Senior AI Solutions Engineer - STEM

Turing • San Francisco, NY

1d • $260,000 - $400,000 • Hybrid

About The Position

Turing is seeking a Senior AI Solutions Engineer to join their founding Field Engineering team. This role will be the primary technical partner for Turing's Research Partners, focusing on selling and demonstrating custom and off-the-shelf human expert datasets to frontier AI labs in the STEM domain. The successful candidate will be instrumental in building the foundational elements of the Field Engineering function, including the playbook, demo library, qualification bar, and handoff processes. The role involves technical discovery, solution architecture, prototyping, demo-building, POC ownership, R&D interfacing, and playbook development to drive revenue and accelerate AI research.

Requirements

• 5+ years in applied AI, data engineering, or ML engineering, with meaningful work on agentic systems, RAG, tool use, or enterprise-knowledge LLM applications.
• Strong Python fluency and production experience with LLM orchestration frameworks (LangGraph, LlamaIndex, DSPy, or equivalents).
• Experience designing evaluations for multi-step reasoning or agentic systems (rubric design, trajectory grading, measurement beyond single-turn accuracy).
• Exposure to frontier STEM workflows (biology, chemistry, physics, medical, engineering, mathematics) and their data/permission realities.
• High written communication bar: ability to produce a scoping document accepted by a frontier lab research lead without rewrite.
• Commercial instinct: willingness to be in customer meetings, read a room, and be measured on revenue.

Nice To Haves

• Prior time at a frontier AI lab, an AI startup building agentic products, or an enterprise AI team shipping to production.
• Experience with agentic or reasoning benchmarks (e.g., HLE, GPQA, or equivalents).
• Background in pre-sales, solutions architecture, or technical consulting.

Responsibilities

• Lead the technical discovery for qualified STEM opportunities, partnering with researchers and engineers to understand agentic capability goals and evaluation needs.
• Translate capability goals into scoped Turing deliverables, authoring technical proposals that can be executed by the Production Engineering team.
• Build reference agent loops, sample evaluations, and graded trajectories to demonstrate quality before contract signature, involving writing code.
• Own paid pilots from kick-off to scale-up decision, designing measurement plans and defining success criteria.
• Channel Go-To-Market (GTM) to R&D asks for STEM opportunities, pre-digesting technical requests and maintaining a collaboration cadence.
• Codify successful approaches by documenting discovery scripts, qualification criteria, demo artifacts, and objection-handling patterns for STEM opportunities.

Benefits

• OTE $260,000–320,000 (Senior) or $325,000–400,000 (Staff)
• 75/25 base/variable split
• Equity
• Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
• Awesome colleagues (Top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
• Competitive compensation
• Flexible working hours

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed