Lead/Architect Python with GenAI

Lead/Architect Python with GenAI

Location: Hybrid in Charlotte, NC

Duration: 8 months with possible extension

Years of experience: 12-13 preferred

**Must have good leadership skills and experience along with strong coding skills**

Top 3 Skills Required:

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

Job Description:

Strong understanding of GenAI and large language models (LLMs).

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.

Years of Experience: 11.00 Years of Experience