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.
Senior AI Solutions Engineer at Turing
Turing is hiring a founding Senior AI Solutions Engineer to bridge the gap between frontier AI research and commercial impact by building the code-generation datasets and evaluations powering the next generation of AGI. Working directly with researchers at labs like OpenAI and Anthropic, you will define the field engineering playbook and lead technical discovery for high-stakes post-training projects while earning up to $400k OTE plus equity in a role that defines the infrastructure of intelligence.
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Location
San Francisco, United States
Compensation
$260k-$400k OTE + Equity
Company
Turing
Role overview
Frontier AI400 employees
Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing develops large-scale reinforcement learning environments and data generation systems that train multimodal agents to improve model performance in coding, real-world economically valuable tasks, and advanced STEM reasoning. Based in San Francisco, California, Turing operates as a research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. The company supports customers by accelerating frontier research with high-quality data and advanced training pipelines, and by applying its expertise to help enterprises transform AI from proof of concept into proprietary intelligence systems that deliver practical impact.
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.
Who this is a fit for
- 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.
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.
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