Senior AI Solutions Engineer - STEM

Turing • Seattle, WA

3h • $260,000 - $400,000 • Remote

About The Position

Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. This is a founding Field Engineering role. The playbook, the demo library, the qualification bar, and the handoff to Production Engineering do not yet exist — you will build them.

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 the data and permission realities inside them.
• A high written communication bar: you can produce a scoping document that a frontier lab research lead accepts without a rewrite.
• Commercial instinct: you want to be in customer meetings, you can read a room, and you are willing to 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

• Technical discovery — lead the technical track on every qualified STEM opportunity
• Partner with Research Partners to run the technical conversation with lab researchers and engineers.
• Understand what agentic capability the lab is trying to unlock, what "good" looks like, and what evaluations a post-training team would actually trust.
• Qualify opportunities against a bar you help define: scope, feasibility, strategic fit.
• Solution architecture — translate capability goals into scoped Turing deliverables
• Map research goals to Turing's offering shapes: agentic trajectories, rubric-graded reasoning tasks, tool-use evaluations, and domain-specialist-built datasets.
• Author technical proposals that frontier lab research leads accept and the Production Engineering team can execute without a rewrite.
• Prototyping and demo-building — prove the approach before contract
• Build reference agent loops, sample multi-step evaluations, and graded trajectories that demonstrate quality before contract signature.
• The demo has to run. Expect to write real code.
• POC ownership — take paid pilots from kick-off to scale-up decision
• Design a measurement plan the lab's research team will actually read and act on.
• Define success criteria, own the cadence, convert POC to production contract.
• R&D interface — channel GTM-to-R&D asks for STEM opportunities
• Pre-digest technical asks before routing to R&D. Shield research time from ad hoc calendaring.
• Maintain a collaboration cadence that R&D teams trust.
• Playbook building — codify what works so future hires scale faster than you did
• Document discovery scripts, qualification criteria, demo artifacts, and objection-handling patterns for STEM opportunities.
• Own the STEM section of the Field Engineering knowledge base.

Benefits

• Competitive compensation
• Flexible working hours
• Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
• Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)

What This Job Offers

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