Senior AI Solutions Engineer ($260k-$400k OTE + Equity) at Turing

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.

About the role

• 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.

Responsibilities

• Translate 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.
• Design measurement plans and success criteria to convert technical proof-of-concepts into long-term enterprise scale-ups.

Requirements

• 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.

Qualifications

• BS/MS in Computer Science, Artificial Intelligence, or related field.
• Experience with code model evaluations, including rubric design, grader reliability, and industry benchmarks like SWE-bench or LiveCodeBench.
• Strong problem-solving skills and ability to translate complex technical concepts into actionable solutions.

Skills

• Python programming language.
• Experience with modern LLM stacks.
• Expertise in code model evaluations.
• Commercial instincts and experience in technical pre-sales, solutions architecture, or field engineering.

Benefits

• OTE up to $400k plus significant equity in a well-funded company sitting at the center of the global AI ecosystem.

Pay

• $260k-$400k OTE + Equity

Schedule

• Full-time