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Clera · Posted 7d ago
Mid-Level AI Engineer
- Location
- 🇺🇸 San Francisco, United States
- Contract
- Full-time
- Role
- ML engineering
- Source
- Employer’s own job board (Ashby)
Stack
- LangChain
- LLM
- Vector DB
- Python
- TypeScript
- AWS
- GCP
The posting
ABOUT THE ROLE
Join a core product team building agentic systems that automate complex workflows across regulated and enterprise domains. You will ship production LLM-based services and help make them reliable, safe, and useful for customers.
WHAT YOU'LL DO
- Design and maintain agentic systems for multi-step workflows across areas such as healthcare, legal, fintech, logistics, and compliance.
- Build production retrieval-augmented generation pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing.
- Implement multi-agent orchestration, tool calling, memory, and reasoning components.
- Develop evaluation and safety tools to measure model performance, detect regressions, and support reliable production use.
- Deliver full-stack AI features, from APIs and data models through frontend and backend implementation, testing, deployment, and monitoring.
- Work with product and design partners to set priorities and success metrics, then improve features using user feedback and telemetry.
WHAT WE'RE LOOKING FOR
- Two to eight years of software engineering experience delivering user-facing or backend products, including production engineering experience in a product-focused environment.
- Practical experience deploying LLM services in production, 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, or regulated domains such as healthcare, fintech, or legal; familiarity with fine-tuning or multimodal models is also useful.
- A completed university degree and a track record of owning features from data model through deployment and monitoring.
COMPENSATION & BENEFITS
Base salary: $150,000 to $180,000 annually. Visa sponsorship is not available.
LOCATION
On-site in San Francisco, California, United States.