Staff Engineer, AI Product

About the role

AlphaSense is seeking an experienced engineering leader to transform how we build and operate AI‑powered systems at scale. You will lead a team of engineers, shape technical architecture, and work with frontier AI models to deliver reliable market‑intelligence platforms for enterprise customers.

Key responsibilities

• Design and implement distributed systems that handle thousands of AI agent requests per hour, ensuring reliability, performance, and cost‑efficiency.
• Establish testing strategies, observability systems, and CI/CD pipelines to catch issues before they affect customers.
• Mentor and lead a team of engineers, sharing expertise in building production systems.
• Own the technical roadmap for the AI platform and make architectural decisions for long‑term scalability.
• Collaborate with ML engineers and researchers to productionize cutting‑edge AI capabilities while maintaining system stability.

Required profile

• 8+ years building and operating distributed systems in production.
• Proven track record of improving system reliability to 99.9%+ uptime.
• Deep expertise in microservices, containerization (Kubernetes), and infrastructure as code.
• Experience leading technical initiatives and mentoring engineering teams.
• Strong coding skills across the stack and excellence in debugging production issues.

Required skills

• Microservices architecture
• Kubernetes
• Infrastructure as code (e.g., Terraform, CloudFormation)
• CI/CD pipelines
• Observability tools (e.g., Prometheus, Grafana, logging)
• LLM applications, agent frameworks, or AI/ML infrastructure (preferred)
• Prompt engineering, RAG patterns, vector databases (preferred)