Forward Deployed Engineer III, Applied AI
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Build agentic systems automating complex workflows across healthcare, legal, and fintech on the core product team. You'll own RAG pipelines, multi-agent orchestration, and evaluation infrastructure, shipping full-stack AI products from MVP to enterprise grade. Requires two to eight years of software engineering experience, hands-on LLM deployment background, and proficiency in Python and TypeScript/React. On-site in San Francisco. Salary $180,000–$400,000 annually.
Written from this posting by Neural Jobs AI. The full description is below.
This is a mid-level AI Engineer position on the core product team at a pre-seed AI startup in the recruitment technology space. You will build agentic systems that automate complex, multi-step workflows across regulated and enterprise domains, working closely with founders and design to ship production-grade LLM-powered experiences that create real user impact.
Design, build, and maintain agentic systems that automate multi-step workflows across domains such as healthcare, legal, fintech, logistics, and compliance.
Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing for domain-specific search at scale.
Implement multi-agent orchestration, tool-calling, memory, and reasoning components to deliver robust AI-driven user experiences.
Develop evaluation and safety infrastructure to measure model performance, surface regressions, and enforce enterprise-level reliability.
Ship full-stack AI products from MVP to enterprise-grade by designing APIs and data models, implementing frontend and backend code, and operating production systems with CI/CD, monitoring, and testing.
Collaborate with founders, product, and design to prioritize work, define success metrics, and iterate based on user feedback and telemetry.
2 to 8 years of software engineering experience with a track record of shipping user-facing or backend products.
Hands-on AI/software engineering background, with practical production experience deploying LLM services including prompt design, orchestration, and tool integration.
Full-stack proficiency in Python and TypeScript/React (or equivalent), plus experience with cloud platforms (AWS or GCP) and relational or NoSQL databases.
Working knowledge of RAG patterns, vector databases, embeddings, and retrieval pipelines, with sound judgment in choosing appropriate approaches.
Experience building automated tests, evaluations, and monitoring for production AI systems.
Experience designing API-driven, high-throughput systems and real-time product features.
Comfort operating in an early-stage startup environment with a bias toward ownership and cross-functional collaboration.
Familiarity with agent or workflow frameworks (such as LangGraph or CrewAI) and orchestration tools (such as Temporal or Trigger) is a plus.
Experience with multi-tenant or enterprise-ready systems, or regulated industries such as healthcare, fintech, or legal, is a plus.
Salary range: $180,000 to $400,000 USD annually. Visa sponsorship is not available for this role.
On-site in San Francisco, California, United States. Candidates must be able to work on-site or willing to relocate.
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