[8IB] Senior Fullstack AI Engineer at Software Mind

San José, , Costa Rica -

Full Time

Start Date

Immediate

Expiry Date

29 Jul, 26

Salary

0.0

Posted On

30 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Fullstack Development, Artificial Intelligence, Machine Learning, JavaScript, Python, PHP, React, Vue, Angular, Svelte, SQL, NoSQL, LLMs, API Development, System Architecture, Agentic Frameworks

Industry

IT Services and IT Consulting

Description

Company Description 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! Job Description 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

Responsibilities

You will build and ship full-stack AI applications, managing the entire lifecycle from initial concept to production deployment. Additionally, you will develop foundational infrastructure, including search services and intelligent agents, while establishing feedback loops to optimize system performance.