Senior Al Engineer | Java, LLM & RAG

Cornerstone OnDemand; Hyderabad; On-site; INR 2,400,000 - 3,400,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Cornerstone OnDemand in Hyderabad seeks a Senior AI Engineer to design and deliver backend services powering retrieval-augmented workflows, semantic search, and LLM-backed features. You will work across APIs (REST and GraphQL), data stores, and cloud-native infrastructure—partnering with product and ML stakeholders to bring AI capabilities safely into production.

You will design, build, and operate scalable Java/Spring Boot microservices and shared platform components, own GraphQL schema

Qualifications

• 5–8 years of backend or platform engineering experience with strong Java expertise.
• Hands-on experience with Spring Boot, microservices, REST & GraphQL APIs.
• Experience with GraphQL schema design, resolvers, and query optimization.

Responsibilities

• Design, build, and operate scalable Java/Spring Boot microservices and shared platform components.
• Own GraphQL schema evolution, resolvers, and performance optimizations.
• Integrate LLMs, embeddings, and vector search into production paths with observability.
• Collaborate on data modeling and API contracts across SQL, NoSQL, and vector stores.
• Champion security (OAuth2, JWT) and reliability in distributed systems.
• Improve CI/CD, automated testing, and deployment practices for safe, frequent releases.

Skills

Java

Backend architecture

REST APIs

GraphQL design

NLP/LLM basics

Tools

Spring Boot

Docker

Kubernetes

AWS

PostgreSQL

NoSQL

Vector stores

Job description

We're looking for a Senior Al Engineer | Java, LLM & Gen AI. This role is Office Based, Hyderabad Office.

Senior AI Engineer | Hyderabad | Java, LLM, Gen AI | Hybrid.

Java.

• LLM
• Gen AI
• Microservices
• GraphQL
• Data Structures & Algorithms

Company Overview

Cornerstone OnDemand builds intelligent products that help organizations learn and perform at scale. We value ownership, clarity, and pragmatic engineering - shipping reliable systems that blend modern AI with solid backend discipline. This role sits at the intersection of platform engineering and applied AI.

The Role

We are looking for a Senior AI Engineer to design and deliver backend services that power retrieval-augmented workflows, semantic search, and LLM-backed features. You will work across APIs (REST and GraphQL), data stores, and cloud-native infrastructure—partnering with product and ML stakeholders to bring AI capabilities safely into production.

In This Role You Will

Design, build, and operate scalable Java/Spring Boot microservices and shared platform components.

Own GraphQL schema evolution, resolvers, and performance (N+1 avoidance, batching, caching).

Integrate LLMs, embeddings, and vector search into production paths with clear observability and fallbacks.

Apply strong data structures and algorithms judgment to performance-sensitive paths (indexing, ranking, batching, and cost-aware service design).

Collaborate on data modeling and API contracts across SQL, NoSQL, and vector stores.

Champion security (OAuth2, JWT, API hardening) and reliability in distributed, event-driven systems.

Improve CI/CD, automated testing, and deployment practices for safe, frequent releases.

You Have Got What It Takes If You

• 5–8 years of experience in backend or platform engineering with strong expertise in Java.
• Hands-on experience with Spring Boot, microservices architecture, REST & GraphQL APIs.
• Strong experience in GraphQL schema design, resolvers, and query optimization (N+1, batching, caching).
• Solid understanding of data structures, algorithms, OOP, and distributed system design.
• Experience working with SQL (PostgreSQL/MySQL) and NoSQL databases (MongoDB, Redis).
• Familiarity with vector databases such as Weaviate, Pinecone, or Milvus.
• Practical exposure to LLMs, embeddings, and NLP concepts.
• Experience with Docker, Kubernetes, and at least one cloud platform (AWS / Azure / GCP).
• Understanding of asynchronous processing, event-driven systems, and messaging (Kafka/RabbitMQ).
• Knowledge of security practices (OAuth2, JWT, API security).
• Experience with CI/CD pipelines and automated deployments.

Preferred

• Hands-on experience building RAG (Retrieval-Augmented Generation) systems.
• Experience with semantic search / hybrid search (BM25 + embeddings).
• Familiarity with LLM APIs (OpenAI, Bedrock, etc.) and prompt engineering.
• Exposure to LLMOps / MLOps workflows.
• Experience with API gateways, rate limiting, and high-scale systems.
• Prior work on AI-driven products or platforms.

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

Cornerstone powers the potential of organizations and their people to thrive in a changing world. Cornerstone Galaxy, the complete AI-powered workforce agility platform, meets organizations where they are. With Galaxy, organizations can identify skills gaps and development opportunities, retain and engage top talent, and provide multimodal learning experiences to meet the diverse needs of the modern workforce. More than 7,000 organizations and 100 million+ users in 180+ countries and in nearly 50 languages use Cornerstone Galaxy to build high-performing, future-ready organizations and people today.

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