Python AI Engineer

Náplň práce, právomoci a zodpovednosti:
- Design and develop new innovative GenAI applications
- Develop prototype solutions to meet these requirements
- Build new features and designing new application in Python and in other programming languages
Our team provides comprehensive sustainability services, addressing a wide range of needs from regulatory compliance to leveraging tax benefits and managing supply chain risks. We harness advanced technologies, including AI and analytics, to deliver data-driven insights that enhance decision-making, improve efficiency, and accelerate sustainability journeys.
Our commitment is to help clients navigate evolving sustainability regulations, manage capital allocation, and reduce energy demands through innovative tech solutions. We emphasize robust sustainability reporting and independent assurance to build trust with investors and stakeholders.
As an AI Engineer, you will play a crucial role in developing and implementing tech-enabled solutions that drive sustainable outcomes and support our strategic goals.

Požiadavky na zamestnanca:
• B.S. in Computer Science, Software Engineering, Statistics/Mathematics, Information Technology
• 2+ year Experience in Python programming /AI
• Strong software engineering expertise in Python, with a focus on FastAPI, Pandas, and NumPy.
• Experience with Retrieval Augmented Generation (RAG), chatGPT,.
• Proficiency in Prompt Engineering.
• Knowledge of vector databases and embedding models.
• Familiarity with frameworks such as LangChain, LangGraph, and LlamaIndex.
• Experience with multi-agent libraries/frameworks like CrewAI, Autogen, and Taskweave is a plus.
• Hands-on experience with Azure cloud services, including Azure Functions.
• Familiarity with other cloud platforms and their AI services is a plus.
• Understanding of data engineering concepts, including data pipelines, data integration, and data warehousing is a plus.
• Ability to work with large datasets and perform data cleaning, transformation, and manipulation.
• Experience with version control, small and regular commits, unit tests, CI/CD, packaging, and Docker.
• Knowledge of AI ethics, bias mitigation, and responsible AI practices is a plus.
• Methodical, organized and able to multi-task
• Fast learner, self-starter, solution oriented and productive worker
• Ability to work independently, as a team player and in a fast paced environment.