AlphaSense - Staff AI Platform Engineer

• 7+ years building and operating distributed systems in production • Track record of improving system reliability (taking services from frequent outages to 99.9%+ uptime) • Deep expertise in modern engineering practices: microservices, containerization (Kubernetes), 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 • Preferred: • 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.) • Impact You'll Have • Impact You'll Have • Within your first year, you'll transform how we build and operate software. You'll reduce incidents, establish testing and observability standards that become part of our DNA, and build platforms that enable other engineers to ship faster and safer. Most importantly, you'll elevate an entire team of engineers, sharing the expertise that only comes from years of building systems at scale. • For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below. • You may also be offered equity, and a generous benefits program.