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Mid-Level AI Engineer

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Mid-Level AI Engineer in USA

  • San Francisco, CA

Responsibilities

  • Build and maintain agentic systems that automate multi-step workflows across regulated and enterprise domains.
  • 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 for production AI systems.
  • Ship full-stack products by designing APIs and data models, writing frontend and backend code, and operating production systems.
  • Collaborate with product, design, and leadership to prioritize work and iterate using user feedback and telemetry.

Requirements

  • 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.

Benefits

  • Annual salary of $150,000 to $180,000 USD.
  • On-site work in San Francisco, California, United States.
  • Visa sponsorship is not available.

Salary: $150k - $180k/yr

Clera

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