Python Full-Stack Lead Developer

Overview

• Role: Technical Lead – Python Full-Stack Developer with AI Skills
• Skills: Python Full-Stack Development, Python Frameworks, LLM-based features, AI/ML and Generative AI, Cloud Platform
• Experience: 13+ years
• Location: Houston, TX (Hybrid Model)

We at Coforge are seeking an experienced Technical Lead – Python Full-Stack Developer with AI Skills who can design, build, and scale modern web applications enhanced with AI capabilities. The ideal candidate has strong experience across backend and frontend development
, combined with practical exposure to AI/ML and Generative AI
, applied to real-world business use cases.

You will lead technical design, mentor teams, and work closely with customers and stakeholders to deliver secure, scalable, and high-performance full-stack solutions powered by Python and AI technologies.

• Overall 13+ Yrs of experience in IT and 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
  .
• 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 Lang Chain, Llama Index, Haystack
  , or equivalent.
• Deploy applications and AI services on Azure, AWS, or GCP
  , leveraging managed AI and cloud services.
• Ensure application security, performance, scalability, and reliability across frontend, backend, and AI components.
• Collaborate with Dev Ops 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.