AI Developer – Computer Vision & Agentic AI Jobs in Mumbai 2026 | Jewelex India Pvt. Ltd. Careers
Introduction
Artificial Intelligence is transforming industries at an unprecedented pace, and organizations are actively investing in intelligent automation to improve productivity and decision-making. If you’re an AI Engineer or Machine Learning professional looking for exciting opportunities in Mumbai, the AI Developer – Computer Vision & Agentic AI position at Jewelex India Pvt. Ltd. offers an excellent chance to work on cutting-edge technologies such as Computer Vision, Retrieval-Augmented Generation (RAG), Agentic AI, Large Language Models (LLMs), and AI-driven workflow automation.
This opportunity is ideal for candidates with 1–5 years of experience who are passionate about building real-world AI solutions for enterprise applications, especially in supply chain automation and intelligent business systems.
Job Overview
Job Role: AI Developer – Computer Vision & Agentic AI
Company: Jewelex India Pvt. Ltd.
Location: Mumbai (Hybrid)
Department: Technology / AI & Automation
Experience: 1–5 Years
Qualification: Bachelor’s or Master’s Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field
Employment Type: Full-Time
About Jewelex India Pvt. Ltd.
Jewelex India Pvt. Ltd. is one of India’s leading diamond manufacturers and exporters with a strong global presence. The company combines innovation, technology, and craftsmanship to deliver premium-quality diamond products worldwide.
Over the years, Jewelex has expanded beyond traditional manufacturing by investing heavily in digital transformation, automation, artificial intelligence, and advanced technologies to improve operational efficiency across manufacturing, supply chain, and business processes.
Its growing focus on AI-powered business solutions makes it an exciting workplace for engineers interested in solving real-world enterprise challenges.
About the AI Developer Role
The AI Developer will be responsible for designing, developing, deploying, and optimizing intelligent AI systems that automate complex business workflows.
The role combines multiple advanced AI domains, including:
- Computer Vision
- Agentic AI
- Retrieval-Augmented Generation (RAG)
- Vector Databases
- Multimodal AI
- Workflow Automation
- Enterprise AI Integration
This position provides an opportunity to work directly on production-grade AI applications instead of only research projects.
Key Responsibilities
The selected candidate will work across multiple AI initiatives, including:
AI Development
- Design Computer Vision models
- Build image classification systems
- Develop object detection pipelines
- Create image analysis solutions
- Fine-tune deep learning models
- Improve model accuracy
- Deploy AI applications
Computer Vision Solutions
Develop intelligent vision systems using neural networks for:
- Image Classification
- Object Detection
- Feature Extraction
- Image Recognition
- Visual Analysis
Retrieval-Augmented Generation (RAG)
Develop enterprise-grade RAG pipelines by:
- Creating document retrieval systems
- Managing vector databases
- Building semantic search applications
- Improving knowledge retrieval
- Enhancing AI response accuracy
Agentic AI Development
Design intelligent AI agents capable of:
- Workflow automation
- Multi-step reasoning
- Autonomous task execution
- Business process automation
- Decision support
AI System Integration
Responsibilities include:
- API Integration
- Internal tool integration
- Business application integration
- AI deployment
- Workflow optimization
- Performance improvement
Collaboration
Work closely with:
- Business Teams
- Operations Teams
- AI Engineers
- Technology Teams
- Product Teams
to translate business requirements into AI-powered solutions.
Required Technical Skills
The job description highlights several important technologies. Understanding each of them can significantly improve your chances during the interview.
1. Computer Vision
Computer Vision enables machines to interpret and analyze visual information.
It includes:
- Image Classification
- Object Detection
- Image Segmentation
- Face Recognition
- OCR
- Feature Detection
Why it matters:
The company is building image-based AI systems to automate business operations.
2. Deep Learning
Candidates should understand deep learning architectures used in Computer Vision.
Examples include:
- CNN
- ResNet
- EfficientNet
- YOLO
- Vision Transformers (ViT)
Importance:
Deep learning forms the foundation of modern AI image-processing systems.
3. PyTorch
PyTorch is one of the world’s most popular deep learning frameworks.
Why important:
- Model development
- Model training
- Fine-tuning
- Research
- Production deployment
4. TensorFlow
TensorFlow enables scalable AI development.
Skills include:
- Neural Network Development
- Model Deployment
- Tensor Operations
- TensorFlow Serving
5. Python
Python remains the primary language for Artificial Intelligence.
Expected knowledge:
- Object-Oriented Programming
- NumPy
- Pandas
- OpenCV
- FastAPI
- Flask
6. RAG (Retrieval-Augmented Generation)
RAG combines:
- Large Language Models
- Enterprise Documents
- Vector Search
- Context Retrieval
Benefits:
- Accurate AI responses
- Reduced hallucinations
- Better enterprise search
7. Vector Databases
Popular databases include:
- Pinecone
- ChromaDB
- Weaviate
- FAISS
- Milvus
These databases help AI systems retrieve contextual information efficiently.
8. Agentic AI
Agentic AI enables autonomous systems that can:
- Plan
- Reason
- Execute tasks
- Interact with APIs
- Automate workflows
This is one of the fastest-growing areas in Artificial Intelligence.
9. LoRA & QLoRA
These techniques enable efficient fine-tuning of Large Language Models.
Advantages include:
- Lower GPU memory usage
- Faster training
- Cost-efficient model customization
10. Multimodal AI
Multimodal AI combines multiple data types:
- Images
- Text
- Documents
- Audio
This enables richer AI applications and better business automation.
11. API Integration
AI applications must communicate with business systems.
Candidates should understand:
- REST APIs
- JSON
- Authentication
- API deployment
Educational Qualification
Candidates should possess:
- Bachelor’s Degree in Computer Science
- Bachelor’s Degree in Artificial Intelligence
- Bachelor’s Degree in Engineering
- Master’s Degree (Preferred)
Relevant academic backgrounds include:
- Computer Science
- AI
- Data Science
- Machine Learning
- Information Technology
Experience Required
- 1–5 years of AI/ML experience
- Production AI systems experience preferred
- Real-world deployment experience
- Enterprise AI development experience is an advantage
Behavioral Skills
The company also values professional qualities such as:
- Ownership
- Accountability
- Innovation
- Problem-solving
- Collaboration
- Communication
- Attention to Detail
- Continuous Learning
Why Consider This Opportunity?
This role offers exposure to several emerging AI technologies that are in high demand globally. Engineers joining Jewelex can gain practical experience in enterprise AI deployment while working on impactful automation projects.
Some advantages include:
- Hybrid work model
- Real-world AI implementation
- Exposure to Computer Vision and Generative AI
- Opportunity to work on Agentic AI systems
- Enterprise-scale automation projects
- Cross-functional collaboration
- Career growth in AI Engineering
Who Should Apply?
This opportunity is suitable for:
- AI Developers
- Machine Learning Engineers
- Computer Vision Engineers
- Python Developers transitioning into AI
- Data Scientists
- Deep Learning Engineers
- GenAI Engineers
- Software Engineers with AI experience
Final Thoughts
The AI Developer – Computer Vision & Agentic AI role at Jewelex India Pvt. Ltd. is an excellent opportunity for professionals looking to build expertise in next-generation AI technologies. The role combines Computer Vision, Generative AI, RAG, Agentic AI, Python development, and workflow automation into a single position that offers exposure to real production environments.
As enterprises continue adopting AI to improve operations and decision-making, professionals with hands-on experience in these technologies will remain in high demand. Candidates who enjoy solving complex business problems using modern AI frameworks and cloud-ready architectures should strongly consider applying for this position.