AlphaSense
Staff AI Platform Engineer
$203K–$304K
New York, New York, United States +1 · Staff · Full-time · Posted Oct 14, 2025
- Location
- New York, New York, United States
San Francisco, California, United States - Experience
- 7+ years building and operating distributed systems in production.
About the job
Leads the architecture and operation of reliable, scalable AI platforms and distributed systems, while strengthening engineering practices and mentoring engineers.
What you'll do
- Design and implement distributed systems for AI agents, prioritizing reliability, performance, and cost-efficiency.
- Establish testing, observability, and CI/CD practices; own the AI platform technical roadmap.
- Mentor engineers and collaborate with ML engineers and researchers to productionize AI capabilities.
What they ask for
- Track record improving system reliability, including taking services to 99.9%+ uptime.
- Expertise in microservices, Kubernetes, and infrastructure as code.
- Experience leading technical initiatives and mentoring engineering teams.
- Strong coding, production debugging, and observability skills.
Nice to have
- Experience with LLM applications, agent frameworks, or AI/ML infrastructure; familiarity with prompt engineering, RAG patterns, or vector databases.
- Experience with multi-model AI systems (OpenAI, Anthropic, Google, etc.) or high-growth companies.
Pay
$203,000 — $304,000 USD (base salary)
Tools
Kubernetes, OpenAI, Anthropic, Google
AI focus
Productionize AI capabilities and operate platforms for AI agents and multi-model AI systems.
Model-written summary · the original posting is authoritative