Lead AI Engineer J235

We are looking for a Lead AI Engineer to join our dynamic Sustainability team, where we integrate environmental, social, and governance (ESG) principles into corporate strategies to drive long-term value creation.
We deliver comprehensive sustainability services from regulatory compliance and supply chain risk management to AI-powered insights that enhance decision-making, improve efficiency, and accelerate sustainability journeys.

As a Lead AI Engineer, you will play a key role in designing and developing Generative AI (GenAI) applications that enable sustainable business outcomes through advanced analytics, automation, and intelligent data-driven systems.

Key Responsibilities

• Design, develop, and deploy GenAI applications aligned with sustainability goals and business requirements.
• Implement Retrieval-Augmented Generation (RAG) pipelines and prompt engineering strategies for contextual AI systems.
• Build and optimize AI workflows using frameworks such as LangChain, LangGraph, and LlamaIndex.
• Integrate and manage vector databases and embedding models for efficient information retrieval.
• Collaborate with data scientists, sustainability experts, and cloud engineers to deliver end-to-end AI solutions.
• Apply software engineering best practices — including version control, testing, CI/CD, and containerization with Docker.
• Work with Azure cloud services (e.g., Azure Functions, Cognitive Services) to deploy and scale solutions.
• Ensure adherence to responsible AI principles, including transparency, fairness, and bias mitigation.
• Contribute to continuous improvement of sustainability analytics platforms and reusable AI components.

Requirements

• 15+ years of professional experience in software engineering, AI, or data science roles.
• Strong programming expertise in Python, with proficiency in FastAPI, Pandas, and NumPy.
• Proven experience with Retrieval-Augmented Generation (RAG) and prompt engineering.
• Hands-on experience with vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding models.
• Familiarity with GenAI frameworks such as LangChain, LangGraph, and LlamaIndex.
• Exposure to multi-agent frameworks (CrewAI, AutoGen, TaskWeave) is a strong plus.
• Experience with Azure cloud services, particularly Azure Functions and AI-related offerings.
• Working knowledge of data engineering concepts (pipelines, integration, warehousing) preferred.
• Practical understanding of CI/CD, unit testing, version control (Git), and containerization (Docker).
• Strong analytical and problem-solving skills with a strategic mindset.
• Excellent communication and collaboration skills for engaging with multidisciplinary teams.

Preferred Qualifications

• Master's degree in Computer Science, Data Science, or a related technical discipline.
• Familiarity with responsible AI, AI ethics, and sustainability analytics.
• Experience applying AI to ESG data, energy optimization, or sustainability reporting.

What do we offer you?

• Attractive salary
• Large freedom and real influence
• No unhealthy competition, team approach to meeting challenges
• Remote work model
• Company apartments in cool cities across Europe: work and enjoy a memorable getaway

About us

We are a software house with a 18-year history, a rich portfolio, projects all over the world and an appetite for more. We have built our brand on professionalism and flexibility in delivering software solutions. We are not afraid of unconventional ideas and value innovation and imaginative change.

Job Type: Full-time

Pay: 54.000,00€ ,00€ per year

Experience:

• Python: 10 years (required)

Work Location: Remote