AI Fullstack Developer

We’ve come a long way since we first opened our doors, but our mission has always stayed the same: to provide world class solutions for the travel industry. Travel Booster is a constantly improving ERP solution that frees users from the complexities of creation so they can do more, faster. We are looking for an experience (5+ years) hands-on Software Engineer who will design and implement scalable, production-ready solutions and integrate modern technologies such as LLMs, MCP, and agent-based frameworks into our platforms. In addition to driving innovation, this role will involve full-stack development for web applications and backend services, ensuring seamless integration of advanced capabilities into our existing ecosystem.

What will your job look like?

• Develop APIs and microservices for integration with internal and external systems
• Build and deploy AI-powered features using LLMs (OpenAI, Azure OpenAI, Hugging Face).
• Implement MCP-based integrations for context-aware workflows.
• Create and orchestrate AI agents for automation and intelligent decision-making.
• Write production-grade code for AI workflows, including prompt engineering, function calling, and agent orchestration.
• Integrate AI services into ERP, web apps, and backend systems.
• Evaluate and recommend AI tools, frameworks, and best practices (LangChain, LlamaIndex, MCP).
• Create orchestration layers for intelligent workflows and automation
• Drive internal education and help teams leverage AI effectively – MCP, Agents.
• Ensure AI models and agents are monitored, retrained, and optimized for performance.
• Implement CI/CD pipelines for deployments.
• Apply responsible AI principles, data privacy, and compliance standards.
  
  

• Strong experience in JavaScript/TypeScript, C#, React, and Node.js.
• At least 5 years of experience in software development using these technologies.
• Backend development experience with REST APIs, microservices, and cloud environments.
• Experience building AI agents and multi-agent systems for task automation.
• Familiarity with Model Context Protocol (MCP), and AI agent frameworks.
• Solid experience integrating LLMs into applications (OpenAI API, Azure OpenAI, open source LLMs modules).
• Experience building APIs, microservices, and scalable architectures.
• Familiarity with containerization (Docker, Kubernetes) and CI/CD.
• Knowledge of prompt engineering and integration patterns.
• Experience with fine-tuning and deploying models in production.
• Excellent interpersonal skills, Proactive, Fast learner and team player
• Knowledge in Agile and Scrum - Advantage
• Excellent English writing and verbal skills – Mandatory