Senior AI Solutions Engineer (Field Engineering)

Company Description

Market-leading AI training unicorn providing expert-human datasets to frontier labs like OpenAI and Anthropic

Job Description

As the founding Field Engineer for the Software Engineering domain, you will partner with frontier AI labs to architect custom expert-human datasets and code-generation benchmarks. You will bridge the gap between GTM and R&D, building technical demos, scoping agentic evaluations, and proving the efficacy of training data for next-generation LLMs.

Location

San Francisco, USA

Why this role is remarkable

• Sit at the epicenter of the AI arms race by selling critical training data and evaluation infrastructure to the world's most advanced frontier research labs.
• Ownership of a founding field engineering function where you define the playbook, demo library, and technical qualification standards from scratch.
• Highly lucrative compensation package with OTE up to $400k and significant equity in a high-growth category leader with massive market traction.

What You Will Do

• Lead technical discovery for qualified SWE opportunities, translating research lab needs into scoped datasets, benchmarks, and managed talent deliverables.
• Build high-fidelity prototypes and working agentic scaffolds in Python to prove technical approaches for code-generation and evaluation tasks before contract.
• Manage paid proof-of-concepts (POCs) from kick-off to scale-up, designing success criteria and measurement plans that demonstrate superior model performance gains.

The ideal candidate

• 5+ years of software or ML engineering experience with deep production-level expertise in code-generation, developer tooling, or agentic systems.
• Proficiency in Python and modern LLM tooling, with the ability to build, grade, and evaluate complex code benchmarks like SWE-bench.
• Strong commercial instinct and communication skills, capable of producing technical scoping documents that satisfy PhD-level researchers at top-tier labs.