Senior AI Engineer - India

Cornerstone OnDemand; Hyderabad; On-site; INR 2,800,000 - 5,500,000; Full time

Job summary

Cornerstone OnDemand is seeking a Senior AI Engineer to design, build, and deploy AI agents and RAG-based solutions in a enterprise SaaS setting. You will work on scalable Python backend services, REST APIs via FastAPI, and containerized deployments using Docker and Kubernetes.

The role requires deep experience with LLMs, vector databases, and cloud platforms, plus mentoring and collaboration with cross-functional teams in a fast-paced environment.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
• 6+ years of overall software engineering experience.
• Minimum 3 years of hands-on experience building AI/Generative AI applications using Large Language Models (LLMs).
• Minimum 3 years of experience developing scalable backend software and distributed systems.
• Strong proficiency in Java and Python and modern software engineering principles.
• Experience with AI orchestration frameworks and vector databases.
• Experience deploying AI solutions on cloud platforms (AWS/Azure/GCP).

Responsibilities

• Design, develop, and deploy production-grade AI agents and multi-agent systems using modern LLM frameworks.
• Build and optimize Retrieval-Augmented Generation (RAG) solutions for enterprise-scale applications.
• Develop intelligent workflows involving planning, reasoning, memory management, tool calling, and function calling.
• Design and implement scalable backend services and REST APIs using Python frameworks such as FastAPI.
• Integrate LLMs with enterprise systems, vector databases, APIs, and external tools.
• Deploy AI applications using Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.
• Optimize AI systems for latency, scalability, reliability, and cost efficiency.
• Build evaluation pipelines to measure retrieval quality, response relevance, hallucination rates, and overall LLM performance.
• Implement semantic search, hybrid search, reranking, embedding pipelines, and vector database integrations.
• Establish observability, monitoring, logging, and tracing for AI applications using industry-standard tools.
• Collaborate with product managers, software engineers, data scientists, and platform teams to deliver end-to-end AI solutions.
• Mentor junior engineers and promote AI engineering best practices, coding standards, and architectural excellence.
• Stay up to date with emerging advancements in LLMs, Agentic AI, RAG, and AI infrastructure.

Skills

Python

Java

Distributed systems

AI/Generative AI

REST APIs

CI/CD

Education

Bachelor's degree in CS/AI/ML

Master's degree in CS/AI/ML

Tools

FastAPI

Docker

Kubernetes

LangGraph/LangChain

Job description

Job Description: Senior AI Engineer

This role is Office Based, Hyderabad Office

We are seeking an enthusiastic Senior AI Engineer to join our team and contribute to the development of intelligent talent technology. This is a hands-on opportunity for those early in their career to gain experience with AI and machine learning in a real-world, enterprise SaaS environment. You’ll work alongside experienced engineers and learn how large language models, recommender systems, and other AI solutions enhance the workplace.

In this role you will…

• Design, develop, and deploy production-grade AI agents and multi-agent systems using modern LLM frameworks.


• Build and optimize Retrieval-Augmented Generation (RAG) solutions for enterprise-scale applications.


• Develop intelligent workflows involving planning, reasoning, memory management, tool calling, and function calling.


• Design and implement scalable backend services and REST APIs using Python frameworks such as FastAPI.


• Integrate LLMs with enterprise systems, vector databases, APIs, and external tools.


• Deploy AI applications using Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.


• Optimize AI systems for latency, scalability, reliability, and cost efficiency.


• Build evaluation pipelines to measure retrieval quality, response relevance, hallucination rates, and overall LLM performance.


• Implement semantic search, hybrid search, reranking, embedding pipelines, and vector database integrations.


• Establish observability, monitoring, logging, and tracing for AI applications using industry-standard tools.


• Collaborate with product managers, software engineers, data scientists, and platform teams to deliver end-to-end AI solutions.


• Mentor junior engineers and promote AI engineering best practices, coding standards, and architectural excellence.


• Stay up to date with emerging advancements in LLMs, Agentic AI, RAG, and AI infrastructure.

You’ve got what it takes if you have…

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.


• 6+ years of overall software engineering experience.


• Minimum 3 years of hands-on experience building AI/Generative AI applications using Large Language Models (LLMs).


• Minimum 3 years of experience developing scalable backend software and distributed systems.


• Strong proficiency in Java and Python and modern software engineering principles.


• Hands-on experience with AI orchestration frameworks such as LangGraph, LangChain, LlamaIndex, etc.


• Experience designing and implementing production-grade RAG systems, including embedding models, semantic search, hybrid search, reranking, and vector databases.


• Experience with vector databases such as Milvus, Pinecone, Weaviate, OpenSearch, Elasticsearch, FAISS, or ChromaDB.


• Experience integrating and deploying applications using LLMs such as OpenAI GPT, Claude, Gemini, Llama, Mistral, Amazon Nova, or Azure OpenAI.


• Strong experience building REST APIs using FastAPI or similar Python frameworks.


• Experience with containerization and orchestration technologies such as Docker and Kubernetes.


• Experience deploying AI solutions on cloud platforms such as AWS, Azure, or GCP.


• Familiarity with CI/CD pipelines, Git, and modern DevOps practices.


• Experience with AI evaluation, prompt engineering, observability, and monitoring tools such as LangSmith, Langfuse, MLflow, OpenTelemetry, Prometheus, or Grafana.


• Strong understanding of software architecture, microservices, asynchronous programming, and distributed systems.


• Excellent problem-solving, communication, and collaboration skills, with the ability to work effectively in a cross-functional team environment.

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.

Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. We are proud to be an EOE Protected Veterans/Disability workplace and an affirmative action employer. If you have a disability or special need that requires accommodation, please contact us at [e-mail].