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.

#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:

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!