Job Description

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 & Tools

Strong 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 & Experience

---------------------------

Bachelor's or Master's in

Computer Science, Data Science, AI/ML, or related field

. 6+ years of overall development experience, with at least 3+ 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.