Source-listed Job

Mid-Level AI Engineer

ABOUT THE ROLE

Job Source description available
Clera San Francisco Source published Oct 10, 2026 Source retrieved Oct 10, 2026
Source: Clera (ashby) · A retrieval date records when our system last obtained the source record. It does not guarantee the vacancy is still open or that every detail has been independently checked.
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EmploymentFull-time

Overview

ABOUT THE ROLE

Full job 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.

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