Senior AI Solutions Engineer, Software Engineering
About The Position
Turing is seeking a Senior AI Solutions Engineer to join their Field Engineering team. This role is crucial for supporting frontier AI labs in the software engineering domain by selling and demoing custom and off-the-shelf human expert datasets. The ideal candidate will be the first technical partner to Turing's Research Partners, understanding their needs in areas like code generation, agentic software engineering, and SWE evaluation. This is a founding role where the individual will build the foundational playbooks, demo library, and qualification processes. The position offers a unique opportunity to work at the cutting edge of AI research and have a direct impact on the development of AGI.
Requirements
- 5+ years in software or ML engineering with production experience on code-generation, code-understanding, or developer-tooling systems.
- Hands-on fluency in Python and modern LLM tooling.
- Comfort reading and writing across at least one other major language (TypeScript, Go, Rust, or Java).
- Experience designing or working with evaluations for code models (benchmarks, rubric design, grader reliability, eval construction).
- Experience with large codebases, agentic SWE systems, or developer-facing AI products.
- High written communication skills, capable of producing scoping documents accepted by frontier lab engineers.
- Commercial instinct, willingness to be in customer meetings, ability to read a room, and a desire to be measured on revenue.
Nice To Haves
- Prior experience at a frontier AI lab, AI infrastructure company, or developer-tools company shipping to AI customers.
- Experience with SWE benchmark construction (e.g., SWE-bench, LiveCodeBench, or equivalents).
- Background in pre-sales, solutions architecture, or technical consulting.
Responsibilities
- Lead technical conversations on qualified SWE opportunities, partnering with AI researchers and research leads to understand their training and evaluation needs.
- Translate lab needs into scoped Turing deliverables, including custom human expert data, off-the-shelf datasets, and managed talent.
- Author technical proposals that are acceptable to AI researchers and executable by the Production Engineering team.
- Build sample evaluation tasks, reference dataset slices, graded trajectories, and working agentic scaffolds, writing actual code to demonstrate functionality.
- Own paid pilot projects from kick-off to scale-up decision, designing measurement plans and defining success criteria.
- Act as the pre-sales channel between Go-To-Market (GTM) and R&D for SWE, pre-digesting technical asks and maintaining a predictable collaboration cadence.
- Codify successful processes by documenting discovery scripts, qualification criteria, demo artifacts, and objection-handling patterns, and owning the SWE section of the Field Engineering knowledge base.
Benefits
- Competitive compensation (OTE $260–320K for Senior, $325–400K for Staff)
- 75/25 base/variable split
- Equity
- Work directly with the world's leading AI labs.
- Real impact on the path to AGI.
- Founding-team leverage; set the standards.
- Direct-to-research customers.
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Top talent from Meta, Google, LinkedIn etc., and deep startup experience)
- Flexible working hours
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
