3 days ago
San Francisco, CA, USAMid Level
Base Salary
$150k - $180k/yr
Responsibilities
- Design and maintain agentic systems for multi-step enterprise and regulated-industry workflows.
- Build and operate retrieval-augmented generation pipelines with vector databases, embeddings, indexing, and domain-specific search.
- Develop multi-agent orchestration, tool-calling, memory, and reasoning components.
- Create evaluation and safety infrastructure to monitor model performance, identify regressions, and support reliable enterprise use.
- Ship full-stack AI products by designing APIs and data models, implementing frontend and backend code, and operating production systems.
- Support CI/CD, monitoring, and testing while collaborating with product and design using user feedback and telemetry.
Requirements
- Two to eight years of software engineering experience delivering production user-facing or backend products.
- Production AI/ML engineering experience including LLM service deployment, prompt design, orchestration, and tool integration.
- Full-stack proficiency with Python and TypeScript/React or equivalent.
- Cloud experience with 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.
- Familiarity with agent or workflow frameworks, orchestration tools, fine-tuning, or multimodal models is useful.
- Experience with multi-tenant or enterprise systems or regulated industries such as healthcare, fintech, or legal is valued.
Benefits
- On-site role in San Francisco, California.
- Base salary is $150,000 to $180,000 annually.
- Visa sponsorship is not available.