AI Software Engineer

dataroots, a Talan company; Vlaams-Brabant; Hybride; EUR 65 000 - 98 000; Plein temps

Avantages offerts par ce poste

Mobility budget or company car with a燃

Hospitalization and group insurance

High‑end laptop

Smartphone with subscription

Substantial holidays

Diverse and welcoming work environment

Training budget for learning

Résumé du poste

Dataroots, a Talan company, is seeking an AI Software Engineer to deliver end-to-end data and AI solutions. You will work with a team of AI engineers, data engineers, and cloud experts to build robust LLM and GenAI applications, focusing on production-grade design, scalability, and security.

The role emphasizes production readiness, governance, and staying current with AI advances, with opportunities to deploy across client environments both on-site and remotely.

Qualifications

• Strong Python experience on larger projects with solid software design principles.
• Hands-on experience applying DevOps/MLOps practices, including CI/CD pipelines and monitoring for AI systems.
• Cloud engineering experience (using tools such as Terraform and Docker), and some experience architecting and deploying production-grade applications.
• Good knowledge of at least one cloud platform: Azure, AWS, GCP.
• Good understanding of (gen)AI concepts and staying up to date with the field.
• Experience designing, building, and deploying LLM applications in Python with awareness of latency, cost, and non-determinism.
• Production mindset for LLM systems: reliability, observability, and cost.

Responsabilités

• Deliver end-to-end data and AI solutions for clients.
• Design, build, and deploy production-ready AI systems that are robust and scalable.
• Collaborate with AI engineers, data engineers, and cloud experts to implement LLM and GenAI use cases.

Connaissances

Python

Git & SQL

DevOps/MLOps

Cloud engineering

Cloud platforms (Azure AWS GCP)

LLM applications

Production mindset for AI

Governance & security

Outils

Docker

Terraform

Kubernetes

Description du poste

As an AI Software Engineer at Dataroots, you play a key role in delivering end-to-end data and AI solutions for our clients. Working within a broader ecosystem of AI engineers, data engineers, and cloud experts, you combine software engineering and AI expertise to build impactful applications around LLMs and modern GenAI use cases.

You go beyond experimentation: you design, build, and deploy production-ready AI systems that create real business value. Your focus is on delivering well-architected, scalable, and secure solutions, ensuring that what you build is not just functional, but robust, maintainable, and ready to evolve in real-world settings.

The Skills

Software Engineering Skills:

• Strong Python experience on larger projects with solid software design principles.
• Proficient with Git and SQL, with hands-on experience applying DevOps/MLOps practices, including CI/CD pipelines and monitoring for AI systems.
• Cloud engineering experience (using tools such as Terraform and Docker), and some experience architecting and deploying production-grade applications.
• You have good knowledge of at least one cloud platform: Azure, AWS, GCP.
• Good understanding of (gen)AI concepts, and genuine interest in staying up to date with the field.
• Experience designing, building, and deploying LLM applications in Python, with an eye for common failure modes (latency, cost, rate limits, non-determinism) and how to design around them.
• A production mindset when working with LLM systems: thinking about reliability, evaluation, observability, and cost. You care about how these systems behave in production, not just whether they work in a demo.
• Some familiarity with agentic and retrieval-based patterns.
• You know the model landscape (Claude, GPT, Gemini, open-weight models) well enough to reason about trade-offs: capability, cost, and latency.
• You take governance and security seriously: auth, data boundaries, and responsible use of AI in enterprise environments.

Nice to have:

• You use AI tools daily to design, write, and review code with the ability to critically evaluate their output.
• Hands‑on experience with data engineering (ELT, orchestration) or managed data platforms (e.g. Databricks, Fabric).
• You are opinionated about governance, security, and responsible use of AI in real‑world environments.
• Affinity with application security and cloud networking.
• Experience deploying applications on Kubernetes.

Not every box needs to be ticked to be a great fit. If you’re excited about the role and eager to grow, we’d still love to hear from you.

We’re a data & AI consulting company where people, growth, and impact go hand in hand. Since our early days, we’ve built a culture that values collaboration, knowledge sharing, and an environment where individuals can thrive. This focus has allowed us to grow steadily while staying true to what matters: delivering meaningful results for our clients and creating a place where people enjoy doing their best work.

Working at Dataroots means gaining exposure to a wide range of industries, challenges, and technologies. You’ll have the opportunity to step outside your comfort zone, while being supported by experienced colleagues who are always ready to share their expertise.

As part of the Talan Group, we further extend these opportunities by offering an international dimension to your career path.

The Offer

+ An attractive salary with extralegal benefits, including:

• Mobility budget or a company car with fuel/charging card
• Hospitalization and group insurance
• High‑end laptop
• Smartphone with subscription
• Substantial amount of holidays
• ...

+ Diverse and welcoming work environment, where you’ll collaborate & unwind with colleagues from different cultures and disciplines.

+ A training budget for individual and team learning opportunities.

Tons of team‑building events and sports initiatives to stay connected and unwind.

Where you’ll work

Our main offices are in Leuven and Ghent. These spaces are perfect for both focusing and unwinding with colleagues, as well as brainstorming sessions and team events.

While much of your work can be performed remotely, you will also work on‑site with clients.