AlphaSense
Staff AI Platform Engineer
$203K–$304K
San Francisco, California, United States +1 · Staff · Full-time · Posted Oct 15, 2025
- Location
- San Francisco, California, United States
New York, New York, United States - Experience
- 7+ years building and operating distributed systems in production.
About the job
Architect and operate reliable, scalable AI platform systems, while setting engineering practices and mentoring engineers.
What you'll do
- Design distributed systems for AI agents, emphasizing reliability, performance, and cost-efficiency.
- Establish testing, observability, and CI/CD practices, and own the AI platform’s technical roadmap.
- Mentor engineers and collaborate with ML engineers and researchers to productionize AI capabilities.
What they ask for
- 7+ years building and operating distributed systems in production.
- Track record of improving system reliability, including taking services to 99.9%+ uptime.
- Expertise in microservices, containerization (Kubernetes), and infrastructure as code.
- Experience leading technical initiatives and mentoring engineering teams.
Nice to have
- Experience with LLM applications, agent frameworks, or AI/ML infrastructure.
- Familiarity with prompt engineering, RAG patterns, vector databases, or multi-model AI systems.
Pay
$203,000 — $304,000 USD (base salary)
Tools
Kubernetes, OpenAI, Anthropic, Google
AI focus
Productionize AI capabilities and build platforms for AI agents and agentic systems; preferred experience includes LLM applications, agent frameworks, and AI/ML infrastructure.
Model-written summary · the original posting is authoritative