AI/ML Engineer (Python + LLM)
Jade Global Open · verified Oct 22, 2026 At a glance
Mid-level Machine Learning Engineering role at Jade Global. Hyderabad · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build production Python applications and APIs, then debug, test and deploy them
- Create chatbots that draw on large language models and structured or unstructured data
- Shape prompts, fine-tune models, assess response quality and improve performance
- Prepare data for AI workflows, including cleaning, transformation, chunking and embeddings
- Connect backend services to databases, vector stores, external APIs and other data sources
What you bring
- Four to eight years of experience, with strong hands-on Python development
- Practical experience building data-driven chatbots with LLMs and RAG
- Experience developing and maintaining FastAPI and REST services
- You can test Python systems with Pytest or a similar framework and deploy applications or AI services
- Strong data-processing skills, including preparation of data for chatbot workflows
Who this fits
This mid-level role suits someone who can work independently across AI/ML, data and backend engineering. Hyderabad is the preferred location, and customer interviews are part of the process.
From the employer
Key Responsibilities:
Experience - 4-8 years.
Location - Hyderabad preferred
Customer Interview - Yes
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.
Must-Have Skills:
Python, FastAPI, REST APIs, Data Processing, Data Preprocessing, LLMs, Data-Based Chatbots, Fine-Tuning, LLM Evaluations, Pytest, API Testing, Deployment.
Good-to-Have Skills:
Frontend basics, Microservices, Vector Databases, RAG pipelines, Docker, Cloud Deployment, SQL/NoSQL Databases, CI/CD, LangChain/LangGraph, OpenAI/HuggingFace APIs.