Staff Engineer, AI Product
at Alphasenseindia
Bengaluru, senior, full time
posted 22 Sept 2026
- Vector databases
- Anthropic
- LLM
- Prompt engineering
- Microservices
- Infrastructure as code
- Agent frameworks
- Distributed systems
- CI/CD
- RAG
- OpenAI
- Kubernetes
About the role
AlphaSense is seeking an experienced engineering leader to transform how we build and operate AI-powered systems at scale. You'll join a team of brilliant engineers who've built cutting-edge AI applications, and your mission will be to bring world-class engineering practices that ensure these innovations run reliably for our enterprise customers.
This is a unique opportunity for a seasoned engineer who thrives on building robust platforms, mentoring talented teams, and establishing engineering excellence. You'll have significant autonomy to shape our technical architecture while working with frontier AI models and agentic systems that power market intelligence for the world's leading companies.
What you would do
- Architect for Scale: Design and implement distributed systems that power AI agents processing thousands of requests per hour, ensuring reliability, performance, and cost-efficiency
- Build Engineering Excellence: Establish comprehensive testing strategies, observability systems, and CI/CD pipelines that catch issues before customers do
- Lead Through Expertise: Mentor a team of smart, motivated engineers, sharing your experience in building production systems that don't break at 3 AM
- Drive Platform Evolution: Own the technical roadmap for our AI platform, making architectural decisions that will shape our systems for years to come
- Bridge AI and Engineering: Collaborate with ML engineers and researchers to productionize cutting-edge AI capabilities while maintaining system stability
What they are looking for
Required
- Significant hands-on experience in 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
Read from job-boards.greenhouse.io, last seen 1d ago.