Senior Fullstack Engineer

Our client is looking for a Senior Fullstack Engineer to join our Agentic AI team. You’ll help build our AI capabilities from the ground up, designing and shipping tools, services, and intelligent agents that power AI experiences across our entire product ecosystem. What You’ll Do Build and ship full-stack AI applications: Create frontend experiences and backend systems that power real AI capabilities, iterating based on performance and user feedback Own the full lifecycle: Take projects from idea through production deployment, ensuring quality, reliability, and scalability Build foundational infrastructure: Develop search/retrieval services, tool execution layers (MCP servers), workflows, and intelligent agents Establish measurement systems: Create feedback loops and performance tracking to continuously improve AI system behavior Solve complex problems: Debug issues across the stack, identify root causes, and implement robust solutions

Artificial Intelligence (AI), Ecosystems, Artificial Intelligence (AI) Agents, Project Lifecycle, MCP - Microsoft Certified Professional, Software Agents, Performance Analysis, Continuous Improvement, Problem Solving Skills, Root Cause Analysis, Foundation (Required): 5+ years shipping production code (frontend and backend) Strong programming fundamentals: We’ll primarily use JavaScript, Python and PHP, but value problem-solving skills over specific language expertise Backend development experience: Building workflows, APIs, state management, and async systems Database knowledge: Working with both SQL and NoSQL databases Frontend skills: Building responsive interfaces with modern frameworks (React, Vue, Angular, Svelte, etc.) Experience applying AI/ML in production: You’ve worked with LLMs or ML models in real applications, not just tutorials Working Style: Ownership mindset: You identify problems, take initiative, and see things through Pragmatic and adaptable: You choose the right tool for the job and aren’t afraid to learn new technologies Systematic problem-solver: You can debug complex systems and think through tradeoffs Good to Have: Knowledge of AI evaluation, error analysis, and building feedback loops Experience with agentic frameworks (LangGraph, Google ADK) or Model Context Protocol (MCP) Background in information retrieval or search systems