# Mid-Level AI Engineer at Clera

Mid-Level AI Engineer at Clera in San Francisco. On-site, full-time, paying $150k–$180k. Posted October 31, 2026.

- Company: Clera
- Location: San Francisco
- Workplace: On-site
- Job type: Full-time
- Pay: $150k–$180k
- Posted: 2026-10-31
- Apply: https://jobs.ashbyhq.com/clera/99b60666-ad92-452a-8024-3d9209fd1031/application
- Source: https://jobmagic.ai/jobs/mid-level-ai-engineer-clera-ymccbd

## Requirements

- 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.

## Description

### 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.