JOB DETAILS

Intern

CompanyFortive
LocationBengaluru
Work ModeOn Site
PostedJuly 10, 2026
About The Company
Fortive’s essential technology makes the world safer and more productive. We accelerate transformation in high-impact fields like workplace safety, build environments, and healthcare. We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission-critical solutions. We’re a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to advanced technologies that help providers focus on exceptional patient care. We are a diverse team 10,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact. At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference. At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone. At Fortive, we believe in growth. We’re honest about what’s working and what isn’t, and we never stop improving and innovating. Fortive: For you, for us, for growth. Ready to move your career forward? Find out more at careers.fortive.com. Recruitment fraud alert: Fortive has been made aware of candidates receiving fraudulent job opportunities from unauthorized recruiting agencies or people impersonating Fortive leaders. We take this matter very seriously and are taking all appropriate measures to address this. Learn more: https://careers.fortive.com/recruitment_fraud
About the Role
Job Title

AI Engineering Intern

Job Summary

We are seeking passionate and highly motivated students to join our AI & Automation team as AI Engineering Interns. This internship provides hands-on experience in designing and developing enterprise AI solutions leveraging Generative AI, Agentic AI, Large Language Models (LLMs), MLOps, Cloud AI Services, and Intelligent Automation.

Interns will work alongside experienced AI architects and engineers on real-world projects, gaining practical exposure to modern AI frameworks, cloud platforms, automation technologies, and software engineering best practices.

Key Responsibilities
  • Design, develop, and enhance AI-powered applications using Python and modern software engineering practices.
  • Build Agentic AI solutions utilizing frameworks such as LangGraph, CrewAI, AutoGen, and Model Context Protocol (MCP).
  • Develop and integrate Large Language Model (LLM) applications using Retrieval-Augmented Generation (RAG) and prompt engineering techniques.
  • Work with cloud AI platforms including Azure AI Foundry, Azure OpenAI, AWS Bedrock, and related AI services.
  • Assist in building, testing, deploying, and monitoring AI solutions following MLOps principles.
  • Develop integrations with enterprise applications using REST APIs and cloud services.
  • Support intelligent automation initiatives using Microsoft Power Automate and other automation platforms where applicable.
  • Participate in solution design discussions, code reviews, testing, documentation, and technical knowledge sharing.
  • Collaborate with mentors and cross-functional teams to deliver high-quality AI solutions aligned with business objectives.
  • Continuously explore and evaluate emerging AI technologies, tools, and frameworks.
Required Qualifications
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Electronics, or a related engineering discipline.
  • Strong programming fundamentals with proficiency in Python.
  • Good understanding of Data Structures, Algorithms, and Object-Oriented Programming.
  • Basic knowledge of Artificial Intelligence, Machine Learning, and Generative AI concepts.
  • Familiarity with REST APIs, Git, and software development lifecycle concepts.
  • Strong analytical, problem-solving, and communication skills.
  • Passion for learning emerging AI technologies and solving real-world engineering problems.
Preferred Skills
  • Exposure to Generative AI and Large Language Models (LLMs).
  • Understanding of Agentic AI concepts or multi-agent systems.
  • Familiarity with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar AI frameworks.
  • Exposure to Azure, AWS, or Google Cloud Platform.
  • Basic understanding of MLOps, CI/CD pipelines, Docker, and containerization.
  • Experience with Vector Databases, RAG architectures, or AI application development is an advantage.
  • Knowledge of Microsoft Power Platform (Power Automate) is a plus.
  • Familiarity with SQL or NoSQL databases is desirable.
Technologies & Learning Exposure

During the internship, candidates will gain hands-on experience with technologies including:

  • Python
  • Generative AI & Large Language Models (LLMs)
  • Agentic AI Frameworks (LangGraph, CrewAI, AutoGen, MCP)
  • Prompt Engineering & RAG
  • Azure AI Foundry & Azure OpenAI
  • AWS Bedrock
  • Microsoft Power Automate
  • MLOps Fundamentals
  • Docker & Containerization
  • REST APIs
  • Git & GitHub
  • CI/CD Pipelines
  • Cloud-native AI Development
What You'll Gain
  • Opportunity to work on enterprise-grade AI solutions with real business impact.
  • Hands-on experience with cutting-edge AI technologies and modern engineering practices.
  • Mentorship from experienced AI Architects and Engineering Leaders.
  • Exposure to enterprise software development, cloud-native AI platforms, and intelligent automation.
  • A collaborative learning environment focused on technical excellence, innovation, and continuous growth.
Key Skills
PythonGenerative AILarge Language ModelsAgentic AIRAGMLOpsAzure AI FoundryAWS BedrockLangGraphCrewAIREST APIsGitDockerPrompt EngineeringPower AutomateData Structures
Categories
TechnologySoftwareEngineeringData & AnalyticsScience & Research
Benefits
Mentorship From Experienced AI ArchitectsHands-on Experience With Cutting-edge AI TechnologiesCollaborative Learning Environment
Job Information
📋Core Responsibilities
Design and develop enterprise AI solutions using Generative AI, Agentic AI, and LLMs. Collaborate with architects to build, deploy, and monitor AI-powered applications following MLOps principles.
📋Job Type
full time
📊Experience Level
0-2
💼Company Size
8512
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
Apply Now →

You'll be redirected to
the company's application page