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COMPANYROLEPAYAGESTATE
APPLEDirector of Software Engineering, Comms Apps Teams · Cupertino, California$311k–$497k65dQUEUEDAMAZONDirector, Software Engineering - DC Security Systems, AWS Infra. Security · Seattle, Washington$264k–$350k94dQUEUEDGOOGLESenior Director, Product Management, Chrome Developer and Ecosystem · Mountain View, CA$336k–$467k10dQUEUEDMETASoftware Engineer, Data Infrastructure (Technical Leadership) · Menlo Park, CA$347k–$403k73dQUEUEDANTHROPICResearch Engineer, RL Scaling Science · London$502k–$857k138dQUEUEDY COMBINATORInvestment Associate & Product Engineer · San Francisco Bay Area$250k–$500k303dQUEUEDCLERAAI Engineer (Mid-Level) · San Francisco, California$180k–$400k157dQUEUEDNETFLIXSenior Software Engineer (L5) - Personalization Data · Remote$388k–$619k9dQUEUEDOPENART AISenior/Staff Software Engineer, Agent · San Carlos, California $500k–$600k58dQUEUEDSWORDHead of Product, Pulse · Remote$648k–$834k58dQUEUED
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CLERA · 157D
AI Engineer (Mid-Level)
PAY
$180k–$400k USD / year · equity
WHERE
San Francisco, California · onsite
ABOUT THE ROLE Join a fast-moving, pre-seed-backed AI startup building the next generation of agentic systems that automate complex, multi-step workflows across regulated and enterprise domains — including healthcare, legal, fintech, logistics, and compliance. As a mid-level AI Engineer on the core product team, you'll own production LLM-based services end-to-end, collaborate closely with founders and product, and ship features that deliver measurable impact for real users. WHAT YOU'LL DO - Design, build, and maintain agentic systems that automate complex, multi-step workflows across regulated industries. - Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing for domain-specific search at scale. - Implement multi-agent orchestration, tool-calling, memory, and reasoning components to deliver robust AI-driven user experiences. - Develop evaluation and safety infrastructure to measure model performance, surface regressions, and enforce enterprise-level trust and reliability. - Ship full-stack AI products from MVP to enterprise-grade — designing APIs and data models, writing frontend and backend code, and operating production systems with CI/CD, monitoring, and testing. - Collaborate with founders, product, and design to prioritize work, define success metrics, and iterate based on user feedback and telemetry. WHAT WE'RE LOOKING FOR Must-haves: - 2–8 years of software engineering experience with demonstrated delivery of shipped user-facing or backend products. - Practical experience deploying LLMs or LLM-based services in production, including prompt design, orchestration, and tool integration. - Proficiency across the stack: Python plus TypeScript/React (or equivalent), cloud platforms (AWS or GCP), and relational or NoSQL databases. - Working knowledge of RAG patterns, vector databases, embeddings, and retrieval pipelines, with sound judgment on when to apply each approach. - Experience building automated tests, evaluations, and monitoring for AI systems to ensure reliability beyond demos. - Experience designing API-driven, high-throughput systems and real-time product features. Nice-to-haves: - Experience with agent or workflow frameworks (e.g., LangGraph, CrewAI) and orchestration tools (e.g., Temporal, Trigger). - Familiarity with fine-tuning, parameter-efficient tuning, or multi-modal model integration. - Background building multi-tenant or enterprise-ready systems, or prior experience in regulated industries such as healthcare, fintech, or legal. COMPENSATION & BENEFITS - Salary: $180,000 – $400,000 USD annually (reflecting a wide band across base and equity depending on experience). - Early-stage equity in a venture-backed startup.