Job Requirements

We are seeking a highly skilled Senior AI/ML Developer to design and implement next-generation AI-powered knowledge management systems. The ideal candidate will have expertise in document understanding, LLMs, multimodal AI, and agentic AI systems.

You will lead the development of a co-pilot-style solution capable of ingesting, processing, and reasoning over large volumes of documents (PDFs, scanned images, engineering drawings, invoices, P&IDs, SOPs, etc.), and delivering accurate, context-aware answers to user queries.

This role requires deep expertise in both cloud-native (Azure) and open-source AI ecosystems, with the ability to design autonomous, agent-driven workflows that integrate multiple tools, APIs, and data sources.

Work Experience
Key Responsibilities

AI/ML Solution Design & Development

Architect and implement document understanding pipelines (structured + unstructured data).Build retrieval-augmented generation (RAG) systems and LLM-based copilots for enterprise knowledge management.Develop agentic AI workflows (using LangChain Agents, Semantic Kernel, AutoGen, etc.) for multi-step reasoning and automation.Integrate OCR, computer vision, and NLP models to process scanned PDFs, engineering drawings, invoices, and P&ID diagrams.Fine-tune and optimize LLMs (OpenAI, Azure OpenAI, Hugging Face, LLaMA, etc.) for enterprise use.

 

Cloud & Data Engineering

Build scalable AI solutions on Azure tech stack (Azure AI Search, Cognitive Services, Azure OpenAI, Azure Functions, Blob Storage, AKS).Implement vector databases (e.g., Pinecone, Weaviate, Azure AI Search, FAISS) for semantic and multimodal search.Design and manage efficient data pipelines using Python, SQL, and distributed processing frameworks.

 

Full-Stack Collaboration

Work with front-end developers (React) to integrate AI services into user-friendly applications.Ensure smooth API design and deployment of AI services.

 

Performance & Governance

Ensure system scalability, low latency, and cost efficiency.Apply best practices for responsible AI (bias mitigation, data security, compliance).Required Skills & Qualifications

Core AI/ML Expertise

Strong hands-on experience in NLP, LLMs, RAG, and multimodal AI.Proven experience building agentic AI workflows (LangChain Agents, Microsoft Semantic Kernel, AutoGen, CrewAI, Haystack agents).Proficiency with document AI, OCR, computer vision, and structured document parsing.Expertise in transformer-based models (BERT, GPT, LLaMA, etc.), fine-tuning, and prompt engineering.Knowledge of knowledge graphs, embeddings, and semantic search.Programming & ToolsStrong skills in Python (PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, OpenAI SDKs).Experience with data processing & ETL pipelines (Pandas, Spark, Dask).Familiarity with React, REST APIs, FastAPI/Flask/Django for service integration.Strong in SQL (MS SQL), data modeling, and optimization.

 

Cloud & Infrastructure

Experience with Azure AI stack: Azure Cognitive Services, Azure OpenAI, Azure AI Search, Blob Storage, Azure Functions, AKS.

Hands-on with MLOps pipelines (Azure ML, MLflow, CI/CD, Kubeflow).

Knowledge of containerization & orchestration (Docker, Kubernetes).

 

Other Preferred Skills

Experience with vector databases (Pinecone, Weaviate, Milvus, FAISS, Azure AI Search).Exposure to scanned document/image processing (Azure Form Recognizer, LayoutLM, Detectron, Tesseract OCR).Familiarity with engineering/industrial documents (P&ID, CAD drawings, invoices).Understanding of data privacy, security, and compliance in enterprise AI.Education & ExperienceBachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related field.8+ years of overall development experience, with at least 4+ years in AI/ML-focused projects.Proven track record of delivering enterprise-grade AI/ML and agentic systems.Experience in mentoring junior developers and working in agile product teams.