Sr. Full Stack Engineer - Python & React

REQUIREMENTS
Participate in technical planning & requirements gathering phases including Design, code, test, troubleshoot, and document engineering software applications.
Ensuring that technical software development process is followed on the project, familiar with industry best practices for software development.
Design, develop, and maintain modern web applications using ReactJS, TypeScript, and contemporary frontend frameworks.

Collaborate with Product Managers, UX designers, Architects, and Engineering teams to deliver high-quality digital experiences.

Develop and integrate backend services and APIs using technologies such as Python, FastAPI, Flask, or similar frameworks.

Build AI-enabled user experiences and workflows by integrating Generative AI, LLMs, copilots, intelligent search, and automation capabilities into business applications.

Apply an AI-first engineering mindset to identify opportunities for productivity improvement, intelligent process automation, and enhanced customer experiences.

Create reusable components, design patterns, and engineering standards that improve development efficiency and maintainability.

Collaborate with Data & Analytics teams to integrate insights, machine learning models, and data-driven decision-making capabilities into applications.

Ensure application performance, scalability, accessibility, security, and reliability.

Support CI/CD pipelines and DevOps practices to streamline deployments and improve engineering productivity.

Participate in technical discussions, code reviews, and architectural recommendations.

Mentor junior engineers and contribute to a culture of continuous learning and innovation.

Evaluate emerging technologies, AI tools, and engineering practices to recommend improvements and drive innovation.

PREFERRED QUALIFICATIONS INCLUDE

Strong consulting and communication skills. Ability to work effectively with various organizations in pursuit of problem solutions.
8+ years of professional software engineering experience with a strong record of delivering enterprise applications.

Experience working with RAG and LLM required

Experience with AI agents and workflow automation, AI Orchestrators such as Claude Cowork to accelerate SDLC required.

Experience with Prompt Engineering

Deep expertise in ReactJS, TypeScript/JavaScript and HTML5/CSS3

Modern frontend architecture and design patterns

Experience developing backend services using Python, RESTful APIs and Microservices architecture

Experience integrating applications with cloud platforms such as Azure, AWS, or Google Cloud.

Knowledge of CI/CD, Git, automated testing, and Agile development practices.

Strong understanding of performance optimization, and security best practices.

Strong debugging, problem solving and investigative skills. Ability to assimilate disparate information (log files, error messages etc.) and pursue leads to find root cause problems

Ability to work independently in a fast-paced, product-oriented environment.

Strong consulting and communication skills. Ability to work effectively with various organizations in pursuit of problem solutions

Experience with GCP Platform, GraphQL, FastAPI, Docker and Kubernetes would be considered a plus