[8IB] Senior Fullstack AI Engineer
About The Position
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
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
