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Cornerstone OnDemand

Senior AI Engineer

🇮🇳 Hyderabad, Telangana 🕑 Full-Time 💰 TBD 💻 Software Engineering 🗓️ October 13th, 2026
AI LLM Python

Edtech.com's Summary

Cornerstone OnDemand is hiring a Senior AI Engineer to build features for an AI-powered assistant that helps managers and HR leaders understand their teams. The engineer ships work end-to-end across the backend and a React/TypeScript frontend, surfacing skill gaps, career pathways, and organizational insights through LLM-backed conversations while collaborating with data science, product, and platform engineering.

Highlights
  • Build and own backend features, from design and testing to code review and production monitoring.
  • Work on the LLM integration layer, including streaming responses, prompt engineering, and structured output parsing.
  • Contribute to RAG and semantic search architecture with hybrid vector search, caching, and data ingestion pipelines.
  • Create interactive React/TypeScript experiences that render AI-generated content in real time.
  • Improve the NL-to-SQL pipeline that turns natural-language questions into validated analytics queries.
  • Join architecture discussions, technical design reviews, and cross-team collaborations.
  • 3-5 years of experience building production backend services in languages like Java, Python, or Go.
  • Solid grasp of REST API design, distributed systems, and service-oriented architecture.
  • Experience with AWS services and containerized deployments using Docker and Kubernetes.
  • Familiarity with vector databases, analytics databases like ClickHouse or Snowflake, and Redis is a plus.

Senior AI Engineer Full Description

We're looking for a Senior AI 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.
Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. We are proud to be an EOE Protected Veterans/Disability workplace and an affirmative action employer. If you have a disability or special need that requires accommodation, please contact us at [email protected].