Mid-Level AI Engineer
CleraOn-site - San Francisco, California, United StatesPosted 2026-10-31
- This listing's locations
- On-site - San Francisco, California, United States
- Employment
- Full-time
- Workplace
- On site
- Compensation
- 150000–180000 per year
Department: Engineering
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About the Role
Join a product engineering team building agentic systems that automate complex workflows across regulated and enterprise domains. You will ship production LLM services across the stack, with a focus on reliability, safety, and useful outcomes for customers.
What You'll Do
- Build and maintain agentic systems for multi-step workflows across areas such as healthcare, legal, fintech, logistics, and compliance.
- Own production RAG pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing.
- Implement multi-agent orchestration, tool-calling, memory, and reasoning features.
- Build evaluation and safety infrastructure to track model performance, identify regressions, and support reliable enterprise use.
- Develop full-stack AI products, including APIs, data models, frontend and backend features, and production operations.
- Use CI/CD, testing, monitoring, user feedback, and product telemetry to improve deployed systems.
- Work with product and design partners to prioritize work and define success measures.
What We're Looking For
- Two to eight years of software engineering experience delivering shipped user-facing or backend products, including substantive AI engineering experience in a product-focused setting.
- Production experience deploying LLM-based services, including prompt design, orchestration, and tool integration.
- Full-stack proficiency with Python and TypeScript/React or equivalent, along with cloud experience such as AWS or GCP and relational or NoSQL databases.
- Working knowledge of RAG, vector databases, embeddings, and retrieval pipelines.
- Experience building automated tests, evaluations, and monitoring for production AI systems.
- Experience designing API-driven, high-throughput systems and real-time product features.
- Experience with agent or workflow frameworks and orchestration tools; familiarity with fine-tuning or multimodal models is also useful.
- Background in multi-tenant or enterprise systems, or regulated industries such as healthcare, fintech, or legal.
- End-to-end ownership, sound engineering judgment, and a collaborative, user-focused approach.
Compensation & Benefits
Base salary: $150,000 to $180,000 annually. Visa sponsorship is not available.
Location
On-site in San Francisco, California, United States.