Cummins

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Senior AI Engineer

🗓️ Posted 2026-09-08 Pune Full-time Hybrid ICT

💰 Salary Not shared 📊 Market ₹150,000–₹300,000/mo (₹1,800,000–₹3,600,000/yr)

About the Company

At Cummins, we empower everyone to grow their careers through meaningful work, building inclusive and equitable teams, coaching, development and opportunities to make a difference. Across our entire organization, you'll find engineers, developers, and technicians who are innovating, designing, testing, and building. You'll also find accountants, marketers, as well as manufacturing, quality and supply chain specialists who are working with technology that's just as innovative and advanced. From your first day at Cummins, we're focused on understanding your talents, current skills and future goals - and creating a plan to get you there. Your journey begins with planning your development and connecting to diverse experiences designed to spur innovation. From our internships to our senior leadership roles, we attract, hire and reward the best and brightest from around the world and look to them for new ideas and fresh perspectives. Learn more about LifeAtCummins at cummins.com/careers. Motor Vehicle Manufacturing Specialties: Cummins Engine Business, Cummins Power Generation, Cummins Distribution Business, Cummins Turbo Technologies, Cummins Emission Solutions, Cummins Fuel Systems, Cummins Filtration, Cummins Electrified Power

Responsibilities

● Build, deploy, and maintain AI-powered applications and intelligent agents
● Develop agentic AI workflows, multi-agent systems, and AI orchestration frameworks
● Design and develop Large Language Model application development and Generative AI solution design
● Integrate both commercial and open-source foundation models
● Develop production-grade applications and APIs using Python
● Develop REST APIs, microservices, and event-driven architectures
● Integrate enterprise data sources, structured and unstructured datasets, and knowledge repositories
● Design enterprise-scale AI platforms and reusable AI services
● Evaluate AI technologies and recommend architecture patterns aligned with business objectives
● Establish engineering standards, reusable frameworks, and best practices for AI solution delivery

Requirements

● Strong experience building, deploying, and maintaining AI-powered applications and intelligent agents
● Expertise in Large Language Model application development and Generative AI solution design
● Experience developing agentic AI workflows, multi-agent systems, and AI orchestration frameworks
● Knowledge of prompt engineering, agent evaluation, guardrails, grounding techniques, and AI application observability
● Familiarity with Retrieval-Augmented Generation, semantic search, vector databases, and knowledge management architectures
● Hands-on experience with modern AI orchestration frameworks including LangGraph, LangChain, LlamaIndex Hugging Face, Open-Source LLM ecosystems
● Strong proficiency in Python with experience building production-grade applications and APIs
● Experience with modern software engineering practices including object-oriented design, design patterns, testing, and secure coding principles
● Experience working with Azure Databricks, Spark, and modern data platforms supporting AI workloads
● Strong understanding of data pipelines, feature engineering, and data preparation for AI applications
● Experience with Azure cloud services supporting AI workloads
● Experience with Docker, Kubernetes, and cloud-native application deployment
● Familiarity with MLOps and LLMOps practices including model lifecycle management, monitoring, and continuous deployment
● Minimum 8+ years of hands-on experience in Software Engineering, Full Stack Development, Platform Engineering, Data Engineering, or related technical fields
● Minimum 3+ years of experience designing, developing, or deploying AI, Machine Learning, or Generative AI solutions