Senior Frontend AI Engineer
Senior Frontend Developer (AI Tech Enablement)
Role Summary:
We are seeking a visionary Senior UI Developer to join our Technology Enablement team. In this role, you will bridge the gap between world-class user interface design and cutting-edge Artificial Intelligence. You will be responsible for building high-quality, responsive web applications while leading the integration of AI/ML capabilities—specifically through expert prompt engineering and agentic workflows—to enhance internal operations and customer experiences.
Key Responsibilities
AI-Driven UI Development: Design and implement sophisticated user interface components for AI-enabled applications using frameworks like or Angular.
Prompt & Context Engineering: Design, test, and optimize complex prompts for Large Language Models (LLMs) to ensure reliable, high-quality, and contextually aware outputs.
AI Enablement: Transform theoretical AI/ML concepts into practical, value-driven solutions that improve operational efficiency and "future-proof" the technology stack.
Agentic Orchestration: Develop and maintain AI workflows, including multi-agent systems and Retrieval-Augmented Generation (RAG) pipelines, to solve complex business problems.
Technical Leadership: Mentor junior developers in AI best practices and modern front-end architectures (e.g., Micro Frontends, CI/CD).
Collaboration: Partner with Product Managers, Data Scientists, and AI Researchers to align user needs with evolving AI behaviors.
Required Skills & Qualifications
Experience: 5+ years in front-end development with a strong focus on or similar modern frameworks.
Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field.
AI Mastery: Proven hands-on experience with LLM APIs (OpenAI, Anthropic Claude), LangChain, and prompt engineering techniques.
Technical Stack:
Languages: Expert-level JavaScript (ES6+), TypeScript, and Python.
UI/UX: Proficiency in HTML5, CSS3/SASS, and design tools like Figma or Adobe Creative Cloud.
AI Tools: Familiarity with Agent Orchestration, Autogen, Semantic Query, and MCP (Model Context Protocol) tools.
Cloud Infrastructure: Experience developing and deploying applications on Microsoft Azure or similar cloud platforms.
Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field.
How we work
BrightEdge is an equal opportunity employer and is committed to building a diverse and inclusive workplace. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected status.
If you’re excited about this role but don’t meet every qualification, we encourage you to apply. Imposter syndrome can hold great candidates back, and we believe potential and willingness to learn matter just as much as checking every box. We value diverse perspectives, experiences, and ways of thinking, and we’re committed to building a team where everyone feels they belong and can do their best work.