Engineer

Role overview

Bring AI software into real customer environments and make it useful in day-to-day operations. Working alongside customer teams, you will turn business needs and constraints into production systems, handling the full delivery process from discovery and design through deployment and handoff.

Responsibilities - Work with customers to understand requirements and implement end-to-end solutions using an AI platform. - Build integrations, agents, retrieval-augmented generation pipelines, tool-use features, and workflow automation tailored to customer data and systems. - Own delivery from scoping and architecture through coding, testing, deployment, and operational handoff. - Apply foundation models, retrieval, structured outputs, and orchestration to solve customer problems in production. - Address deployment needs such as authentication, data pipelines, latency, reliability, security reviews, and ongoing operations. - Share field learnings with product, research, and solutions teams to improve the platform and support customer adoption.

Requirements - At least 3 years of software engineering experience delivering production systems. - Strong Python and TypeScript skills, including the ability to work in established codebases under time pressure. - Practical experience integrating AI or LLM capabilities, such as RAG, agents, function calling, embeddings, or vector search, into existing environments. - Customer-facing technical delivery experience in areas such as consulting, implementation, or solutions engineering. - Ability to work independently amid ambiguity and communicate with technical and non-technical stakeholders. - Sound judgment about cost, latency, reliability, and production readiness; willingness to travel or work on-site when needed.

Nice to have - Experience with agent frameworks, MCP, or orchestration tools such as LangGraph or Temporal. - Background in data engineering, infrastructure, systems integration, or complex enterprise software. - Experience with security, compliance, or red-team reviews for customer deployments. - Open-source contributions or public writing about applied AI.

Benefits and work setup - Remote work from anywhere in the United States, with travel or on-site work as needed. - Medical, dental, and vision coverage; FSA/HSA; tuition reimbursement; and a 401(k) with company match. - Unlimited paid time off, wellness benefits, and equity. The listing gives a base salary range of $210,000–$270,000 or more, depending on assessed level and candidate factors.