Staff AI Platform Engineer

The role

You will design and implement distributed systems that power AI agents. You will establish engineering excellence through testing, observability, and CI/CD pipelines while mentoring engineers and owning 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.