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Consumer packaged goods like sauce, cookie, and lotion are used by every single human on the planet. However, developing those is insanely hard, manual, and complex. Turing solves this by purpose-built AI that helps to discover most optimal formulation, replacing 50-year old trial-and-error method. Your code impacts what 8 billion people eat daily.
Job Responsibility:
Own end-to-end development of AI-powered product features across backend, frontend, and deployment layers
Integrate LLMs, internal embeddings, and structured data models into usable product experiences
Translate ambiguous customer needs into clear UX + code
Ideate, plan, deliver high quality software to consistently exceed customer expectations
Support in defining engineering culture, standards, and roadmap
Collaborate tightly with our ML team to make outputs trustworthy, not just accurate
Requirements:
Have 3+ years of full-stack or backend-heavy engineering experience
Have LLM and/or ML integration experience (e.g., LangChain, vector DBs, prompt design, model outputs into product)
Have shipped real products — ideally in vertical SaaS, internal tools, ML/analytics platforms, or enterprise software
Can code, but also think in product — UX, value, users
Have founder experience or took extreme ownership in a startup environment
Want to work in-person with a small team to move fast and win together
US citizen/visa only
Based in The Bay Area
Willing to work six days per week
Excited about using codegen tools like Cursor, Windsurf, Claude Code, etc.
Comfortable as IC role
Comfortable with ambiguity and rapid context-switching
Like candor - receiving and giving direct, honest feedback
Do not need a well defined structure or career ladder
Nice to have:
Previous founder or founding engineer
Unusually obsessed with hard problems
Genuine curiosity about agentic product experiences
Excellent communication and candor
Self-motivated to solve bigger problems in the world