About this role
Responsibilities & Key Deliverables
We are looking for an experienced Senior Generative AI Engineer to join our GenAI Solutions team. The ideal
candidate will bring extensive expertise in Large Language Models (LLMs), Retrieval-Augmented Generation
(RAG), and Agentic AI systems, along with a strong background in cloud-native development and enterprise
scale deployments. This role is critical in driving our AI innovation strategy and delivering impactful,
production-ready solutions for business transformation.
- Lead the end-to-end design, development, and deployment of Generative AI applications, including LLMpowered workflows, RAG pipelines, and Agentic AI solutions.
- Architect secure and scalable AI infrastructures using cloud platforms (GCP, AWS, Azure).
- Apply fine-tuning, advanced prompt engineering, and LLMOps best practices to enhance solution performance and relevance.
- Build, optimize, and maintain APIs and microservices (FastAPI, REST, Spring Boot) to integrate AI solutions into enterprise applications.
- Develop and manage data pipelines, vector databases, and Elasticsearch integrations for real-time knowledge retrieval and decision-making.
- Implement MLOps, CI/CD, and DevOps practices using Kubernetes, Docker, Jenkins, and Ansible for robust deployment and monitoring.
- Ensure high availability, logging, and performance monitoring through ELK stack and infrastructure-as code practices.
- Collaborate with cross-functional teams to align AI solutions with business goals and operational requirements.
- Mentor and guide junior engineers, setting best practices for scalable AI development.
Experience
- 2+ years of professional software engineering experience, with Generative AI/LLM application development.
Qualifications
- A master’s degree in computer science/applications/engineering.
- Proven expertise in LLMs, LangChain, LangGraph, RAG systems, and Agentic AI frameworks.
- Proficiency in Python (advanced).
- Strong knowledge of cloud platforms: GCP, AWS, Azure.
- Hands-on experience with MLOps & DevOps practices: Kubernetes, Docker, Jenkins, Ansible, Infrastructure-as-Code.
- Experience with databases and data pipelines: PostgreSQL, SQL, Vector Databases, Elasticsearch.
- Familiarity with API development frameworks: FastAPI.
- Excellent analytical and problem-solving skills with the ability to lead AI initiatives end-to-end.
- Strong communication skills with experience in working across cross-functional and distributed teams.
General Requirements
- Domain experience in automotive, manufacturing, or enterprise AI solutions.
- Background in enterprise-grade AI security and compliance.
- Exposure to frontend integration frameworks (ReactJS) for AI-enabled applications
Other facts
About Mahindra & Mahindra Limited
A USD 19.4 billion multinational group based in Mumbai, India, Mahindra provides employment opportunities to over 256,000 people across 100 countries. Mahindra operates in the key industries that drive economic growth, enjoying a leadership position in tractors, utility vehicles, information technology, financial services and vacation ownership. In addition, Mahindra enjoys a strong presence in the agribusiness, aerospace, components, consulting services, defence, energy, industrial equipment, logistics, real estate, retail, steel, commercial vehicles and two wheeler industries. The Automotive and Farm Equipment Business is the largest contributor of the Mahindra Group’s revenue. With 30,000+ full time employees spread across 20 locations, Mahindra has a strong presence in India. Further it propels an entire manufacturing ecosystem of 1,200 suppliers and 3,500 dealers, thereby creating direct and indirect employment for over 200,000 individuals.
Our Farm Equipment business is the number 1 tractor company in the world by volume. In addition to our focus on maintaining a leading position in the core tractor mechanization business, we strive to deliver on our aspiration of “Farm Tech Prosperity” thus enabling our customers and our communities to RISE.
Our Automotive business is a full-range mobility player with a presence in almost every segment of the automobile industry. Our product portfolio ranges from world class SUVs, premium luxury UVs, sedans, pick-ups, light, medium and heavy commercial vehicles to three-wheelers. All these cater to a diverse customer base spanning across rural and semi-urban customers. Leveraging our growing dominance, domestic & international market penetration and recent strategic acquisitions, we aim to provide world class exeperience to our customers and team members.
What you'll do
- The AI Engineer will lead the design, development, and deployment of Generative AI applications, ensuring they are production-ready for business transformation. This includes architecting secure AI infrastructures and collaborating with cross-functional teams to align solutions with business goals.
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