Partner closely with prospective customers, subject matter experts, and pre-sales team members to turn ambiguous business problems into compelling, production‑inspired prototypes.
Rapidly design and build enterprise-grade MVP (Minimum Viable Product) agentic AI applications, often within days—that clearly demonstrate how AI agents can transform real business processes.
Showcase technical depth, strong UX/UI taste, and modern AI architecture, while remaining pragmatic and fast to deliver.

Requirements

8+ years of experience in software engineering, applied AI, hands-on technical consulting, or technical product roles.
Bachelor’s degree in Computer Science, Engineering, or a related field—or equivalent practical experience.
Strong hands-on experience building agentic AI applications using modern LLM frameworks and orchestration patterns.
Solid backend engineering skills (e.g., Python, Agent Skills, MCP, OpenAI Agents SDK, Claude Code, Cursor).
Experience designing and running Agent Skills, MCP servers, tool APIs, and external system integrations.
Familiarity with agent tracing, observability, logging, and evaluation techniques for AI applications.
Proficiency with React and modern frontend tooling.
Experience using shadcn/ui or similar design systems to create clean, enterprise-ready UIs.
Strong UX instincts—able to simplify complex workflows and present AI behavior transparently and confidently.
Ability to travel up to 25% in average to customer meetings, workshops, industry conferences, and events.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

software engineeringapplied AIagentic AI applicationsLLM frameworksbackend engineeringPythonMCPOpenAI Agents SDKReactshadcn/ui

Soft Skills

technical depthUX/UI tastepragmatismstrong UX instinctssimplifying complex workflowscommunication

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Engineeringequivalent practical experience