Python Full Stack Developer with Gen AI

The ideal candidate should have a solid track record of building scalable, high-performance web applications and possess a genuine interest or foundational experience in Generative AI technologies, including GitHub Copilot, LangChain, AWS Bedrock, SageMaker, LLMs, RAG architectures, vector databases, and embeddings.

Key Responsibilities:

Design, develop, and maintain robust, scalable full stack applications using Python (Backend)

Translate complex business and functional requirements into technical designs and deliver end-to-end solutions.

Collaborate with cross-functional teams including product managers, AI/ML engineers, and DevOps for seamless feature delivery.

Build and consume RESTful APIs and integrate with third-party services.

Implement responsive, user-friendly UI/UX with modern JavaScript frameworks.

Write clean, maintainable, and well-documented code following best practices.

Contribute to code reviews, performance tuning, and system architecture discussions.

Stay current with evolving technologies and propose new tools or practices to improve team productivity.

Required Skills & Qualifications:

10 years of hands-on software development experience.

Strong expertise in Python.

Deep understanding of RESTful APIs, microservices architecture, and cloud-native design.

Good Knowledge on Angular and React.

Strong experience in writing unit/integration tests and working in Agile/Scrum teams.

Exposure or working knowledge of Generative AI concepts, such as:

GitHub Copilot for AI-assisted coding

LangChain framework

AWS Bedrock and Amazon SageMaker

LLMs (e.g., Claude, GPT)

RAG (Retrieval-Augmented Generation) architecture

Vector databases (e.g., FAISS, Pinecone, pgvector)

Embeddings and semantic search