AI Engineer (Mid-Level)
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 and run agents that handle complex, multi-step work across regulated and enterprise settings
- Create retrieval systems using vector stores, embeddings, indexing and searches tailored to specific domains
- Develop agent coordination, tool use, memory and reasoning, then test results and catch regressions
- Ship AI product features across APIs, data models, frontend, backend, deployment and ongoing monitoring
- Use feedback and usage data with product and design partners to set priorities and improve features
What you bring
- At least two years of software engineering work shipping user-facing or backend products
- Hands-on experience deploying LLM services with prompts, orchestration and tool integrations
- Proficiency in Python and TypeScript/React or equivalent, plus cloud platforms and databases
- 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, full-time role suits an engineer who has shipped AI products and can work across the stack. You’ll work on-site in San Francisco. Visa sponsorship is unavailable.
From the employer
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.