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Turing is seeking a Senior Staff Forward Deployed AI Engineer to lead ambitious enterprise AI deployments. You will work directly with customers to identify high-value problems and architect, build, deploy, and scale production AI systems that solve them.
This is a hands-on, end-to-end ownership role—not research, advisory, or prototype-focused. You will operate at the intersection of Agentic AI, software engineering, systems architecture, and customer leadership, taking systems from problem discovery through production impact.
Key Responsibilities:
- Own AI systems end-to-end: Turn ambiguous customer problems into technical architectures and drive them from discovery and build through deployment, scale, and measurable impact.
- Build production Agentic AI: Architect and implement sophisticated AI agents using orchestration, tool use, context engineering, memory/state management, RAG/retrieval, and multi-step workflows.
- Engineer at enterprise scale: Build APIs, services, data pipelines, integrations, and distributed systems around models while owning reliability, evaluation, observability, security, latency, and cost.
- Lead technically with customers: Work directly with senior engineering and business stakeholders, shape requirements, challenge assumptions, and drive critical architecture decisions.
- Maintain high engineering standards: Stay deeply hands-on writing and reviewing production code, solving hard technical problems, and raising engineering quality across the team.
You will be equally comfortable writing production Python, architecting Agentic AI systems, debugging retrieval pipelines, whiteboarding distributed systems, and leading technical conversations with senior customer executives.
About Turing: Headquartered in San Francisco, Turing accelerates superintelligence by working with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and research benchmarks. Turing also partners with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems in mission-critical workflows.
Requirements:
- 8+ years building sophisticated production software with deep expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud platforms.
- Deep production experience with LLM/agent systems; strong understanding of orchestration, tool use, state & memory, context engineering, multi-step workflows, and how these systems behave and fail in production.
- Strong retrieval expertise beyond basics: embeddings, vector/hybrid search, reranking, evaluation, and diagnosing/improving retrieval quality.
- Proven track record taking complex systems from architecture through deployment and operation, with strong grasp of evaluation, observability, reliability, guardrails, latency, scalability, and cost.
- Exceptional client-facing skills: navigate ambiguity, earn trust quickly, challenge assumptions constructively, and communicate complex technical decisions equally well with senior engineers and business executives.
