We are seeking a Lead AI Engineer to join our Emerging Tech Lab, where we experiment with cutting-edge technologies—AI, Blockchain, IoT, Robotics, AR/VR—to build prototypes, plugins, and proofs of concept that shape the future of enterprise innovation. You will architect and develop new GenAI applications, drive R&D initiatives, and help advance our firm’s AI strategy.

REQUIRED QUALIFICATIONS

• 8+ years of experience in software engineering / AI engineering, with leadership responsibilities.
• Strong expertise in Python (FastAPI, Pandas, NumPy).
• Proven experience with Retrieval Augmented Generation (RAG) and Prompt Engineering.
• Hands-on knowledge of vector databases and embedding models.
• Familiarity with LangChain, LangGraph, LlamaIndex frameworks.
• Experience with multi-agent frameworks (CrewAI, Autogen, Taskweave).
• Mandatory: Azure cloud services (Azure Functions, AI services, data integration).
• Strong understanding of data engineering concepts: pipelines, integration, warehousing.
• Experience working with large datasets (cleaning, transformation, manipulation).
• Solid knowledge of CI/CD, Docker, packaging, testing.
• Strong communication, leadership, and cross-functional collaboration skills.

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:

• Lead / Architect: 3 years (Required)
• Python: 5 years (Required)

Work Location: Remot

• Architect and develop next-generation AI applications and prototypes.
• Build plugins and reusable assets to accelerate enterprise-wide AI adoption.
• Explore and apply RAG pipelines, vector databases, and multi-agent systems to business use cases.
• Lead AI R&D initiatives, testing hypotheses at the forefront of emerging technology.
• Collaborate with cross-functional teams to turn prototypes into scalable enterprise solutions.
• Champion Responsible AI practices including bias mitigation, ethics, and compliance.