AI ML Engineer (LLM,Python)

Mantras2Success; Gandhinagar; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Mantras2Success is seeking an AI Engineer in Gujarat to build production-ready AI applications for accounting products. You will develop Python-based LLM solutions, RAG pipelines, and AI agents, integrating OpenSearch/Qdrant and vector databases.

The role includes deploying via Docker and AWS, creating REST APIs, and ensuring robust performance and accuracy. Candidates should have 3+ years in Python AI/ML, experience with LangChain or LangGraph, and solid familiarity with CI/CD, testing, and

Qualifications

• 3+ years of Python development and AI/ML engineering.
• Hands-on with LLMs, Generative AI, prompt engineering, and RAG.
• Experience with LangChain, LangGraph, or similar frameworks.
• Knowledge of vector databases (OpenSearch, Elasticsearch, Qdrant).
• Experience with FastAPI/Flask, REST APIs, Docker, and AWS.
• Familiarity with Git, CI/CD, testing, and debugging.

Responsibilities

• Develop and deploy AI/LLM-powered applications using Python.
• Build and optimize RAG pipelines using embeddings and vector search.
• Integrate commercial and open-source LLMs into production apps.
• Develop AI agents and automated workflows using LangChain, LangGraph, or similar.
• Implement document classification, OCR, information extraction, and validation workflows.
• Develop REST APIs and integrate AI services with databases and cloud applications.
• Deploy and maintain AI solutions using Docker and AWS.
• Evaluate model accuracy, retrieval quality, latency, and cost.
• Troubleshoot production issues and collaborate with engineering, product, and QA teams.

Skills

Python

AI/ML engineering

LLMs

Generative AI

Prompt engineering

LangChain

LangGraph

REST APIs

Docker

AWS

Vector databases

OpenSearch/Elasticsearch

Qdrant

Git

CI/CD

Tools

FastAPI

Flask

Docker

AWS

Git

SQL databases

MongoDB

OpenSearch/Elasticsearch

Qdrant

Job description

Job Summary

We are looking for an AI Engineer with hands-on experience in Python, LLMs, and Generative AI to develop intelligent automation solutions for accounting products. The role involves building RAG pipelines, AI agents, document processing solutions, and production-ready AI applications.

Key Responsibilities

• Develop and deploy AI/LLM-powered applications using Python.


• Build and optimize RAG pipelines using embeddings, vector search, hybrid search, and reranking.


• Integrate commercial and open-source LLMs into production applications.


• Develop AI agents and automated workflows using LangChain, LangGraph, or similar frameworks.


• Implement document classification, OCR, information extraction, and validation workflows.


• Develop REST APIs and integrate AI services with databases and cloud applications.


• Deploy and maintain AI solutions using Docker and AWS.


• Evaluate model accuracy, retrieval quality, hallucinations, latency, and cost.


• Troubleshoot production issues and collaborate with engineering, product, and QA teams.

Required Skills & Qualifications

• 3+ years of experience in Python development and AI/ML engineering.


• Hands-on experience with LLMs, Generative AI, prompt engineering, and RAG.


• Experience with LangChain, LangGraph, or similar frameworks.


• Knowledge of OpenSearch, Elasticsearch, Qdrant, or other vector databases.


• Experience with FastAPI, Flask, REST APIs, SQL databases, Docker, and AWS.


• Familiarity with Git, CI/CD, testing, and application debugging.


• Strong analytical and problem-solving skills.

Good to Have

• Experience with vLLM, Llama, Gemma, or other open-source LLMs.


• Knowledge of AI agents, tool calling, fine-tuning, and inference optimisation.


• Exposure to PDF processing, OCR, and structured data extraction.


• Experience with accounting, financial documents, audit automation, or compliance applications.


• Basic knowledge of DocumentDB or MongoDB.