AI Engineer
Posted Updated
Description
AlEngineer - India
Thisrole 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'll build and ship features end-to-end across our backend and React/TypeScript frontend, working closely with data science, product, and platform engineering.
Inthis 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'veGot What It Takes If You Have...
- 2-4 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.
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