GenAI Platform Developer — Agentic AI, Cloud Architecture and Scientific Workflows

Prediqtt

Brussel Hoofdstad

Sur place

EUR 85 000 - 110 000

Plein temps

Il y a 7 jours
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Avantages offerts par ce poste

Stock options
Social benefits

Résumé du poste

PrediQT Technologies seeks a GenAI Platform Developer to join the technology group building PrediQT’s cloud-based engineering platform.

You will design and implement agentic AI workflows that interact with CFD solvers, grid generation tools, databases, APIs and visualization systems, enabling engineers to set up, run, analyse and document high-fidelity simulations through natural language and intelligent automation.

Qualifications

  • Strong software engineering skills with hands-on experience in modern LLM ecosystems and scientific computing.
  • Master or PhD in CFD, applied math, mechanical or aerospace engineering or related field preferred.

Responsabilités

  • Design, build and maintain agentic AI workflows for CFD pre-processing, solver orchestration, post-processing, reporting and decision support.
  • Develop integrations between LLM-based agents, scientific Python tools, APIs, databases, cloud services and simulation software components.
  • Implement retrieval-augmented generation, tool-calling, evaluation and observability for reliable AI-assisted workflows.
  • Contribute to customer-facing interfaces, dashboards and visualization tools for scientific and engineering users.
  • Write high-quality documentation and contribute to publications, demonstrations and conferences in AI, CAE and scientific computing.

Connaissances

Python
LangChain
LangGraph
Vector databases
RAG
API design
AWS deployment

Formation

Master's or PhD in computational fluid dynamics / related field

Outils

LangGraph
Vector databases
AWS

Description du poste

GenAI Platform Developer — Agentic AI, Cloud Architecture and Scientific Workflows

Full-timeposition in a deep-tech R&D team developing next-generationhigh-fidelity flow simulation software for aerospace, propulsion, energy and weather forecasting.

Weare looking for exceptional candidates who have already developed orcontributed significantly to advanced software technology and who can operate at the level of software architecture, scientific workflows, cloud implementation and AI-enabled engineering productivity.

About the Company

PrediQT Technologies develops next-generation high-fidelity, scale-resolved CFD software for industrial applications. Our ambition is to change the simulation paradigm by combining advanced numerical methods, GPU-native performance and, in the longer term, quantum computing capabilities. Our SuRF solver and GenAI-based engineering platform are designed to deliver a new level of accuracy, reliability and engineering productivity for industrial flow simulation.

Industrial demand is shifting toward simulations that can resolve complex unsteady flow physics with higher fidelity, while remainingusable in real engineering workflows. This evolution, together withmajor advances in numerical methods, GPU computing, quantum computing and GenAI, led to the creation of PrediQT Technologies.

Join a creative and ambitious deep-tech team

Join a creative and ambitious deep-tech team working at the frontier ofnumerical simulation, GPU computing, GenAI and quantum computing. Wevalue scientific excellence, engineering rigor, intellectual honesty and teamwork. PrediQTis headquartered in Brussels, in a green area close to public transportand within easy reach of Paris, Amsterdam and London. The role offersthe opportunity to help build a new generation of industrial simulationsoftware from an early stage.

About the Role

We are looking for a GenAI Platform Developer to join the technology group developing PrediQT’scloud-based engineering platform. You will design and implement agenticAI workflows that interact with CFD solvers, grid generation tools,databases, APIs and visualization systems, enabling engineers to set up, run, analyse and document high-fidelity simulations through natural language and intelligent automation.

Responsibilities
  • Design, build and maintain agentic AI workflows for CFD pre-processing, solver orchestration, post-processing, reporting and engineering decision support.
  • Develop robust integrations between LLM-based agents, scientific Python tools, internal APIs, databases, cloud services and simulation software components.
  • Implement retrieval-augmented generation, tool-calling, evaluation and observability mechanisms to ensure reliability, traceability and continuous improvement of AI-assisted workflows.
  • Contribute to customer-facing interfaces, dashboards and visualization tools for scientific and engineering users.
  • Write high-quality documentation and contribute to technical publications, demonstrations and conferences in AI, CAE and scientific computing.
Qualifications
  • Theideal candidate combines strong software engineering skills withhands-on experience in modern LLM ecosystems and a genuine interest inscientific computing. We are looking for someone able to move quicklyfrom prototype to production-quality implementation, while maintaining reliability, clarity and engineering discipline.
  • A Master or PhDin computational fluid dynamics, applied mathematics, mechanical oraerospace engineering, scientific computing, or a closely related fieldis strongly preferred.
Required Skills
  • Strong Python programming skills and experience building production-grade AI or automation workflows.
  • Hands-on knowledge of LLM frameworks and tooling such as LangChain, LangGraph, vector databases, RAG, MCP, evaluation frameworks and agent orchestration.
  • Experience deploying cloud-based applications and services, preferably on AWS.
  • Ability to design clean APIs, reliable data flows and maintainable software architectures for technical users.
  • Interest in CFD, CAE, numerical simulation, scientific visualization or engineering software.
Soft Skills
  • Creative, rigorous and pragmatic mindset, with the ability to experiment fast while building robust systems.
  • Strong communication skills and ability to work with scientists, engineers and software developers.
  • Curiosity for emerging GenAI technologies and willingness to keep the team at the cutting edge of a fast-moving field.
  • Builder mindset, autonomy and team spirit in an early-stage deep-tech environment.
Pay range and compensation package

We offer a competitive compensation package, including salary, stock options and social benefits. This is an opportunity to join PrediQT at an early stage and contribute directly to the development of a new generation of high-fidelity industrial simulation software.

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