**About Cornerstone:** Cornerstone powers the future-ready workforce with up-to-date, AI-driven employment solutions. Our platform enables companies to develop, manage, and engage their talent-unlocking growth and innovation across organizations of all sizes. **In this role you will..** + Design, develop, anddeploy production-grade AI agents and multi-agent systems using modern LLMframeworks. + Build and optimizeRetrieval-Augmented Generation (RAG) solutions for enterprise-scaleapplications. + Develop intelligentworkflows involving planning, reasoning, memory management, tool calling,and function calling. + Design and implementscalable backend services and REST APIs using Python frameworks such asFastAPI. + Integrate LLMs withenterprise systems, vector databases, APIs, and external tools. + Deploy AI applicationsusing Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP. + Optimize AI systems forlatency, scalability, reliability, and cost efficiency. + Build evaluationpipelines to measure retrieval quality, response relevance, hallucinationrates, and overall LLM performance. + Implement semanticsearch, hybrid search, reranking, embedding pipelines, and vector databaseintegrations. + Establish observability,monitoring, logging, and tracing for AI applications usingindustry-standard tools. + Collaborate with productmanagers, software engineers, data scientists, and platform teams todeliver end-to-end AI solutions. + Mentor junior engineersand promote AI engineering best practices, coding standards, andarchitectural excellence. + Stay up to date withemerging advancements in LLMs, Agentic AI, RAG, and AI infrastructure. **You've got what it takes if you have...** + Bachelor's or master'sdegree in computer science, Artificial Intelligence, Machine Learning, ora related technical field. + 8+ years of overallsoftware engineering experience.



+ Minimum 3 years ofhands-on experience building AI/Generative AI applications using LargeLanguage Models (LLMs). + Minimum 3 years ofexperience developing scalable backend software and distributed systems. + Strong proficiency in Java and Python and modern software engineering principles. + Hands-on experience withAI orchestration frameworks such as LangGraph, LangChain, LlamaIndex,etc. + Experience designing andimplementing production-grade RAG systems, including embeddingmodels, semantic search, hybrid search, reranking, and vector databases. + Experience with vectordatabases such as Milvus, Pinecone, Weaviate, OpenSearch,Elasticsearch, FAISS, or ChromaDB. + Experience integratingand deploying applications using LLMs such as OpenAI GPT, Claude,Gemini, Llama, Mistral, Amazon Nova, or Azure OpenAI. + Strong experiencebuilding REST APIs using FastAPI or similar Python frameworks. + Experience withcontainerization and orchestration technologies such as Docker andKubernetes. + Experience deploying AIsolutions on cloud platforms such as AWS, Azure, or GCP. + Familiarity with CI/CDpipelines, Git, and modern DevOps practices. + Experience with AIevaluation, prompt engineering, observability, and monitoring tools suchas LangSmith, Langfuse, MLflow, OpenTelemetry, Prometheus, or Grafana. + Strong understanding ofsoftware architecture, microservices, asynchronous programming, anddistributed systems. + Excellentproblem-solving, communication, and collaboration skills, with the abilityto work effectively in a cross-functional team environment. #LI-Onsite Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at [email protected]

📌 Senior Principal Al Engineer (Hyderabad)
🏢 Cornerstone OnDemand
📍 Hyderabad