Senior AI Engineer
Maruti Suzuki India Limited (company site, opens in a new tab)5+ yrsGurugramOn-siteDirect career pageEst. 20–40 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and deploy enterprise-grade Generative AI and Agentic AI solutions including RAG and GraphRAG applications.
- Own end-to-end lifecycle from Proof of Concept to production deployment and ongoing optimization across cloud-agnostic (Azure, AWS, GCP) and on-premise environments.
- Collaborate with automotive domain experts and business stakeholders to translate complex requirements into scalable AI applications incorporating fine-tuned open-source models.
Minimum Requirements
- 5+ years of software engineering or AI/ML experience with hands-on expertise in Generative AI, Agentic AI, and production AI solutions.
- Proficiency in Python with mandatory experience in FastAPI and Flask frameworks.
- Experience designing and delivering cloud-agnostic AI solutions and hosting models/applications in on-premise environments with GPU and CUDA knowledge for efficient model hosting and fine-tuning.
- Hands-on experience with agent frameworks (e.g., LangGraph, AutoGen, Semantic Kernel), containerization (Docker, Kubernetes), CI/CD, MLOps, LLMOps, and working with SQL/NoSQL databases.
Ideal Candidate Profile
- Experienced in developing complex AI solutions integrating multi-agent systems and enterprise-grade RAG/GraphRAG architectures.
- Comfortable leading full application lifecycles from PoC to production in hybrid cloud and on-premise settings with advanced knowledge of AI platform ecosystems.
- Strong domain familiarity with automotive industry insights and expertise in parameter-efficient fine-tuning techniques like LoRA and QLoRA.