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Aligned Automation is seeking an experienced Full Stack Python Developer in Pune. The role focuses on backend development with Python and FastAPI, frontend with React, and containerized deployments using Docker and Kubernetes.
You will build scalable applications, design RESTful APIs, and work with PostgreSQL, Redis, and RabbitMQ. Experience with LLMs and prompt engineering is highly valued, with LangChain/GraphSmith exposure a plus.
At Aligned Automation, we live by our \"Better Together\" philosophy to build a better world. As a strategic service provider to Fortune 500 companies, we help digitize enterprise operations and drive impactful business strategies. Our purpose goes beyond projects—we strive to deliver meaningful, sustainable change that shapes a more optimistic and equitable future.
Our culture is deeply rooted in our 4Cs—Care, Courage, Curiosity, and Collaboration—ensuring that each employee is empowered to grow, innovate, and thrive in an inclusive workplace.
At Aligned Automation, we live by our \"Better Together\" philosophy to build a better world. As a strategic service provider to Fortune 500 companies, we help digitize enterprise operations and drive impactful business strategies. Our purpose goes beyond projects—we strive to deliver meaningful, sustainable change that shapes a more optimistic and equitable future.
Our culture is deeply rooted in our 4Cs—Care, Courage, Curiosity, and Collaboration—ensuring that each employee is empowered to grow, innovate, and thrive in an inclusive workplace.
Years of Experience: 3 to 8 Years
We are looking for an experienced Full Stack Python Developer with strong expertise in backend development using Python and FastAPI, frontend development using React, and containerized application deployment using Docker and Kubernetes.
The ideal candidate should have hands‑on experience building scalable, high-performance applications, developing RESTful APIs, working with databases and messaging systems, and implementing CI/CD pipelines.
Additionally, the candidate should have practical experience using Large Language Models (LLMs), particularly in prompt engineering and integrating AI‑powered capabilities into applications. Exposure to frameworks such as LangChain, LangGraph, LangSmith, and Model Context Protocol (MCP) would be an added advantage.