AI Engineer

Startup Atlas; Drongen; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

Karomia is seeking an AI Engineer to develop AI-driven features for sustainability reporting automation. You will collaborate with customers, researchers, and front-end and data science teams to deliver scalable, production-ready solutions.

You’ll explore emerging AI technologies, build intuitive AI pipelines, and ship robust features that improve ESG reporting and impact measurement. The role combines hands-on engineering with strategic product thinking in a fast-paced environment.

Qualifications

• Work experience in AI engineering or ML for production systems.
• Experience in sustainability or data-rich domains is a plus.
• Strong problem-solving and collaboration skills.

Responsibilities

• Collaborate with customers to understand sustainability reporting needs.
• Stay at the forefront of AI advancements and assess integration into products.
• Build AI-powered features that automate sustainability reporting processes.
• Design intuitive AI pipelines and user interactions for end-users.
• Ensure scalable AI infrastructure and reliable deployments in production.

Skills

Python

Machine Learning

APIs

Docker

OpenAPI

LLMs

Tools

Docker

PyTorch

OpenAI API

Job description

A practical sustainability intelligence system that simplifies ESG reporting, double materiality assessments, and compliance with frameworks like CSRD/ESRS, VSME, and more, using AI to process documents and provide actionable insights.

Karomia is seeking an AI Engineer to develop AI-driven features for sustainability reporting automation. The role involves collaborating with customers, researching emerging AI technologies, and implementing scalable solutions in a fast-paced environment.

Job Description

Karomia is a fast-growing B2B SaaS company on a mission to help organizations tackle their sustainability compliance challenges and make the world a greener place. Our platform empowers businesses to streamline ESG reporting, allowing sustainability managers to focus on driving real sustainable impact. So we start living in balance with our planet asap. At Karomia, we’re a team with big ambitions, dedicated to our customers, and eager to make a difference.

We’re looking for an AI Engineer to help us push the boundaries of automation and AI. You’ll wear multiple hats: building with customers in mind, exploring the latest AI tech, and shipping robust, scalable solutions.

The opportunity

At Karomia we do things a bit different! As an AI Engineer at Karomia, you’ll will get to wear 3 very important hats. Balancing these hats is a big challenge but equally exciting:

Collaborate closely with customers to understand their sustainability reporting needs. Translate insights into product enhancements that deliver clear, tangible value through automated reporting solutions.

AI Research Hat:

Stay at the forefront of AI advancements. Regularly explore emerging AI technologies and assess how they can be effectively integrated into Karomia’s products to improve reporting automation and impact measurement.

Rapidly implement new AI technologies. Stay agile and proactive by integrating emerging AI tools and frameworks into the product. Ensure fast, reliable, and scalable implementation of new technologies, translating research insights directly into functional, production-ready solutions.

Build AI-Powered Features:

Develop and deploy AI-driven functionalities that enhance and automate sustainability reporting processes, directly contributing to Karomia’s mission.

Design AI Workflows:

Architect intuitive, efficient AI pipelines and user interactions that make complex tasks seamless for end-users.

Integrate Emerging AI Technologies:

Continuously assess and implement new models, frameworks, and tools to keep Karomia’s product at the forefront of innovation.

Ensure Scalable AI Infrastructure:

Contribute to the design and maintenance of scalable, efficient backend systems capable of supporting advanced AI workloads in production.

Work closely with frontend developers, data scientists, and sustainability experts to deliver cohesive, AI-powered product improvements.

Drive Experimentation and Testing:

Set up frameworks to evaluate, test, and deploy machine learning models and AI features, ensuring high performance and reliability.

Who you are

Passionate about sustainability and making a positive impact in the world.

Creative problem-solver with a proactive mindset.

Adaptable and effective in a fast-paced environment.

Self-propelling and capable of independent work.

Technical skills

You

git committo pushing models to production,

git pullinsights from data, and

git mergeresearch with real-world impact.

You handle change like a well-trained transformer—fine-tuning rapidly to shifting priorities and user needs.

You know how to

pip installthe latest frameworks and

pythonyour way through data pipelines and AI workflows.

docker runmodels and APIs efficiently, ensuring smooth and reproducible deployments across environments.

You speak fluent OpenAPI, orchestrate endpoints like a well-structured prompt, and always

uv syncwithin our team to

tokenizefeedback and improve your outputs.

You engineer prompts, tune hyperparameters, and deploy LLMs like a pro, ensuring your models don’t just overfit but deliver real value.