AI Engineer
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Build production AI systems for enterprise workflows in healthcare, legal, fintech, and compliance domains. Design agentic systems, RAG pipelines, and multi-agent orchestration while shipping full-stack features across frontend, backend, and deployment. Two to eight years of software engineering experience required, with production LLM deployment, Python, TypeScript or React, and cloud platforms (AWS/GCP). On-site in San Francisco; $150,000–$180,000 annually.
Written from this posting by Neural Jobs AI. The full description is below.
Join the core product team at an AI recruiting technology company to build production AI systems that automate complex workflows. You will work across the stack to deliver reliable, user-focused products for enterprise and regulated domains.
Design and maintain agentic systems for multi-step workflows across areas such as healthcare, legal, fintech, logistics, and compliance.
Build and operate retrieval-augmented generation pipelines, including 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 to track performance and reliability in production.
Ship full-stack features by designing APIs and data models, writing frontend and backend code, and supporting deployment, CI/CD, and production operations.
Partner with product and design to set priorities, define success measures, and iterate using user feedback and telemetry.
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, along with production testing and monitoring.
Experience with agent or workflow frameworks and orchestration tools is useful. Background in multi-tenant enterprise systems or regulated industries is also relevant.
Familiarity with fine-tuning or multimodal models is a plus.
Annual salary: $150,000 to $180,000 USD. Visa sponsorship is not available.
On-site in San Francisco, California, United States.
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103 more AI Engineer roles in San Francisco
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