Alphasense
Staff AI Platform Engineer
San Francisco, California, United States. Posted 13 months ago
The role
You will design and implement distributed systems for AI agents and establish engineering excellence through testing, observability, and CI/CD pipelines. You will mentor engineers and own the technical roadmap for the AI platform.
What you will do
- Design and implement distributed systems for AI agents
- Establish testing strategies, observability systems, and CI/CD pipelines
- Mentor a team of engineers
- Own the technical roadmap for the AI platform
- Collaborate with ML engineers and researchers to productionize AI capabilities
Required qualifications
- 7+ years building and operating distributed systems in production
- Track record of improving system reliability
- Deep expertise in microservices, containerization (Kubernetes), and infrastructure as code
- Experience leading technical initiatives and mentoring engineering teams
- Strong coding skills with ability to work across the stack
- Excellence in debugging production issues and implementing comprehensive observability
- History of making pragmatic trade-offs between perfect and shipped
Nice to have
- Experience with LLM applications, agent frameworks, or AI/ML infrastructure
- Familiarity with prompt engineering, RAG patterns, vector databases
- Background at high-growth companies or modern engineering cultures
- Experience with multi-model AI systems (OpenAI, Anthropic, Google, etc.)
Benefits
- Equity
- Generous benefits program
About the company
AlphaSense is an AI platform for market intelligence and workflow orchestration. The platform uses domain-specific AI and a content universe of over 500 million premium business documents.