8IB] Senior Fullstack AI Engineer
Role details
Job location
Tech stack
Job description
- 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 #LI-DNI
Requirements
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5+ years shipping production code (frontend and backend)
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Strong programming fundamentals: We'll primarily use JavaScript, Python and PHP, but value problem-solving skills over specific language expertise
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Backend development experience: Building workflows, APIs, state management, and async systems
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Database knowledge: Working with both SQL and NoSQL databases
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Frontend skills: Building responsive interfaces with modern frameworks (React, Vue, Angular, Svelte, etc.)
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Experience applying AI/ML in production: You've worked with LLMs or ML models in real applications, not just tutorials, * Ownership mindset: You identify problems, take initiative, and see things through
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Pragmatic and adaptable: You choose the right tool for the job and aren't afraid to learn new technologies
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Systematic problem-solver: You can debug complex systems and think through tradeoffs Good to Have:
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Knowledge of AI evaluation, error analysis, and building feedback loops
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Experience with agentic frameworks (LangGraph, Google ADK) or Model Context Protocol (MCP)
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Background in information retrieval or search systems
Benefits & conditions
+, $70,000-90,000 per year
