
R&D Architect
Posted Sep 4

Posted Sep 4
This is a fully remote position, open to applicants in Poland, +4 more countries.
• Serve as a hands-on R&D Architect, merging architectural insight with robust software development expertise.
• Create and prototype AI-driven solutions and internal tools.
• Assess and incorporate OpenAI, Anthropic, and other AI platforms.
• Design and execute AI agents, prompts, MCP integrations, and ancillary services.
• Develop backend services and integrations utilizing Python and C#/.NET.
• Construct functional internal user interfaces using React/TypeScript or similar technologies.
• Architect and integrate REST APIs, webhooks, OAuth flows, and third-party services.
• Collaborate with SQL/PostgreSQL and assist in data modeling and solution design.
• Utilize AWS/Azure and CI/CD methodologies to support prototypes and production-ready applications.
• Quickly validate technical ideas, identify feasible solutions, and transform concepts into operational prototypes.
• Work alongside engineering and business stakeholders to convert requirements into scalable technical solutions.
• Excellent English communication abilities, both written and oral.
• Extensive hands-on proficiency in Python.
• Strong background in C# / .NET development.
• Familiarity with OpenAI and/or Anthropic APIs, prompt engineering, AI agents, and MCP.
• Thorough understanding of REST APIs, webhooks, OAuth, and integrations with third-party services.
• Experience with SQL/PostgreSQL and foundational data modeling skills.
• Proficient in React/TypeScript or similar technologies, with the capability to create functional internal UIs.
• Knowledge of AWS or Azure and fundamental CI/CD practices.
• Strong skills in prototyping and the ability to swiftly translate ideas into actionable solutions.
• Previous experience as a Full Stack Developer, adept at navigating the entire technology stack.
• Nice-to-haves: experience in designing AI-powered applications or internal tools.
• Nice-to-haves: experience with AI agent frameworks and Model Context Protocol (MCP).
• Nice-to-haves: experience in integrating multiple AI models and third-party services.
• Nice-to-haves: understanding of cloud-native architecture and contemporary software development practices.
• Nice-to-haves: experience in an R&D, innovation, or rapid prototyping setting.
• Competitive salary and performance-based bonuses.
• Comprehensive health and wellness benefits.
• Opportunities for professional development and continuous learning.
• Collaborative and innovative work environment.
• Flexible working hours and remote work options.
Intelance
Nightingale Education Group
Applaudo
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