Senior AI Engineer - Java, LLM & Gen AI | Hybrid Role

Namely; Mountain View (CA); Hybrid; USD 18,846 - 33,504; Full time

Job summary

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

You will design scalable Java/Spring Boot microservices, own GraphQL evolution, integrate LLMs and vector search, and apply strong data structures for

Qualifications

• 5-8 years of backend or platform engineering experience.
• Proven experience designing and delivering Java-based microservices.
• Strong knowledge of GraphQL schema design and performance tuning.
• Experience with embedding models, vector stores, and NLP concepts.

Responsibilities

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

Skills

Java

Spring Boot

GraphQL

REST APIs

OOP

Distributed systems

NLP concepts

LLMs

Education

Bachelor's degree in CS/related field

Tools

Docker

Kubernetes

AWS / Azure / GCP

PostgreSQL/MySQL

MongoDB/Redis

Graph databases

Job description

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

You will design scalable Java/Spring Boot microservices, own GraphQL evolution, integrate LLMs and vector search, and apply strong data structures for