About this role
AlphaSense needs a seasoned technical leader to resolve reliability and scaling bottlenecks in their production AI systems as the platform expands to serve thousands of enterprise customers. Operating out of the Bengaluru office, the incoming engineer will transform how distributed architectures and agentic workflows are deployed, ensuring that high-throughput market intelligence tools remain dependable under heavy enterprise loads.
Working alongside a collaborative group of researchers and software developers, this person will design scalable infrastructure, mentor engineering talent, and establish rigorous testing and observability standards. The ideal candidate brings extensive background in building resilient microservices, a history of guiding technical roadmaps, and the capability to make pragmatic choices between velocity and architectural perfection.
What you will do
- Design and implement distributed systems that power AI agents processing thousands of requests per hour while maintaining cost-efficiency.
- Establish comprehensive testing strategies, observability systems, and CI/CD pipelines to catch production issues early.
- Mentor a team of engineers by sharing practical experience in building reliable production systems.
- Own the technical roadmap for the AI platform and make architectural decisions that shape future infrastructure.
- Collaborate with machine learning engineers and researchers to productionize advanced AI capabilities.
What you need
- Bring over eight years of hands-on experience building and operating distributed systems in production environments.
- Demonstrate a proven track record of improving system reliability and achieving high uptime metrics.
- Possess deep expertise in modern engineering practices including microservices, containerization, Kubernetes, and infrastructure as code.
- Show experience leading technical initiatives and mentoring engineering colleagues.
- Maintain strong coding skills with the ability to navigate across the full technology stack.
- Exhibit excellence in debugging production issues and implementing comprehensive observability measures.
Nice to have
- Experience with LLM applications, agent frameworks, or AI/ML infrastructure
- Familiarity with prompt engineering, RAG patterns, and vector databases
- Background at high-growth companies or modern engineering cultures
- Experience with multi-model AI systems from providers such as OpenAI, Anthropic, and Google
Skills and tech stack
Questions candidates ask
What is the primary mission of this role?
The mission is to bring engineering practices that ensure AI innovations run reliably for enterprise customers and to transform how AlphaSense builds and operates AI-powered systems at scale.
Where is the position located?
The role is based in Bengaluru, as part of AlphaSense's global footprint that includes offices across the U.S., U.K., Finland, India, Singapore, Canada, and Ireland.
What kind of systems will this engineer architect?
The hire will design and implement distributed systems that power AI agents processing thousands of requests per hour while ensuring reliability, performance, and cost-efficiency.