AI/ML Engineer (Python + LLM)

Jade Global Software Pvt LTD; Hyderabad; On-site; INR 800,000 - 1,800,000; Full time

Benefits offered by this job

Health-related policies

Leave donation policy

Job summary

Jade Global Software Pvt LTD in Hyderabad is looking for an experienced AI/ML Engineer skilled in Python, with a strong focus on large language models. The role involves developing data-driven applications, creating and maintaining scalable APIs, and working independently on AI/ML projects.

Ideal candidates will have 4-8 years of experience and a rigorous understanding of LLM workflows, coupled with solid Python programming skills. Benefits include comprehensive health policies and a leave donation policy.

Qualifications

• 4-8 years of experience in AI/ML engineering, primarily focused on Python.
• Strong experience in building data-driven applications and APIs.
• Hands-on experience with LLM workflows and building data-based chatbots.

Responsibilities

• Develop and deploy AI/ML services and backend solutions using Python.
• Create and maintain scalable APIs with FastAPI.
• Evaluate and optimize LLM performance and workflows.

Skills

Python

FastAPI

REST APIs

Data Processing

Data Preprocessing

LLMs

Data-Based Chatbots

Fine-Tuning

LLM Evaluations

Pytest

API Testing

Deployment

Tools

Docker

SQL/NoSQL Databases

Cloud Deployment

Job description

Job Overview

AI/ML Engineer (Python + LLM)
Experience: 4-8 years.
Location: Hyderabad (preferred).
Customer interview: Yes.

Key Responsibilities

• Strong hands‑on experience in Python development, building data‑driven applications, creating APIs, debugging, testing, and deploying production‑ready solutions.
• Must have experience in developing data‑based chatbots using Large Language Models, Retrieval‑Augmented Generation, and structured/unstructured data sources.
• Must have hands‑on experience with LLM workflows including prompt engineering, fine‑tuning, model evaluation, response quality analysis, and performance optimization.
• Should have strong experience in data processing and preprocessing using Python libraries such as Pandas, NumPy, and other relevant data‑handling frameworks.
• Must have experience in FastAPI and REST API development, including creating, consuming, testing, and maintaining scalable APIs.
• Should be able to design and build backend services that interact with databases, vector stores, external APIs, and other data sources.
• Having experience in LLM evaluation frameworks, test datasets, automated evaluation pipelines, and quality benchmarking will be highly preferred.
• Should have hands‑on experience in writing unit tests, integration tests, and API tests using Pytest or similar Python testing frameworks.
• Experience in deployment of Python applications, APIs, and AI/ML services on cloud or server environments.
• Should be able to write efficient, reusable, testable, and scalable Python code following best development practices.
• Good understanding of data cleaning, transformation, chunking, embedding generation, and preparation of data for chatbot or AI/ML workflows.
• Exposure to microservices‑based architecture and backend application design will be preferred.
• Ability to debug and optimize applications for performance, reliability, and scalability.
• Should have basic knowledge of frontend technologies and be able to collaborate with frontend developers for integrating APIs into web applications.
• Ability to integrate multiple data sources into a unified chatbot or AI‑driven system.
• Good problem‑solving skills with the ability to work independently on AI/ML, data, and backend engineering tasks.

Required Skills

• Python
• FastAPI
• REST APIs
• Data Processing
• Data Preprocessing
• LLMs
• Data‑Based Chatbots
• Fine‑Tuning
• LLM Evaluations
• Pytest
• API Testing
• Deployment

Desired Skills

• Front‑end basics
• Microservices
• Vector Databases
• RAG pipelines
• Docker
• Cloud Deployment
• SQL/NoSQL Databases
• CI/CD
• LangChain/LangGraph
• OpenAI/HuggingFace APIs

Benefits

• Health‑related policies
• Leave donation policy