Al Engineer India

This role is Office Based, Hyderabad Office

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.





Youve Got What It Takes If You Have
35 years of experience building production backend services in any major language (Java, Python, Go, etc.).
Working experience with TypeScript and React, or a robust 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).
Robust engineering fundamentals: you care about test coverage, code review quality, and observable, maintainable systems.

Extra dose of awesome if you 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

📌 Senior Al Engineer Hyderabad
🏢 Cornerstone
📍 Hyderabad