AI Engineer (Mid-Level)

Clera

San Francisco, CA, United States13h ago

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Key details

Salary
$150K–$180K/yr
Location
San Francisco, CA, United States
Work style
Onsite
Level
Mid level
Job type
Full-time
Experience
2–8 yrs
Function
Data & ML
Focus area
AI / ML
Posted
13h ago

Skills

awscloud computingdata modelingembeddingsgcplanggraphllmmodel fine-tuningnosqlpythonragreactretrieval-augmented generationtest automationtypescriptvector databases

About the role

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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