Mid-Level AI Engineer

Responsibilities

• Design and maintain agentic systems for multi-step workflows across healthcare, legal, fintech, logistics, and compliance domains.
• Build and operate retrieval-augmented generation pipelines involving vector databases, embeddings, indexing, and domain-specific search.
• Implement multi-agent orchestration, tool calling, memory, and reasoning components.
• Develop evaluations, automated tests, safety measures, and monitoring for production performance and reliability.
• Ship full-stack features by designing APIs and data models, writing frontend and backend code, and supporting deployment and production operations.
• Partner with product and design to set priorities, define success measures, and iterate using user feedback and telemetry.

Requirements

• Two to eight years of software engineering experience delivering user-facing or backend products.
• Production 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 designing API-driven, high-throughput systems and real-time product features, with production testing and monitoring experience.
• Experience with agent or workflow frameworks and orchestration tools is useful.
• Background in multi-tenant enterprise systems or regulated industries is relevant.
• Familiarity with fine-tuning or multimodal models is a plus.

Benefits

• Annual salary of $150,000 to $180,000 USD.
• On-site work in San Francisco, California.
• Visa sponsorship is not available.