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Senior AI Engineer | Hyderabad | Java, LLM, Gen AI | Hybrid | Hyderabad Java LLMGen AIMicroservicesGraphQLData Structures & AlgorithmsCompany Overview Cornerstone OnDemand builds intelligent products that help organizations learn and perform at scale. We value ownership, clarity, and pragmatic engineeringshipping 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 infrastructurepartnering 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 58 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 ! .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.