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ClosedPosted 8 days agoWe saw it 97 min after it went up

AI Engineer (Mid-Level)

Clera315 open roles

Pay
$150,000 – $180,000 a year
Where
San Francisco
Work mode
On site

This posting closed on 2026-10-22. 315 other Clera postings are live.

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Still open, like this oneLive
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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Clera postings stay open a median of 6 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 8 days ago

Clera median: 6 days open

The posting

ABOUT THE ROLE

Join a core product team building agentic AI systems that automate complex, multi-step workflows across regulated and enterprise domains. You will ship production LLM services and help make them reliable, safe, and useful for customers.

WHAT YOU'LL DO

- Design and maintain agentic systems for workflows across healthcare, legal, fintech, logistics, and compliance.

- Build and operate RAG pipelines, including vector databases, embeddings, indexing, and domain-specific search.

- Develop multi-agent orchestration, tool-calling, memory, and reasoning components.

- Create evaluation, testing, and safety infrastructure to measure performance and catch regressions.

- Deliver full-stack AI features, from APIs and data models to frontend and backend code, deployment, monitoring, and ongoing operations.

- Work with product and design partners to prioritize work, define success measures, and improve features using user feedback and telemetry.

WHAT WE'RE LOOKING FOR

- Two to eight years of software engineering experience building and shipping user-facing or backend products, preferably at a startup or product-focused company.

- Professional experience deploying LLM-based services, 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, regulated industries, fine-tuning, or multimodal models is useful.

COMPENSATION & BENEFITS

Base salary: $150,000 to $180,000 annually. Visa sponsorship is not available.

LOCATION

On-site in San Francisco, California, United States.

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