Generative AI Engineer
KPMG India
New Delhi, Delhi, India1h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers
- Must know
- LLMsDockerKubernetesCI/CDTroubleshootingREST APIs
- Work
- On-site in New Delhi
- Pay
- Not stated by the employer.
- Skill demand
- LLMs89%CI/CD48%Docker32%Kubernetes24%of 100 similar fresher jobs posted in India this week
- Listed
- 30 Oct 2026 · still open
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KPMG India
Key Responsibilities
- Designing and developing enterprise-grade LLM/Generative AI solutions, including model selection, prompt/context engineering, fine-tuning, tool calling, and inference optimization.
- Architecting production-grade RAG solutions, including advanced chunking, embeddings, hybrid retrieval, vector databases, reranking, query transformation, grounding, citations, and retrieval optimization.
- Implementing Agentic AI architectures using LangGraph, LangChain, or equivalent, including orchestration, state/memory, tool calling, conditional workflows, retries, and human-in-the-loop patterns.
- Applying MLOps/LLMOps practices for Docker, Kubernetes, CI/CD, model monitoring, observability, evaluation, and production troubleshooting across cloud and/or on-premises deployments.
- Optimizing AI solutions for accuracy, latency, scalability, GPU utilization, concurrency, token consumption, and infrastructure/API costs.
Requirements & Tech Stack
- Expertise in Machine Learning, Deep Learning, NLP, Transformers, model optimization and evaluation.
- Extensive hands-on experience using Python, PyTorch/TensorFlow, and modern AI frameworks.
- Hands-on expertise in Agentic AI architectures using LangGraph, LangChain, or equivalent.
- Experience with MLOps/LLMOps, Docker, Kubernetes, CI/CD.
Qualifications
- Strong understanding of Responsible AI, security, privacy, guardrails, prompt-injection protection, hallucination mitigation, and enterprise AI governance.
- Experience in working on government projects is a plus.