Mid-Level AI Engineer
- Location
- San Francisco
- Work mode
- On-site
- Employment type
- Full-time
About the job
ABOUT THE ROLE
Join a core product team building agentic systems that automate complex workflows across regulated and enterprise domains. You will ship production LLM-based services and help make them reliable, safe, and useful for customers.
WHAT YOU'LL DO
- Design and maintain agentic systems for multi-step workflows across areas such as healthcare, legal, fintech, logistics, and compliance.
- Build production retrieval-augmented generation pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing.
- Implement multi-agent orchestration, tool calling, memory, and reasoning components.
- Develop evaluation and safety tools to measure model performance, detect regressions, and support reliable production use.
- Deliver full-stack AI features, from APIs and data models through frontend and backend implementation, testing, deployment, and monitoring.
- Work with product and design partners to set priorities and success metrics, then improve features using user feedback and telemetry.
WHAT WE'RE LOOKING FOR
- Two to eight years of software engineering experience delivering user-facing or backend products, including production engineering experience in a product-focused environment.
- Practical experience deploying LLM services in production, including prompt design, orchestration, and tool integration.
- Proficiency with Python and TypeScript/React or equivalent, plus cloud platforms 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, as well as API-driven, high-throughput systems and real-time features.
- Familiarity with agent or workflow frameworks such as LangGraph or CrewAI, and orchestration tools such as Temporal or Trigger.
- Experience with multi-tenant or enterprise systems, or regulated domains such as healthcare, fintech, or legal; familiarity with fine-tuning or multimodal models is also useful.
- A completed university degree and a track record of owning features from data model through deployment and monitoring.
COMPENSATION & BENEFITS
Base salary: $150,000 to $180,000 annually. Visa sponsorship is not available.
LOCATION
On-site in San Francisco, California, United States.
From Clera's careers page (Ashby), checked 29 Oct 2026.
How to apply
- Select Apply on getclera.com. It opens Clera's own application form in a new tab, run on Ashby.
- Fill in the form and upload your résumé there. Jobiwork never sees your application.
- Clera will reply to you directly. No real employer asks you for money to apply.
Posted 23 Oct 2026 · checked 29 Oct 2026 · Report this job