Mid-Level AI Engineer

About the Role

What You'll Do

What We're Looking For

Compensation & Benefits

Location

• On-site in San Francisco, California, United States.

Qualifications

• 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.

Responsibilities

• 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.
• 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.
• Base salary: $150,000 to $180,000 annually. Visa sponsorship is not available.
• On-site in San Francisco, California, United States.