AI/ML Engineer (Python + LLM)

Key Responsibilities:

Experience - 4-8 years.

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.