Artificial Intelligence Engineer

🚀 Python AI Engineer | GenAI & ESG (Sustainability) | Azure

🌍 Fully Remote | 📄 6-Month B2B Contract (extension likely) | 💰 Competitive Rate

We are looking for a skilled Python AI Engineer to join our dynamic Sustainability team within a top-tier global consulting firm. By developing cutting-edge GenAI applications, you will help integrate environmental, social, and governance (ESG) factors into corporate strategies. This is a unique opportunity to harness advanced AI, RAG, and data analytics to drive sustainable outcomes, regulatory compliance, and real-world value creation

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What You’ll Be Doing:

• Developing and deploying new GenAI applications tailored for sustainability, carbon footprint tracking, and ESG reporting
• Building robust backend solutions using Python, FastAPI, Pandas, and NumPy
• Designing Retrieval-Augmented Generation (RAG) pipelines and optimizing Prompt Engineering workflows
• Leveraging vector databases, embedding models, and frameworks like LangChain, LangGraph, and LlamaIndex
• Working with large datasets to perform data cleaning, transformation, and manipulation
• Deploying tech-enabled solutions on Microsoft Azure, heavily utilizing Azure Functions

What We're Looking For:

• Proven commercial software engineering experience, primarily in Python
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
• Solid backend development skills focusing on FastAPI, Pandas, and NumPy
• Hands-on experience with RAG architectures and Prompt Engineering
• Proficiency with vector databases and AI frameworks (LangChain, LangGraph, LlamaIndex)
• Experience with Microsoft Azure cloud services (including serverless architectures)
• Good software engineering hygiene: Git, small/regular commits, unit testing, CI/CD, packaging, and Docker
• Strong analytical thinking and the ability to collaborate with cross-functional sustainability stakeholders

Nice to Have:

• Experience with multi-agent libraries/frameworks (CrewAI, Autogen, Taskweave)
• Understanding of data engineering concepts (pipelines, integration, data warehousing)
• Knowledge of AI ethics, bias mitigation, and responsible AI practices
• Familiarity with other cloud platforms and their AI services

Location & Working Setup:

• Remote working model within EU
• Contract duration: 6 months

US Hours overlap needed: Minimum 2-6 pm CET, preferred 2-7 pm CET