Python Fullstack Developer

About Indium Software

Indium Software is a global AI-driven digital engineering company with over 25 years of experience. Headquartered in Cupertino, California, we have significant delivery centers in Chennai, Bengaluru, Hyderabad, Mumbai, and Pune, along with a presence in six other countries. With a team of over 5,000 engineers, we collaborate with Fortune 500 enterprises and emerging tech startups to accelerate innovation. Our primary services encompass Data & Generative AI, Product Engineering, Intelligent Automation, Quality Engineering, and Gaming (iXie). We have achieved a 40% CAGR in the last five years, supported by EQT for our global expansion initiatives. Our recent acquisition of a majority stake in Experion has further bolstered our product engineering capabilities. Recognized as a Great Place to Work, Indium cultivates an environment of continuous learning and adoption of cutting-edge technologies, positioning us as a leader in AI-first digital transformation.

Role Overview

We are seeking a skilled Full Stack Python Developer to join our team in Hyderabad. This role involves developing and deploying scalable AI/ML applications and APIs, with a focus on leveraging Large Language Models (LLMs) and Generative AI technologies. You will be instrumental in building enterprise-grade AI solutions, integrating them with existing systems, and contributing to our innovative projects.

Key Responsibilities

• Develop and maintain scalable AI/ML applications and APIs using Python.
• Implement and integrate Large Language Models (LLMs) such as GPT, Azure OpenAI, Claude, or Llama.
• Build enterprise-level Generative AI applications, including chatbots, document intelligence tools, knowledge assistants, and workflow automation solutions.
• Apply practical knowledge of Retrieval-Augmented Generation (RAG), prompt engineering, embeddings, and vector databases.
• Utilize AI orchestration frameworks like LangChain or LangGraph for developing AI solutions.
• Contribute to the understanding and application of machine learning fundamentals, model evaluation, and AI solution lifecycle management.
• Integrate AI solutions with enterprise systems and business applications via APIs and microservices.
• Manage and process data using SQL, working with both structured and unstructured datasets.
• Utilize containerization technologies like Docker and adhere to CI/CD practices.
• Collaborate effectively with cross-functional teams, applying strong analytical and problem-solving skills.

Additional Information

This is a hybrid role based in Hyderabad.