AI Engineer

• We are looking for a hands-on
• AI Engineer to design, develop, and deploy practical AI solutions for manufacturing and enterprise operations.

The role will participate in AI initiatives across

• Computer Vision
• Generative AI
• AI Workflow Automation
• Document Intelligence
• Enterprise AI Copilots
• AI Agent Applications
• The ideal candidate should be comfortable moving beyond model training and be able to build end-to-end AI solutions from prototype to production.

Key Responsibilities

A. Generative AI & Enterprise AI

• Develop AI-powered applications using LLMs and Generative AI technologies.
• Build chatbot, copilot, and AI assistant solutions for internal business users.
• Design and implement RAG (Retrieval Augmented Generation) systems.
• Integrate AI systems with enterprise data sources and business workflows.
• Develop AI agents and workflow automation solutions.

B. Document AI & Knowledge Systems

• Build solutions for document understanding and information extraction.
• Implement OCR pipelines for scanned documents and forms.
• Design document indexing, retrieval, and search systems.
• Develop knowledge bases using vector databases and semantic search.

C. Computer Vision

• Develop Computer Vision solutions for manufacturing and operational use cases.
• Train, fine-tune, and deploy CV models.

D. Backend & Integration

• Build APIs and AI services using Python.
• Integrate AI solutions with existing enterprise applications.
• Develop data pipelines and processing workflows.
• Support deployment and monitoring of AI services.

E. AI Operations

• Evaluate model performance and solution quality.
• Monitor AI systems in production.
• Improve reliability, latency, and cost efficiency.
• Maintain documentation and technical knowledge.

1. Experience

• 2–3 years experience in AI/ML Engineering
• Experience delivering AI solutions beyond experimentation.
• Experience building production AI applications is preferred.

2. Technical Skills

• Programming
• Python (required)
• SQL (required)
• AI / ML

Experience in one or more areas

• Large Language Models (LLMs)
• Retrieval Augmented Generation (RAG)
• AI Agents
• Computer Vision
• OCR
• NLP
• Frameworks

Experience with some of

• PyTorch
• Hugging Face
• LangChain
• LangGraph
• LlamaIndex
• OpenCV
• Backend

Experience with

• FastAPI
• REST APIs
• Docker
• Databases

Experience with

• PostgreSQL
• Vector Databases (Milvus, Qdrant, Chroma, Weaviate, etc.)

3. Preferred Qualifications

Experience with any of the following is a plus

• Manufacturing or factory-related AI projects
• Computer Vision deployment
• Edge AI deployment
• OCR and document intelligence
• Knowledge Graph / GraphRAG
• MLOps
• CI/CD
• Kubernetes
• Azure AI / Azure OpenAI
• AWS Bedrock
• AI workflow automation

4. Soft Skills

• Strong problem-solving skills
• Ownership mindset
• Good communication skills
• Ability to work with both technical and non-technical stakeholders
• Ability to learn business processes and translate them into AI solutions
• Willingness to work directly with end users and operational teams