Python Full-Stack Developer with AI Skills

Key Responsibilities

• 6 10 years of experience in full-stack software development, with strong expertise in Python.
• Design and develop end-to-end web applications, covering backend, frontend, and integrations.
• Build scalable backend services, APIs, and microservices using Python frameworks such as Django, Flask, or FastAPI.
• Develop responsive and user-friendly frontend applications using React, Angular, or similar modern JavaScript frameworks.
• Translate business requirements into well-architected full-stack solutions, incorporating AI features where applicable.
• Design, build, and integrate AI/ML and Generative AI capabilities into applications (e.g., intelligent search, chat, recommendations, automation).
• Implement LLM-based features, including prompt engineering, embeddings, retrieval pipelines, and fine-tuning.
• Build and optimize RAG (Retrieval-Augmented Generation) systems using vector databases such as FAISS, Pinecone, PGVector, etc.
• Integrate open-source and commercial LLMs (e.g., GPT, Claude, LLaMA, Mistral) into full-stack applications.
• Work with AI orchestration frameworks like LangChain, LlamaIndex, Haystack, or equivalent.
• Deploy applications and AI services on Azure, AWS, or Google Cloud Platform, leveraging managed AI and cloud services.
• Ensure application security, performance, scalability, and reliability across frontend, backend, and AI components.
• Collaborate with DevOps teams using Docker, Kubernetes, and CI/CD pipelines.
• Define and maintain technical documentation, architecture diagrams, and design specifications.
• Lead code reviews, mentor developers, and drive best practices across full-stack and AI development.
• Communicate effectively with technical and non-technical stakeholders and contribute to architectural decisions.
• Demonstrate strong problem-solving skills and a passion for innovation.