Full-time | Hybrid (San Francisco) | $150k–$300k + Equity | Series A Startup A fast-growing AI infrastructure startup is looking for a skilled AI Engineer to help productionize core technology that ensures safe, trustworthy, and reliable outputs from modern LLMs and AI agents. This is a high-impact role for an engineer who thrives at the intersection of cutting-edge research and real-world reliability, with opportunities to directly influence platform architecture, customer outcomes, and enterprise AI adoption. About the Role You’ll join a team building APIs and developer tools used to detect and remediate hallucinations, failures, and inaccuracies in AI agents. The core challenge: ensuring generative AI can be used safely and reliably in high-stakes enterprise environments. This is not just about prompting better — it’s about building system-level solutions that monitor and correct model behavior using principles grounded in production ML. What You’ll Do Build systems to evaluate, detect, and remediate incorrect outputs from generative AI models Develop backend infrastructure, APIs, and orchestration logic for real-time and batch workflows Collaborate with researchers and product engineers to bring novel AI reliability tech into production Work across the stack (Python, FastAPI, Postgres, AWS) to ship secure, performant services Contribute to architecture decisions and system design as a core member of a small, high-ownership team Ideal Background 3–5 years of experience in production software engineering , ideally in AI, ML infra, or backend development Proficient in Python and modern data/infra tools (FastAPI, Postgres, Docker, AWS/GCP) Familiarity with open-source AI frameworks (Hugging Face, OpenAI API, LlamaIndex, LangGraph, etc.) Bonus: Experience building LLM apps, reliability or evaluation tools, or data-centric AI systems You care about system robustness, observability, and performance — not just model metrics Able to thrive in a hybrid, high-trust environment with strong ownership Work Setup & Location Hybrid role (3 days/week) in-office in San Francisco (not ideal for those commuting from South Bay) Relocation bonus and visa sponsorship available for qualified candidates Small, tight-knit team with deep backgrounds in AI/ML research and top tech companies Salary : $150,000 – $300,000 based on experience Equity : Standard Series A package Benefits : Full medical/dental/vision, relocation support, flexible PTO, and opportunities to contribute to OSS About the Company This startup is solving one of AI’s hardest problems: ensuring reliability in the wild . Spun out of years of MIT research and trusted by global companies, they’ve built a widely adopted open-source framework for data quality and now offer APIs and tools to automate trust in AI outputs . With 10k+ GitHub stars and $30M in funding, they’re shaping the standards for responsible AI in production.

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