We are seeking a highly skilled and visionary Data Tech Lead / Architect to join our dynamic team. This role is ideal for professionals who possess a hybrid skill set of software engineering and data science, and are passionate about building intelligent systems. The ideal candidate will serve as a thought leader, overseeing operations, delegating tasks, and driving innovation in AI-driven applications.

REQUIRED QUALIFICATIONS:

• Proven experience as a Data Architect, Tech Lead, or similar role.
• Strong proficiency in Python and experience with the Agentic Framework.
• Hands-on experience with LangGraph and CrewAI.
• Solid understanding of agent orchestration and AI model evaluation techniques.
• Background in building and deploying real-world applications.
• Strong software development foundation with a focus on scalable system design.
• Excellent leadership, communication, and project management skills.

PREFERRED QUALIFICATIONS:

• Advanced degree in Computer Science, Data Science, or a related field.
• Experience in leading cross-functional teams and managing complex projects.
• Familiarity with emerging AI technologies and frameworks.

ABOUT US

We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions — always with a focus on flexibility and quality. Our team embraces unconventional ideas and new technologies, delivering solutions that drive real impact. If you value professionalism, creativity, and a strong engineering culture, you’ll feel at home here.
Job Type: Full-time
Pay: 54.000,00€ - 120.000,00€ per year

Experience:

• IT: 7 years (Required)
• Python: 3 years (Required)
• Tech Lead / Data Architect: 3 years (Required)

Work Location: Remot

• Lead the design and architecture of data systems and AI solutions.
• Oversee and coordinate a team of software engineers and data scientists.
• Implement and manage agent orchestration using the Agentic Framework.
• Explore and evaluate different system architectures for optimal performance.
• Contribute to ranking and reranking processes in AI models.
• Conduct performance analysis of Python within large-scale applications.
• Utilize tools such as LangGraph and CrewAI for system development and orchestration.
• Ensure the scalability, reliability, and efficiency of data-driven applications.
• Identify and implement AI spots for replacement to enhance automation and efficiency.