AI Engineer - Full Stack
About The Position
We are seeking a talented AI Engineer - Full Stack to design and develop highly interactive modern AI native UI/UX and backends powered by AI Agents/LLMs. In this role, you will collaborate with product engineers, UX designers, AI engineers, backend developers and platform engineers to create seamless front-end experiences that enhance the functionality and experience of our AI Agents. Your work will directly impact how users interact with AI-native systems, enabling experiences that range from AI-assisted productivity and real-time human-agent collaboration to autonomous Agents with human-in-the-loop guidance, feedback, and steering. This position is part of the AI Center of Excellence (AI COE), a shared-services organization responsible for delivering reusable AI assets/modules (including SDKs, to APIs, Horizontal Agents, and SaaS platform) for the enterprise that enables Agentic AI adoption across business functions, operations, support organizations, and core enterprise processes.
Requirements
- Bachelor's or Master’s degree in computer science, Engineering, or related field.
- 3+ years of professional experience in building modern web applications using React or comparable front-end frameworks.
- 3+ years of solid experience in Python-based web development using frameworks such as FastAPI, Flask, or similar libraries.
- Strong programming/scripting skills in Python (Asyncio/Pydantic), HTMX, JavaScript, TypeScript, HTML, and CSS.
- Hands-on Experience with Jinja2, Tailwind CSS or similar templating/styling tools/technology.
- Experience working with Figma, including interpreting designs, collaborating with designers, and translating UI/UX specifications into implementation.
- Strong understanding of RESTful APIs, event-driven architectures, webhooks and real-time data integration (websockets).
- Experience integrating UI frontend with ADK Agents, A2A and MCP.
- Solid understanding of UI/UX best practices, including designing for AI-Native interfaces (HITL, time travel, checkpointing, real-time steering ).
- Experience building web applications with WCAG accessibility standards.
- Experience designing user workflows, multipart forms, validations, auto complete and error-handling best practices.
- Exposure to containerized environments using Docker, Kubernetes, and CI/CD delivery pipelines.
- Familiarity with middleware and modern web frameworks such as Nginx, Next.js or similar.
- Experience developing and maintaining clean, reliable, and production-ready code, with a strong commitment to coding standards, testing, documentation, and engineering best practices.
- Result oriented, demonstrating ownership, accountability, and urgency in delivering business outcomes.
- Candidate must be authorized to work in the US without company sponsorship.
- The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Nice To Haves
- Familiarity with Deep Learning, LLMs, AI Agents, and AI Chatbots.
- Familiarity with AGUI, CopilotKit, A2UI and WebMCP.
- Experience with interactive data visualization, D3.js or advanced UI animations.
- Knowledge of prompt/context engineering, harness engineering and semantic layer.
Responsibilities
- Design and develop interactive AI native front-end applications powered by AI Agents/LLMs.
- Create intuitive, AI-native user experiences that enable seamless interaction, collaboration, and control across Agentic AI systems and autonomous workflows.
- Partner with AI engineering / Data Science teams to integrate APIs, event driven (SSE),polling, webhooks and/or similar features.
- Prototype, design and implement modern Agentic UX standards, protocols and ideas , Ex. Elicitation, UX negotiation and A2UI compliant Apps.
- Build full stack AI Agents with Google ADK implementing advanced features like A2A, AAIF, A2UI, Agent skills, and MCP.
- Research and adopt modern full-stack technologies, Agentic UX innovations, and front-end best practices.
- Perform testing, debugging, optimization, and performance tuning to ensure high-quality user experiences.
- Partner with product managers, UX designers, and AI architects to translate business requirements into production-ready solutions.
Benefits
- short-term or annual bonuses
- long-term incentives
- on-the-spot recognition
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
