All active Prompt Engineer roles based in Montreal.
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Concevoir, développer et optimiser des modèles d’apprentissage automatique qui alimentent les décisions fondées sur les données
Le rôle
Nous sommes à la recherche d’un ingénieur en apprentissage automatique pour se joindre à une équipe collaborative qui livre des solutions avancées d’analytique et d’IA dans le secteur des services financiers. Ce rôle met l’accent sur le cycle de vie complet des modèles d’apprentissage automatique — de la développement et l’expérimentation au déploiement, à la surveillance et à l’amélioration continue — ainsi que sur l’application de techniques d’IA générative.
Ce que vous ferez
Ce que nous recherchons
Atouts
Pourquoi joindre Capco
Nous offrons un régime d’avantages sociaux concurrentiel et axé sur les personnes, conçu pour soutenir tous les aspects de votre vie :
Avantages
Transparence salariale
La fourchette salariale pour ce poste est indiquée ci-dessous. De plus, ce poste peut également être admissible à un paiement annuel de prime discrétionnaire/variable.
Capco s'engage à offrir une rémunération juste et équitable à son personnel. Nos politiques de rémunération et nos fourchettes salariales sont conçues pour permettre à nos employés de progresser dans la fourchette salariale à mesure qu'ils démontrent de solides performances et se développent dans leur rôle au fil du temps. Le salaire de base offert aux candidats retenus sera conforme à la fourchette salariale, et le placement variera en fonction de divers facteurs, y compris, mais sans s'y limiter, les connaissances, compétences, expérience et équité interne liées au poste.
CAD $118000 - CAD $152000
Utilisation de l’intelligence artificielle dans l’acquisition de talents
Chez Capco, nous utilisons des outils d’intelligence artificielle (IA) pour appuyer et améliorer plusieurs aspects de l’acquisition de talents. Cela comprend l’utilisation de fonctionnalités alimentées par l’IA dans LinkedIn pour aider à repérer des candidats potentiels, l’accélération des communications de recrutement courantes comme les courriels et la création d’offres d’emploi convaincantes, alignées sur la marque et reflétant fidèlement les exigences du poste, ainsi que des applications de planification par IA pour améliorer l’efficacité de la coordination des entrevues.
L’IA est utilisée uniquement comme outil d’appui. Toutes les décisions d’embauche sont prises par les équipes d’acquisition de talents et de recrutement.
Pourquoi ce poste est ouvert
Nous recrutons actuellement pour ce poste en raison d’un poste vacant existant ou nouvellement créé au sein de notre organisation. Ce poste est ouvert dans le cadre de nos besoins d’affaires continus, et nous examinons activement les candidatures afin de pourvoir ce rôle avec une personne qualifiée qui pourra avoir un impact immédiat.
Inclusion chez Capco
Nous nous engageons à rendre notre processus de recrutement accessible et simple pour tout le monde. Si vous avez besoin d’aménagements à n’importe quelle étape, faites-le-nous savoir — nous serons heureux de vous aider. Nous valorisons la perspective et la contribution uniques de chaque personne. Chez Capco, nous croyons qu’être soi-même est votre plus grande force. Notre culture #BeYourselfAtWork encourage l’individualité et la collaboration — un état d’esprit qui façonne notre façon de travailler avec nos clients et entre nous, chaque jour.
Chez Capco, nous utilisons des outils d’intelligence artificielle (IA) pour appuyer et améliorer plusieurs aspects de l’acquisition de talents. Cela comprend l’utilisation de fonctionnalités alimentées par l’IA dans LinkedIn pour aider à repérer des candidats potentiels, l’accélération des communications de recrutement courantes comme les courriels et la création d’offres d’emploi convaincantes, alignées sur la marque et reflétant fidèlement les exigences du poste, ainsi que des applications de planification par IA pour améliorer l’efficacité de la coordination des entrevues.
L’IA est utilisée uniquement comme outil d’appui. Toutes les décisions d’embauche sont prises par les équipes d’acquisition de talents et de recrutement.
Design, build, and optimize machine learning models that power data-driven decisions
The Role
We are seeking a Machine Learning Engineer to join a collaborative team delivering advanced analytics and AI solutions within financial services. This role focuses on the full lifecycle of machine learning models—from development and experimentation to deployment, monitoring, and continuous improvement—alongside the application of generative AI techniques.
What You’ll Do
What We’re Looking For
Bonus Points For
Why Join Capco
We offer a competitive, people-first benefits package designed to support every aspect of your life:
Benefits
Use of Artificial Intelligence in Talent Acquisition
At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.
AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.
Why This Role Is Open
We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.
Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.
At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.
AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.
#LI-Hybrid
Pay Transparency
The salary range for this position is listed below. Additionally, this position may also be eligible to receive an annual discretionary/variable bonus payment.
Capco is committed to providing fair and equitable compensation to our people. Our compensation policies and salary ranges are designed to allow our people to progress through the salary range as they demonstrate strong performance and develop in their role over time. The base pay offered to selected candidates will be within the salary range and the placement will vary based upon a variety of factors, including, but not limited to job-related knowledge, skills, experience and internal equity.
Ready to apply?
Apply to CapcoBehavox is a cloud-native AI company providing an integrated controls platform for global banks, asset managers, hedge funds, private equity firms, insurance businesses, and commodity firms. The platform unifies communications and trade surveillance, compliant archiving, policy management as well as front-office analytics on a single, AI-native technology stack, delivered as a globally scalable SaaS-based cloud service.
At Behavox, our engineering culture is built around speed, experimentation, and technical excellence, following agile principles and rapid iteration. We constantly test and adopt the latest cloud technologies and AI tooling, optimising for fast feedback loops and execution. We look for people who can move fast, challenge conventional wisdom, and who want to work at the frontier of modern AI, SaaS platforms, and distributed systems.
Behavox is a high-performance organisation with a strong bias toward delivery, ownership, and responsibility. We commit, and we execute. We are building systems that are complex, mission-critical, and global in scale; systems that many consider too large or too difficult. To do that, we seek the smartest, most technically capable engineers and technologists who take end-to-end responsibility and want to win by building what others cannot.
Founded in 2014 and backed by SoftBank Vision Fund, Behavox is headquartered in London, with offices worldwide, including New York City, Montreal, Seattle, Singapore, and Tokyo.
The Software Engineer (Java) operates at a senior engineer level, driving technical direction across core product domains. The role combines deep hands-on Java engineering with architectural ownership — from high-level system design and technology selection to leading delivery of critical, cross-cutting platform capabilities.
At this level, engineering excellence extends beyond implementation: the engineer determines the right approach to complex problems, communicates technical decisions across functions, participates in hiring, and is accountable for the long-term health of the systems they own. This level demands sound judgment on technology and business trade-offs and the ability to act as a technical lead. A defining expectation is mastery of AI-assisted engineering — leveraging agentic AI tools as force multipliers while retaining full ownership of architecture, quality, and technical outcomes.
Our selection process is designed to rigorously assess a candidate’s depth of technical knowledge, problem-solving ability, and alignment with Behavox’s mission and core values.
As part of the process, candidates will first participate in a series of interviews focused on evaluating their technical expertise and engineering judgment. Candidates who successfully progress through these interviews will then be invited to complete a live technical exercise. The purpose of this live technical assessment is to validate the candidate’s stated technical competencies and assess their ability to solve complex problems with speed, accuracy, and sound engineering judgment. Note that whenever possible, we aim to conduct interviews in person at our offices.
We recognise and respect the time candidates invest in this process. In return, Behavox commits significant time and resources to ensure that those who join us have the capability, judgment, and alignment required to operate at the speed and level of complexity our work demands. We value efficiency and clarity on both sides; if at any point we determine that a candidate is not a fit, we reserve the right to immediately conclude the interview or the technical assessment.
Please note the following:
Ready to apply?
Apply to Behavox
MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the engineering talent to match.
We're looking for a Senior Software Engineer to own the constraint-solving engine behind our Scheduling Agent, one of the most strategic bets on our Planning & Scheduling roadmap. The engine is a Python service built on CP-SAT that takes work orders, technicians, and a mix of hard and soft constraints, and produces a feasible weekly schedule that enterprise maintenance teams can trust. Your focus will be evolving the solver to handle increasingly complex, real-world scheduling scenarios and exposing it as tools for GenAI agent workflows.
This is a high-ownership role. You'll have the space to shape the modeling approach, partner closely with product and design on what scheduler users actually need, and ship iteratively against feedback from real enterprise customers.
Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That's why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.
MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
#LI-Remote
Ready to apply?
Apply to MaintainX
We're looking for a Senior SDET who thinks deeply about quality in systems that are inherently non-deterministic. Agentic AI doesn't fail the same way traditional software does — and testing it requires a new toolkit: eval frameworks, prompt regression, tool-call reliability, adversarial scenarios, and more.
You'll own the entire quality infrastructure across our product portfolio — from test data and CI pipelines to the standards and culture of how we ship. You'll work directly with product, devops, and AI engineering, with no layers between your decisions and their impact.
Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build
Ready to apply?
Apply to Medeloop
CapIntel is a software platform built for wealth management enterprises to help financial advisors explain complex investment strategies to their clients. Advisors at some of the biggest banks across North America are winning trust by using CapIntel to easily compare investments and create compelling, educational presentations. Ultimately, we're focused on investors getting better service, understanding their investments, and feeling at ease knowing their future is secure.
Since launching in 2019, CapIntel has seen rapid adoption and industry recognition, earning top placements in Deloitte’s Technology Fast 50 Canada and Fast 500 North America in 2025, ranking us among the fastest-growing technology companies. To support this momentum, we’re growing our team rapidly—investing in people who drive innovation at scale to expand our impact across the North American wealth management industry.
As a Context Engineer at CapIntel, you'll sit at the intersection of AI infrastructure and engineering. You will be responsible for how large language models are integrated into our core platform and how our engineering team adopts agentic workflows. This is a hands-on, production-focused role, not a research one. You'll build the systems that make our AI features reliable, accurate, and scalable for the wealth management enterprises that depend on us.
You'll be embedded in development teams working closely with engineers, product managers, and domain experts across the organization to design and deliver LLM-powered capabilities that directly enhance the advisor and client experience. As one of the first practitioners in this discipline at CapIntel, you'll also help define what context engineering looks like here: setting patterns and practices the broader team can build on.
This role is ideal for someone who thinks in systems, cares about production reliability over demo-day performance, and is energized by working in a discipline that is evolving quickly.
At CapIntel, we design compensation with intention. Each role is assessed against the impact, skills, and experience it requires, and we align our pay to competitive market data so candidates know what to expect from the start.
Your final offer will reflect your experience, skillset, and location. The listed range is a guideline, and the range for this role may be modified.
Compensation at CapIntel goes beyond base pay. Depending on the role, total rewards may include variable pay, equity, comprehensive benefits, flexible time off, and dedicated opportunities for growth and development.
If you’d like to understand more about our approach, we’re happy to walk through it during the hiring process.
We care most about mindset: your drive, curiosity and commitment to delivering great work. While experience matters, we know that careers aren’t always linear. If this role excites you and you believe you can make an impact with us, we want to hear from you.
Learn more about life at CapIntel on our Careers page, including the virtues that inspire how we work and the perks and benefits designed to support your growth and well-being. We’re a team built on trust, respect, and collaboration. This powers everything we do and creates a space to challenge and elevate each other as we work towards our shared vision. If this speaks to you, we’d be excited to have you with us.
Ready to apply?
Apply to CapIntel
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