Python Developer, AI / LLM Applications

About the Role

We’re looking for a Python Developer with strong AI skills to join our team full-time, working remotely from anywhere in India. You’ll design, build and deploy AI applications using large language models (LLMs), frameworks such as LangChain and LlamaIndex, and scalable Python backends. You’ll work with AI engineers, front-end developers and stakeholders to turn ideas into reliable, production-ready AI solutions.

Key Responsibilities

• Build LLM-powered applications using LangChain, LangGraph, LlamaIndex or similar frameworks
• Design and build Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embeddings and retrieval
• Develop AI agents and multi-step workflows with tool calling and function calling
• Integrate LLM APIs such as OpenAI, Anthropic Claude and Google Gemini, as well as open-source models (Llama, Mistral, etc.)
• Work with vector databases such as Pinecone, Weaviate, ChromaDB, FAISS or pgvector
• Write, test and refine prompts to improve output quality, accuracy and cost
• Build and maintain backend APIs using FastAPI, Django or Flask to serve AI features
• Evaluate and monitor model performance, handle hallucinations, and improve response quality
• Write clean, tested and well-documented code, and take part in code reviews
• Work with stakeholders to understand requirements, estimate effort and deliver solutions on time

Requirements & Tech Stack

• Strong Python skills with solid Object-Oriented Programming and clean coding practices
• Hands-on experience with LangChain, LlamaIndex or similar LLM frameworks
• Practical experience building RAG systems and working with embeddings and vector databases
• Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, Hugging Face, etc.)
• Good understanding of prompt engineering and LLM limitations such as context windows, token costs and hallucinations
• Experience building RESTful APIs with FastAPI, Django or Flask
• Familiarity with Git, testing practices and collaborative development workflows

Qualifications

• A degree in Computer Science, Engineering, AI/ML or a related field, or equivalent practical experience

Nice to Have

• Experience with agent frameworks such as LangGraph, CrewAI, AutoGen or the Model Context Protocol (MCP)
• Knowledge of ML/DL frameworks such as PyTorch, TensorFlow or scikit-learn
• Experience with Hugging Face Transformers, fine-tuning, or running open-source LLMs locally (e.g., Ollama, vLLM)
• Familiarity with LLM evaluation and observability tools such as LangSmith, Langfuse or RAGAS
• Experience with Docker and cloud platforms (AWS, GCP or Azure)
• Basic front-end knowledge (React, JavaScript) for building AI demos and interfaces
• Experience with relational databases (PostgreSQL, MySQL) and ORM tools
• A portfolio, GitHub projects or open-source contributions in the AI/LLM space

Skills That Help You Succeed

• Strong problem-solving ability and curiosity about new AI developments
• Clear written and verbal communication
• Teamwork in cross-functional environments
• Ability to manage your own time and work independently
• Experience working in agile or iterative development