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Open nowPosted 10 hours ago

AI Engineer (Mid-Level)

Clera288 open roles

Pay
$180,000 – $400,000 a year
Where
San Francisco
Work mode
On site
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Your applicationOpen nowAI Engineer (Mid-Level)Clera · San Francisco

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The clock on this job

Early applications get read.

7.4% of postings close within 7 days. Measured by our own scanner across the market. Clera postings stay open a median of 1 days.

Share of postings closed within
  1. 1.5%1 day
  2. 3.5%3 days
  3. 7.4%7 days
  4. 13.2%14 days
  5. 34.5%30 days
This job: posted 10 hours ago

Clera median: 1 days open

The posting

ABOUT THE ROLE

This is a mid-level AI Engineer position on the core product team at a pre-seed AI startup, building agentic systems that automate complex, multi-step workflows across regulated and enterprise domains. You will work across the full stack to ship production LLM-based services, own reliability and safety infrastructure, and collaborate closely with founders and design to deliver measurable user impact.

WHAT YOU'LL DO

- Design, build, and maintain agentic systems that automate multi-step workflows across domains such as healthcare, legal, fintech, logistics, and compliance.

- 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 by designing APIs and data models, implementing 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

- 2 to 8 years of software engineering experience with a track record of shipping user-facing or backend products, ideally in a startup environment.

- Hands-on production experience deploying LLM-based services, including prompt design, orchestration, and tool integration.

- Full-stack proficiency in Python and TypeScript/React (or equivalent), plus experience with 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.

- Experience building automated tests, evaluations, and monitoring for AI systems to ensure production reliability beyond demos.

- Familiarity with agent or workflow frameworks such as LangGraph or CrewAI, and orchestration tools such as Temporal or Trigger.

- Background in multi-tenant or enterprise-ready systems, or experience in regulated industries such as healthcare, fintech, or legal.

- Experience designing API-driven, high-throughput systems and real-time product features.

- An ownership mindset: comfortable delivering end-to-end features from data model to deployment and monitoring.

COMPENSATION & BENEFITS

Salary range: $180,000 to $400,000 USD annually (inclusive of equity component). Visa sponsorship is not available for this role.

LOCATION

On-site in San Francisco, California, United States. Candidates should be able to work in-office or willing to relocate.

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