Senior AI Engineer/Python Developer

Accountabilities:: Develop high-performance, scalable, and maintainable web and task servers using Python and related technologies, contributing to robust backend engineering solutions. Design and implement server architectures using Python frameworks such as Django, Flask, or FastAPI, with a focus on reliability, scalability, and maintainability. Build scheduled and asynchronous services using RQ or other task-queuing frameworks to support efficient background processing and automation. Integrate complex numerical learning, machine learning, and analysis code into web and task-processing frameworks. Work with REST APIs and microservices to support modular and scalable application architectures. Participate in software design discussions, code reviews, and architectural decisions while helping maintain high engineering standards. Create and maintain clear technical documentation covering server architecture, code, processes, and implementations. Provide technical guidance and mentorship to junior engineers, helping strengthen engineering practices and knowledge across the team. Requirements: 5–9 years of hands-on experience in Python development, with strong expertise in building production-grade software and backend systems. Strong experience with Python web frameworks, particularly Django, Flask, and/or FastAPI. Practical exposure to AI tools and technologies such as OpenAI, LangChain, Hugging Face, TensorFlow, or PyTorch. Experience designing and developing REST APIs and working within microservices architectures. Strong knowledge of databases such as PostgreSQL, MySQL, MongoDB, or comparable technologies. Familiarity with cloud platforms including AWS, Azure, or GCP. Experience using Git and CI/CD pipelines as part of modern software development workflows. Strong problem-solving, analytical, communication, and collaboration skills, with the ability to take ownership of complex technical challenges. Experience with LLMs, Generative AI, or chatbot development is a valuable advantage. Knowledge of Docker and Kubernetes, exposure to MLOps tools and workflows, and experience working in Agile/Scrum environments are considered additional strengths. Benefits: Full-time remote engineering opportunity based in India, with Bangalore identified as the primary location. Opportunity to work on high-performance, scalable backend systems while combining software engineering with AI technologies. Exposure to modern AI tools, frameworks, machine learning technologies, and automation-focused engineering practices. Opportunity to take ownership of meaningful technical projects and contribute to software architecture and engineering decisions. Collaborative environment with opportunities to mentor junior engineers and exchange knowledge with diverse technical perspectives. Professional growth through work across Python, cloud platforms, microservices, CI/CD, databases, and AI-enabled systems. Support and mentorship designed to help experienced engineers continue learning and developing their technical expertise.