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14 Aug
Top Gen AI Jobs
Chennai
Home/Jobs/AI ENGINEER
AI ENGINEER
Saint-Gobain Innovation Hub India (sgi-i)
Chennai
3-5 years
Today
$24.1K–37.3K/yr
Full-time
Onsite
Skills Required LLM
Agentic AI
RAG
Prompt Engineering
Azure OpenAI
LangChain
Python
Machine Learning
Deep Learning
NLP
Computer Vision
Azure AI Foundry
Azure Machine Learning
Semantic Search
Knowledge Graphs
Description Saint-Gobain Innovation Hub India is hiring an AI Engineer to build and deploy enterprise-grade AI solutions for scientific discovery, engineering innovation, and manufacturing excellence. The role focuses on applied Agentic AI, RAG, and AI platforms in a global R&D; environment.
Company: Saint-Gobain Innovation Hub India (SGI-I)
Role: AI ENGINEER
Location: CHENNAI,TAMIL NADU,INDIA
Experience
- 3 - 5 Years
- 3 -5 years of experience in AI, Machine Learning, Data Science, or AI Engineering
- Experience developing AI solutions for industrial R&D;, engineering, manufacturing, or scientific environments
- Experience collaborating with multidisciplinary research and engineering teams
Qualification
- M.E./M.Tech. or Ph.D.
- Computer Science
- Artificial Intelligence
- Data Science
- Materials Science
- Mechanical Engineering
- Chemical Engineering
- Metallurgy
- Physics
- Electronics
- related engineering/scientific discipline
Responsibilities
- Design and develop AI solutions for research, product innovation, and digital transformation initiatives
- Build Agentic AI applications for technical knowledge discovery, experiment planning, process optimization, troubleshooting, and decision support
- Develop RAG-based AI solutions using research publications, patents, laboratory reports, technical documents, and enterprise knowledge repositories
- Build reusable AI platforms, APIs, and enterprise services for global R&D; and manufacturing organizations
- Integrate AI solutions with enterprise data platforms, laboratory systems, simulation tools, and cloud ecosystems
- Collaborate with multidisciplinary teams to identify and deliver high-impact AI solutions
- Ensure AI solutions are scalable, secure, explainable, and aligned with Responsible AI principles
Additional Responsibilities
- Work closely with researchers, engineers, scientists, manufacturing experts, and global business stakeholders
- Develop and deploy next-generation AI solutions that accelerate scientific discovery, engineering innovation, manufacturing excellence, and knowledge discovery across the global R&D; ecosystem
- Maintain focus on business impact, usability, and adoption
Nice To Have
- Strong research background with demonstrated application of AI to engineering or scientific problems
- Exposure to engineering, manufacturing, or scientific data
- Experience working in industrial R&D; organizations, innovation centers, or technology development teams
- Demonstrated ability to solve engineering or scientific problems using AI and Machine Learning
- Publications, patents, or technical contributions
- Solid analytical, communication, and stakeholder management skills
- Passion for applying AI to scientific discovery and engineering innovation
- Factory AI
- Manufacturing Process Innovation
- Advanced Manufacturing
- Process Engineering
- Industrial Automation
- Digital Engineering & Process Simulation
- Manufacturing Analytics
More Skills vector databases, AI search technologies, REST APIs, FastAPI, microservices, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, MLOps, Docker, Kubernetes, Git, CI/CD, LangGraph, Semantic Kernel, AutoGen, CrewAI, enterprise AI platforms
Other
- Filiere: Information Systems
- 1 position
- Expires on 16/08/2026
- Job Code: SIPL-599
- The role is for enterprise-grade AI solutions in a global R&D; ecosystem
- Responsibility to align solutions with business impact, usability, adoption, security, scalability, and explainability
Prepare for this role Recommended resources to build the skills for this position. Sponsored.
Generative AI with Large Language Models
Coursera
Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.
Python for Everybody Specialization
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Learn Python from scratch — variables, data structures, web scraping, and databases.
Python 3 Programming Specialization
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Intermediate Python covering classes, inheritance, APIs, and data processing.
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