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Enphase Energy is a global energy technology company and a leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, our innovative microinverter technology revolutionized solar power, making it a safer, more reliable, and scalable energy source. Today, the Enphase Energy System enables users to make, use, save, and sell their own power. Enphase is also one of the most successful and innovative clean energy companies in the world, with more than 80 million products shipped across 160 countries. Join our dynamic teams designing and developing next-gen energy technologies and help drive a sustainable future!
Requirements:
Motivated Full-Stack Developer with 4 to 7 years of experience developing web applications using modern frontend and backend technologies
Passionate about building clean, responsive user interfaces and working in collaborative Agile environments
Contributed to full-stack web application development using React, Node.js, and Python
Designed and consumed RESTful APIs, including AI-enabled services
Designed, built, and integrated Generative AI features using AWS Bedrock into production applications
Implemented LLM-powered workflows such as summarization, intelligent search, content generation, and user assistance
Applied prompt engineering techniques and iterative tuning to improve response quality and reliability
Participated in code reviews and architecture discussions, including AI-driven design decisions
Assisted in performance optimization, including latency and cost optimization for AI workloads
Collaborated with QA and DevOps teams to deploy AI and non-AI services through CI/CD pipelines
Wrote unit tests and followed version control best practices using Git
Maintained documentation and tracked AI-related enhancements using JIRA and Confluence
Frontend - React.js, HTML5, CSS3, JavaScript
Backend - Node.js and/or Python
Express.js, RESTful and AI-backed APIs
Cloud & AI - Amazon Web Services (AWS)
Hands-on experience with Amazon Bedrock in production use cases
Experience working with foundation models (e.g., Titan, Claude)
Strong understanding of prompt engineering, model behavior, and response evaluation
Knowledge of AI security, IAM-based access control, and data privacy considerations
Databases - MySQL, SQL
DevOps & Tooling - Git, GitHub / GitLab, Postman
CI/CD pipelines (Jenkins, GitHub Actions or similar)
Methodologies - Agile, Scrum
Test-Driven Development (TDD)
Ability to apply Generative AI thoughtfully to solve real business problems
Comfortable integrating AI services into existing enterprise applications
Strong collaboration skills with product, QA, and DevOps teams
Continuously learning and adapting to rapidly evolving GenAI technologies