Staff Engineer, AI Product

AlphaSense India; Bengaluru; On-site; INR 350,000 - 900,000; Full time

Job summary

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 and shape the technical architecture to run reliably for enterprise customers.

You’ll establish robust testing, observability, and CI/CD practices, mentor engineers, and drive the platform roadmap while collaborating with ML researchers to productionize cutting-edge AI capabilities with system stability.

Qualifications

• 8+ years building and operating distributed systems in production.
• Track record of improving system reliability to 99.9%+ uptime.
• Experience with modern engineering practices: microservices, containerization, infrastructure as code, observability.

Responsibilities

• Architect for scale by designing distributed systems that power AI‑powered workloads.
• Build engineering excellence with testing strategies, observability systems, and CI/CD pipelines.
• Lead and mentor a team of engineers, sharing practical experience building production systems.
• Own the technical roadmap for the AI platform and shape long‑term architecture decisions.
• Collaborate with ML engineers to productionize AI capabilities while maintaining system stability.

Skills

Distributed systems

Microservices

Containerization

Infrastructure as Code

Observability

Full stack development

Tools

Kubernetes

CI/CD pipelines

Observability tools

Job description

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision‑making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI‑driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

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’ll 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 We’re Looking For

Required:

• 8+ 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

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.

AlphaSense is an equal‑opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non‑merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.