AI/ML Engineer (Python + LLM)
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Before you apply
LocationHyderabad, Telangana
SeniorityMid
Experience4–8 yrs
Company size1,001–5,000 people
PostedMay 18, 2026 · 5mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Strong hands-on experience in Python development, building data-driven applications, creating APIs, debugging, testing, and deploying production-ready solutions
Experience in developing data-based chatbots using Large Language Models, Retrieval-Augmented Generation, and structured/unstructured data sources
Hands-on experience with LLM workflows including prompt engineering, fine-tuning, model evaluation, response quality analysis, and performance optimization
Strong experience in data processing and preprocessing using Python libraries such as Pandas, NumPy, and other relevant data-handling frameworks
Experience in FastAPI and REST API development, including creating, consuming, testing, and maintaining scalable APIs
Ability to design and build backend services that interact with databases, vector stores, external APIs, and other data sources
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
Ability 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
Ability to debug and optimize applications for performance, reliability, and scalability
Basic knowledge of frontend technologies and ability 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
Experience in LLM evaluation frameworks, test datasets, automated evaluation pipelines, and quality benchmarking
Exposure to microservices-based architecture and backend application design
Skills
Python
FastAPI
REST APIs
LLMs
RAG
Pandas
NumPy
Pytest
Docker
LangChain
LangGraph
OpenAI APIs
HuggingFace APIs
Vector Databases
SQL
NoSQL
CI/CD
AI/ML Engineer (Python + LLM)1
Key Responsibilities:
Experience - 4-8 years.
Location - Hyderabad preferred
Hiring process
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.