Master AI Developer

Accountabilities:

• • Lead the end-to-end technical development of new features, translating high-level business requirements into robust technical architectures and production-ready solutions.
  • Design, develop, deploy, monitor, and continuously improve AI agents and frameworks capable of automating complex workflows.
  • Build and maintain scalable backend and frontend components that support AI-powered applications and solutions.
  • Develop AI-driven solutions using LLMs, RAG, prompt and context engineering, and multi-agent architectures.
  • Implement comprehensive automated testing strategies, including unit, integration, and end-to-end testing designed to address the non-deterministic nature of AI outputs.
  • Build and maintain reliable CI/CD pipelines, ensuring fast, stable, and low-risk software releases.
  • Work with containerization and cloud infrastructure to deploy and scale AI-enabled applications effectively.
  • Serve as a primary technical point of contact for international clients, translating technical concepts and requirements into effective solutions.
  • Continuously research and evaluate emerging AI tools, frameworks, and development methodologies to improve engineering productivity and product performance.
  • Lead and collaborate within a dedicated engineering cell, fostering an iterative, agile approach to software and AI development.

  Requirements:

  • Significant professional experience in software development, with strong full-stack capabilities across backend, frontend, and database technologies.
  • Strong backend development skills using technologies such as Python, Node.js, and/or Go, combined with frontend experience in React and/or Next.js.
  • Solid knowledge of database design and development.
  • Hands-on experience with CI/CD pipelines, including tools such as GitHub Actions or GitLab CI.
  • Practical experience with Docker, Kubernetes, and cloud infrastructure across platforms such as AWS, Azure, or GCP.
  • Strong expertise in automated testing, particularly unit, integration, and end-to-end testing for AI-powered applications and non-deterministic outputs.
  • Deep experience with Large Language Models (LLMs), RAG, prompt engineering, context engineering, and multi-agent systems (MAS).
  • Proven experience with agentic AI frameworks and tools such as LangChain, CrewAI, AutoGen, Claude Code, Codex, or comparable technologies.
  • Ability to architect and evolve AI agents rather than simply consume AI APIs, with a strong understanding of orchestration, workflows, and production reliability.
  • Strong problem-solving skills and an agile, iterative mindset, with the ability to operate effectively in a fast-moving environment.
  • Advanced or fluent English, with excellent communication skills and the ability to collaborate directly with international clients.
  • Proactive, curious, and innovation-oriented approach, with a strong interest in identifying opportunities to use AI to accelerate development and improve productivity.

  Benefits:

  • Health and dental insurance.
  • Meal and food allowance.
  • Childcare assistance.
  • Extended paternity leave.
  • Partnerships with gyms and health and wellness professionals through Wellhub and TotalPass.
  • Profit Sharing and Results Participation (PLR).
  • Life insurance.
  • Continuous learning through a dedicated corporate learning platform.
  • Discounts through an employee discount club.
  • Free online resources focused on physical, mental, and overall well-being.
  • Pregnancy and responsible parenting courses.
  • Partnerships with online learning platforms.
  • Language learning platform.
  • Additional benefits and professional development opportunities.