AI/ML Engineer (Python + LLM)
This role focuses on designing and deploying production-grade LLM-based chatbot solutions with retrieval-augmented generation, emphasizing prompt optimization and model performance tuning. The engineer will bridge Python development, API scalability, and structured/unstructured data workflows for enterprise-grade applications.
Skills required
About this role
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.
