MD Rate: 8 000/MD

Seniority: Senior

Location: Fully remote, with possible occasional in person team sessions / workshops / gatherings (i.e. 1x quarter) likely to take place in Prague

Contract Duration: 6 months with likelihood of extension

US Hours overlap needed?: Minimum 2-5pm CET, preferred 2-6pm CET

Language: EN

Start: ASAP

JD:

Project overview:

Join our dynamic Sustainability team, where we integrate environmental, social, and governance (ESG) issues into corporate strategies to drive long-term success and value creation. 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.

Job Description:

Develop new GenAI applications.

Seniority: Senior with 5+ years of relevant experience

Requirements:

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Strong software engineering expertise in Python, with a focus on FastAPI, Pandas, and NumPy.
Experience with Retrieval Augmented Generation (RAG).
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.
Strong analytical thinking and creative problem-solving skills.
Good communication skills for collaborating with cross-functional teams and stakeholders.

#12 12-24x AI Engineer - remote (SEP 14)