Solutions Engineer

Job Title Senior AI Solutions Engineer (SWE) Salary $260k-$400k OTE + Equity Company Description Turing is a leading AI infrastructure company that partners with frontier labs like OpenAI, Anthropic, and Meta to produce the high-quality post-training datasets and evaluations required for AGI. Job Description Join Turing as the founding Field Engineering hire reporting to the CRO. You will lead technical discovery and build production-grade code-generation demos for the world’s leading AI labs. By bridging the gap between frontier research and commercial impact, you’ll define the playbook for scaling expert human data and SWE-focused evaluations. Location San Francisco, USA Why this role is remarkable Founding role impact: You are the first Pre-Sales AI Solutions Engineer in the SWE domain, reporting directly to the CRO to build the Field Engineering function from scratch. Direct AGI contribution: Partner with researchers at OpenAI, Anthropic, and Google DeepMind to create the datasets and benchmarks that define the frontier of code-generation models. High-leverage compensation: Benefit from an OTE up to $400k plus significant equity in a well-funded company sitting at the center of the global AI ecosystem. What You Will Do Lead technical discovery and solution architecture for frontier labs, translating complex research needs into scoped Turing deliverables like custom datasets and agentic scaffolds. Build high-fidelity, code-driven prototypes and demos—not just slide decks—to prove Turing’s technical depth in code understanding and model evaluation. Own the end-to-end success of paid pilots, designing measurement plans and success criteria to convert technical proof-of-concepts into long-term enterprise scale-ups. The ideal candidate 5+ years of software or ML engineering experience with production-level expertise in code-generation, developer tooling, or agentic systems using Python and modern LLM stacks. Deep familiarity with code model evaluations, including rubric design, grader reliability, and industry benchmarks like SWE-bench or LiveCodeBench. Proven commercial instinct with prior experience in technical pre-sales, solutions architecture, or field engineering at an AI/ML or developer-tools company. #J-18808-Ljbffr