Mid-Level AI Engineer
At a glance
Mid-level AI Engineering role at Clera. San Francisco · full-time · $150,000–$180,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build agent-based systems that carry complex, multi-step work through fields such as healthcare, legal and fintech
- Run production retrieval pipelines, covering vector storage, embeddings and indexing
- Add agent coordination, tool use, memory and reasoning capabilities to products
- Create tests and safety checks that track model quality, catch regressions and support dependable use
- Deliver full-stack AI features and improve them using monitoring, customer feedback and product data
What you bring
- Two to eight years building and shipping software products, including substantial AI engineering in a product setting
- Hands-on deployment of LLM services, including prompt design, orchestration and tool integration
- Full-stack Python and TypeScript/React or equivalent skills, plus cloud and database experience
- Practical knowledge of retrieval-augmented generation, vector databases, embeddings and retrieval pipelines
- Experience testing, evaluating and monitoring production AI systems
Who this fits
This mid-level role suits an engineer who has shipped AI products and can own work end to end while partnering with product and design. The position is on-site in San Francisco, and visa sponsorship is unavailable.
From the employer
About the Role
Join a product engineering team building agentic systems that automate complex workflows across regulated and enterprise domains. You will ship production LLM services across the stack, with a focus on reliability, safety, and useful outcomes for customers.
What You'll Do
Build and maintain agentic systems for multi-step workflows across areas such as healthcare, legal, fintech, logistics, and compliance.
Own production RAG pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing.
Implement multi-agent orchestration, tool-calling, memory, and reasoning features.
Build evaluation and safety infrastructure to track model performance, identify regressions, and support reliable enterprise use.
Develop full-stack AI products, including APIs, data models, frontend and backend features, and production operations.
Use CI/CD, testing, monitoring, user feedback, and product telemetry to improve deployed systems.
Work with product and design partners to prioritize work and define success measures.
What We're Looking For
Two to eight years of software engineering experience delivering shipped user-facing or backend products, including substantive AI engineering experience in a product-focused setting.
Production experience deploying LLM-based services, including prompt design, orchestration, and tool integration.
Full-stack proficiency with Python and TypeScript/React or equivalent, along with cloud experience 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.
Experience designing API-driven, high-throughput systems and real-time product features.
Experience with agent or workflow frameworks and orchestration tools; familiarity with fine-tuning or multimodal models is also useful.
Background in multi-tenant or enterprise systems, or regulated industries such as healthcare, fintech, or legal.
End-to-end ownership, sound engineering judgment, and a collaborative, user-focused approach.
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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