🚀 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

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