Senior Python Developer - Gen AI

Job Title*: Senior Python Developer with GenAI
Hire type*: Full-Time
Work Experience*: 10 to 15 Years
Interview Mode*: MS Teams

*******NO C2C or C2H*******
*******NO C2C or C2H*******
*******NO C2C or C2H*******

Role Summary*: The Senior Python Developer with GenAI will lead the development of scalable web applications using Python, AWS, and Angular, while leveraging AWS Bedrock for GenAI and LLM integration*. This role requires strong leadership and technical expertise in building backend systems, designing APIs, and creating high-performance user interfaces*. The candidate will also manage data models, troubleshoot complex issues, and collaborate within an agile team to drive innovation and maintain code quality*.

Must Have*: Need a strong technical candidate with good experience in Coding*. Must have good leadership skills and experience, along with strong coding skills*. Python, AWS, Angular Strong development experience and knowledge*. Knowledge of AWS Bedrock to integrate and utilize various foundation models*. Should have a strong understanding of GenAI algorithms and LLM models, and techniques*. Strong understanding of GenAI and large language models (LLMs) *.

Responsibilities*: Lead the full lifecycle development of web applications, from conceptualization and design to implementation, testing, deployment, and maintenance*. Architect and develop robust and scalable backend systems using Python and relevant frameworks (e.g., Django, Flask) *. Design and implement intuitive and high-performance user interfaces using Angular and modern front-end technologies*. Leverage AWS Bedrock to integrate and utilize various foundation models for tasks such as natural language processing, text generation, and more*. Design, develop, and implement agentic systems, including planning, reasoning, tool usage, and memory management, to automate complex workflows and enhance application intelligence*. Develop and maintain APIs (RESTful, GraphQL) to facilitate communication between front-end and back-end systems, as well as integration with external services*. Design and manage data models and databases (both relational and NoSQL) to support application requirements*. Write clean, well-documented, and testable code following best practices and coding standards*. Collaborate effectively with product managers, designers, data scientists, and other engineers in an agile development environment*. Participate in code reviews to ensure code quality and knowledge sharing*. Troubleshoot and debug complex issues across the full stack*. Stay up to date with the latest advancements in Angular, Python, cloud technologies (especially AWS), large language models, and agentic systems*. Contribute to technical documentation and knowledge sharing within the team*.