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Mid-Level AI Engineer

On-site
CleraSan Francisco, CA, US4 hours agoWebsite
Fresh
Full-time
Engineering

Compensation

Salary undisclosed
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Description

About the Role

Join the core product team at an early-stage AI software company, building agentic systems that automate complex workflows across regulated and enterprise domains. You will ship production AI services and full-stack features designed for reliability, safety, and measurable user impact.

What You'll Do

  • Build and maintain agentic systems that automate multi-step workflows across healthcare, legal, fintech, logistics, and compliance.

  • Own RAG pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing.

  • Implement multi-agent orchestration, tool-calling, memory, and reasoning capabilities.

  • Develop evaluation, testing, safety, and monitoring systems to measure performance and catch regressions.

  • Ship full-stack products by designing APIs and data models, writing frontend and backend code, and operating production systems.

  • Collaborate with product, design, and company leadership to prioritize work and iterate based on user feedback and telemetry.

What We're Looking For

  • Two to eight years of software engineering experience delivering shipped user-facing or backend products, including professional AI engineering experience beyond academic research.

  • Production experience deploying LLM 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 designing API-driven, high-throughput systems and real-time product features.

  • Experience building automated tests, evaluations, and monitoring for production AI systems.

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

  • Enterprise or multi-tenant systems experience, or experience in regulated industries, is valuable.

Compensation & Benefits

Annual salary: $150,000 to $180,000 USD. Visa sponsorship is not available.

Location

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

Stack

LLMsPythonEmbeddingsLangGraphAWSGCPTypeScriptReactCrewAIAgentic AIVector DatabasesRAG
Posted
Oct 10, 2026
Last seen
Oct 10, 2026
First seen
Oct 10, 2026

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