Source-listed Job

AI Engineer (Mid-Level)

ABOUT THE ROLE

Job Source description available
Clera San Francisco Source published Oct 16, 2026 Source retrieved Oct 16, 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 a core product team building agentic AI systems that automate complex, multi-step workflows across regulated and enterprise domains. You will ship production LLM services and help make them reliable, safe, and useful for customers. WHAT YOU'LL DO

  • Design and maintain agentic systems for workflows across healthcare, legal, fintech, logistics, and compliance.
  • Build and operate RAG pipelines, including vector databases, embeddings, indexing, and domain-specific search.
  • Develop multi-agent orchestration, tool-calling, memory, and reasoning components.
  • Create evaluation, testing, and safety infrastructure to measure performance and catch regressions.
  • Deliver full-stack AI features, from APIs and data models to frontend and backend code, deployment, monitoring, and ongoing operations.
  • Work with product and design partners to prioritize work, define success measures, and improve features using user feedback and telemetry. WHAT WE'RE LOOKING FOR
  • Two to eight years of software engineering experience building and shipping user-facing or backend products, preferably at a startup or product-focused company.
  • Professional experience deploying LLM-based 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 building automated tests, evaluations, and monitoring for production AI systems, as well as API-driven, high-throughput systems and real-time features.
  • Familiarity with agent or workflow frameworks such as LangGraph or CrewAI, and orchestration tools such as Temporal or Trigger.
  • Experience with multi-tenant or enterprise systems, regulated industries, fine-tuning, or multimodal models is useful. 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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