AIML/Gen AI Developer

VMC Soft Technologies, Inc; Hyderabad; On-site; INR 450,000 - 750,000; Full time

Job summary

VMC Soft Technologies, Inc. is hiring a Generative AI Developer to build end-to-end RAG pipelines and multimodal processing for contract documents.

You will work on open-source LLMs, agent workflows, and integration with vector databases, OCR parsers, and modular FastAPI services. The role requires 6+ years in backend/ML with at least 1 year in GenAI/RAG systems, strong Python skills, and hands-on experience with PDF parsing and multimodal models such as GPT-4V and LLaVA.

Qualifications

• 6+ years backend/ML experience with 1+ year in GenAI, RAG, or agentic architectures.
• Strong Python, plus experience with LangChain, LlamaIndex, Haystack.
• Proficient in PDF parsing (text, tables, images) and chunking.
• Experience with multimodal models (e.g., GPT-4V, LLaVA).
• Hands-on with vector DBs, FastAPI, Redis/Postgres.
• Understanding of legal/contract structure and NLP challenges.

Responsibilities

• Build end-to-end RAG pipelines: parse chunk embed retrieve generate.
• Develop agentic workflows using AgenticX, LangGraph, or custom orchestration.
• Parse contract PDFs using layout-aware and OCR-based parsers (Unstructured, PyMuPDF, PDFPlumber).
• Enable multimodal processing (text + images/tables) using models like GPT-4V, LLaVA, Donut.
• Integrate open-source models (Mistral, LLaMA3, Ollama) and vector databases (Milvus, FAISS, Qdrant).
• Build modular APIs (FastAPI) for Q&A, summarization, and classification across documents.
• Optimize retrieval/generation for long-context and multi-document inputs.

Skills

Python programming

LangChain

LlamaIndex

Haystack

Multimodal modelling

PDF parsing

RAG pipelines

Agentic architectures

FastAPI

Vector databases

Tools

Unstructured

PyMuPDF

PDFPlumber

GPT-4V

LLaVA

Donut

Mistral

LLaMA3

Ollama

Milvus

FAISS

Qdrant

LangGraph

AgenticX

Job description

Role : AIML/Gen AI Developer

6+ years backend/ML development, 1+ year with GenAI/RAG systems

Location - Bangalore, HYD, Kochi, Delhi NCR, Bhubaneswar and Pune

About The Role

We're hiring a Generative AI Developer to build an advanced RAG pipeline with agentic and multimodal capabilities for processing complex contract documents (PDFs with text, tables, and images). You'll work with open-source LLMs, build agent workflows with AgenticX/LangGraph, and design systems that combine vision and language models for deeper contract understanding.

Responsibilities

• Build end-to-end RAG pipelines: parse chunk embed retrieve generate
• Develop agentic workflows using AgenticX, LangGraph, or custom orchestration
• Parse contract PDFs using layout-aware and OCR-based parsers (Unstructured, PyMuPDF, PDFPlumber)
• Enable multimodal processing (text + images/tables) using models like GPT-4V, LLaVA, Donut
• Integrate open-source models (Mistral, LLaMA3, Ollama) and vector databases (Milvus, FAISS, Qdrant)
• Build modular APIs (FastAPI) for Q&A, summarization, and classification across documents
• Optimize retrieval/generation for long-context and multi-document inputs

Required Skills

• 6+ years in backend/ML; 1+ year in GenAI, RAG, or agentic architectures
• Strong Python skills; experience with LangChain, LlamaIndex, Haystack
• Deep experience in PDF parsing (text, tables, images) and chunking strategies
• Familiarity with multimodal models (e.g., GPT-4V, LLaVA, or equivalents)
• Hands-on with vector DBs, FastAPI, Redis/Postgres
• Understanding of legal/contract structure and NLP challenges

Bonus Skills

• Experience with LangGraph, AgenticX, or custom multi-agent systems
• Familiarity with multimodal fusion techniques and prompt engineering
• Knowledge of document layout analysis and long-form reasoning
• Prior work in legal tech, compliance, or enterprise contract analytics