Walk-in || Python / AI Backend Developer

You will be responsible for building scalable backend systems, APIs, data-processing workflows, and AI-powered applications. We are looking for someone who can understand product requirements, solve technical problems independently, and take ownership of development from implementation to deployment. Key Responsibilities Develop and maintain scalable backend applications using Python. Build REST APIs, background jobs, asynchronous services, and data-processing pipelines. Develop backend systems for AI-powered products, automation tools, and data-driven applications. Work with structured and unstructured datasets and optimize data-processing workflows. Design and manage PostgreSQL databases and write efficient SQL queries. Integrate LLMs, AI APIs, machine learning models, vector databases, and third-party services. Build and maintain Docker-based development and deployment environments. Improve application performance, reliability, security, and scalability. Debug technical issues and deliver production-ready solutions. Collaborate with frontend and product teams and support full-stack integration when required. Required Technical Skills Minimum 2 years of professional Python development experience. Strong knowledge of Python, OOP, data structures, and algorithms. Hands-on experience with FastAPI, Django, Flask, or similar backend frameworks. Strong knowledge of PostgreSQL, relational databases, and SQL optimization. Experience building and integrating REST APIs. Hands-on experience with Docker and Docker Compose. Experience processing and manipulating data using Pandas, NumPy, Polars, PySpark, or similar tools. Understanding of asynchronous programming, background jobs, and task-processing systems. Experience with Git, GitHub, and Linux-based environments. Strong debugging, analytical, and problem-solving skills. AI & Advanced Development Experience Practical exposure to one or more of the following is preferred: Generative AI and Large Language Models (LLMs) OpenAI, Anthropic, Gemini, or open-source model APIs RAG (Retrieval-Augmented Generation) AI agents and tool-calling workflows Prompt engineering and structured AI outputs Embeddings and semantic search Vector databases such as Pinecone, Qdrant, Weaviate, Chroma, Milvus, or pgvector NLP and machine learning model integration AI-powered automation and workflow development Recommendation, ranking, matching, or classification systems Full-Stack Exposure The role is primarily backend-focused; however, basic experience with the following will be an advantage: JavaScript / TypeScript React / Next.js Frontend and backend API integration Authentication and authorization Dashboard development HTML and CSS .

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