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Open nowPosted 4 hours ago

Mid-Level AI Engineer

Clera303 open roles

Where
San Francisco
Work mode
On site
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Your applicationOpen nowMid-Level AI EngineerClera · San Francisco

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The clock on this job

Early applications get read.

12.9% 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. 2.2%1 day
  2. 4.7%3 days
  3. 12.9%7 days
  4. 21.0%14 days
  5. 35.6%30 days
  6. 58.5%60 days
This job: posted 4 hours ago

Clera median: 6 days open

The posting

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.

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