Job Description & How to Apply Below
Software Transformation Developer (AI Code Modernization Platform)
Location:
Hybrid-Quebec, Canada
Bentley Systems is seeking a talented AISystems Modernization Developer to become a valued member of a dedicated AI expert team. This global team’s main responsibilities are to innovate the use of AI techniques, including multi‑stage agentic workflows, to automatically convert and upscale academic or legacy code into cloud native services and apps. The team will collaborate with, support, and guide other software developers in the company around AI topics.
Note that this team is starting this year, so the first team members will have a strong influence on the direction of the team. Given that this is a new domain, the team will be in a leadership position to contribute to, evangelize, and operationalize this vision for the company. The team will also run programs in support of best practices across the company.
This position should appeal to candidates who enjoy bleeding‑edge technology, deep technical discussions, and who want to be exposed to a variety of tech stacks. Bentley has hundreds of products of various types, including desktop, mobile, traditional server, and cloud microservices. Moreover, the candidate will have the opportunity to work as part of a diverse global team of experts.
Responsibilities
Develop tools and automation supporting the team’s responsibilities
Create rigorous and hardened test suites to ensure that converted code is accurate
Continuous research and continuous improvement to our AI workflows to ensure we are always using the best AI tools and processes to do automated code conversion and modernization
Manual evaluation of the quality of the conversion of code for the difficult‑to‑analyze portion of the code
A key part of the team’s role is to avoid this as much as possible
Establish the limits of what we can and cannot do with various technologies
Continuously monitor and adjust the trade‑offs between speed, cost and quality of conversion
Train developers and/or create educational support
Required Qualifications
Strong interest in AI for coding
Strong problem‑solving capabilities
Good knowledge of at least some legacy (e.g., C, Fortran) and some new languages (e.g., Rust, .NET, and Type Script) to be able to compare converted code
At least understand old and new usual code patterns
Familiarity with numerical precision across language runtimes
Capability to research a new topic and learn quickly
Experience breaking down complex systems to analyze them
Proficiency in cloud technologies
Experience building LLM pipelines
Optional Skills and Experiences
Finite Element Analysis (FEA)
Web technologies
Azure and GCP
App Sec and Cloud Security
Containerization solutions, such as Kubernetes, Docker, and Istio
Compiler Theory
AST‑level code analysis and manipulation
Equivalence Verification Checking
What We Offer
Great Team and culture – please see our colleague video
An exciting career as an integral part of a world‑leading software company providing solutions for architecture, engineering, and construction – watch this short documentary about how we got our start
An attractive salary and benefits package
A commitment to inclusion, belonging and colleague wellbeing through global initiatives and resource groups
A company committed to making a real difference by advancing the world’s infrastructure for better quality of life, where your contributions help build a more sustainable, connected, and resilient world. Discover our latest user success stories for an insight into our global impact
Développeur(euse) en transformation logicielle (Plateforme de modernisation du code par IA)
Emplacement :
Hybride – Québec, Canada
Bentley Systems est à la recherche d’un(e) Développeur(euse) en modernisation de systèmes IA pour rejoindre une équipe d’experts dédiée à l’IA. Cette équipe globale a pour mission principale d’innover dans l’utilisation des techniques d’intelligence artificielle — y compris des flux de travail agentifs multi étapes — afin de convertir et moderniser automatiquement du code académique ou désuet en services et applications cloud natives.
L’équipe collaborera étroitement avec les développeurs de…
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