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Senior Al Engineer

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Onsite

Senior Al Engineer

Cornerstone OnDemand, Inc.

Senior Al Engineer

Skills

SQL QueriesDockerReactTypescriptPythonGolangData ScienceJavaRedisSnowflakeData AnalysisAIAWSKubernetes

14 days ago

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Important information


Location:

Telangana, India

Work mode:

Onsite

Published on:

15 October 2026

What they need


We're looking for a

Senior Al Engineer

This role is Office Based, Hyderabad Office

Senior AI Engineer

Cornerstone OnDemand is looking for a motivated AI Engineer to join our Workforce Intelligence team. You'll work on an AI-powered assistant that helps managers and HR leaders understand their teams — surfacing skill gaps, career pathways, and organizational insights through natural-language conversations backed by LLMs and real-time analytics.

In this role, you'll build and ship features end-to-end across our backend and React/TypeScript frontend, working closely with data science, product, and platform engineering.

In this role, you will...

  • Build and own backend features — design, implementation, testing, code review, and production monitoring.
  • Work on our LLM integration layer: streaming AI responses, prompt engineering, structured output parsing, and response validation.
  • Contribute to our RAG and semantic search architecture — hybrid vector search, caching strategies, and data ingestion pipelines.
  • Build rich, interactive frontend experiences in React/TypeScript that render AI-generated content in real time.
  • Improve our NL-to-SQL pipeline that translates natural-language questions into validated analytics queries.
  • Participate in architecture discussions, technical design reviews, and cross-team collaborations.

You've got what it takes if you have...

  • 3–5 years of experience building production backend services in any major language (Java, Python, Go, etc.).
  • Working experience with TypeScript and React, or a strong willingness to work full-stack.
  • Solid understanding of REST API design, distributed systems, and service-oriented architecture.
  • Experience integrating LLMs into production systems — prompt design, streaming responses, or structured output handling.
  • Experience with AWS services and containerized deployments (Docker, Kubernetes).
  • Strong engineering fundamentals: you care about test coverage, code review quality, and observable, maintainable systems.

Nice to have:

  • Familiarity with vector databases or semantic search systems (Weaviate, Pinecone, pgvector, etc.).
  • Experience with reactive or async programming patterns (WebFlux, SSE streaming, etc.).
  • Exposure to analytics databases (ClickHouse, Snowflake, or similar).
  • Familiarity with Redis for caching, session state, or pub/sub.
  • Experience with monorepo tooling (Nx, Turborepo, etc.).
  • Hands-on experience with prompt engineering, RAG architectures, or AI agent patterns.

#LI-Onsite

Our Culture:

Spark Greatness. Shatter Boundaries. Share Success. Are you ready? Because here, right now – is where the future of work is happening. Where curious disruptors and change innovators like you are helping communities and customers enable everyone – anywhere – to learn, grow and advance. To be better tomorrow than they are today.

Who We Are:

At Cornerstone, we believe in AI that works in the service of people, amplifying their judgment to drive high-performing, future-ready organizations forward. Cornerstone Workforce AI™, the intelligence platform for workforce readiness, brings together workforce and labor market data into a proprietary Cornerstone People Graph™, translating signals into intelligence, targeting learning where it matters, developing critical skills, and surfacing hidden talent. Delivered as an open, enterprise platform across whatever application your people work in every day, Cornerstone Workforce AI is built for scale, security, and trust, with certified AI guardrails. As an industry leader, Cornerstone is helping approximately 7,000 organizations, 140M+ users, across 186 countries build continuous workforce readiness.

Check us out on LinkedIn, Comparably, Glassdoor, and Facebook!

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