Posted 4 months ago
[8IB] Senior Fullstack AI Engineer
AI Summary
Senior Fullstack AI Engineer who builds and ships full-stack AI applications, owns their full lifecycle, and establishes measurement systems to improve AI system behavior.
About this role
[8IB] Senior Fullstack AI Engineer
We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!
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
#LI-DNI
Qualifications
● 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
Additional Information
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
Skills
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