Job Description

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: 45,000.00-102,000.00 per year

Experience:

Python: 10 years (required)
Work Location: Remote