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Senior Agentic AI Engineer
Citi
Mississauga, ON
We are seeking an experienced Senior Generative AI Developer to help drive the design, development, and integration of state-of-the-art Generative AI and agentic AI solutions across our…
Senior Software Engineer - AI Agent
Crimson Education
Americas
Full-time
Experience building AI agents, copilot-style products, workflows, or internal automation systems
AI SDLC Engineer (Senior / Principal)
RAVL
Toronto, ON
Full-time
We're looking for a Senior / Principal AI SDLC Engineer to help our financial services clients modernize how software is built, secured, and delivered in an AI-enabled world.
Senior / Staff Software Engineer, AI Tech Strike Team
Waabi
Toronto, ON
$165,000 to $265,000 USD / year
Full-time
…aim of maximizing productivity. We are looking for hands-on senior software engineers to build the AI tooling, agents, and workflows that accelerate how we work. As a Software Engineer on…
AI Solutions Engineer, Agentic Automation
Northleaf Capital Partners
Toronto, ON
Full-time
Reporting to Northleaf’s AI Agent Lead, the AI Solutions Engineer will design, build, and deliver agentic AI and automation solutions for teams across Northleaf, translating business…
Senior Software Engineer – Data Cloud & Marketing Technology
Equinix
Toronto, ON
Full-time
Equinix's Digital Innovation Office is seeking a Senior Software Engineer – Data Cloud & Marketing Technology to own the Salesforce Data Cloud platform and its integration across Sales…
Senior Software Engineer, Applied AI (Toronto)
Justworks
Toronto, ON
$188,000 to $242,000 CAD / year
Full-time
Architect the knowledge and memory infrastructure, allowing agents to retrieve the data and act across our systems.
Senior Software Engineer, Applied AI (Netherlands)
Justworks
Toronto, ON
€143,000 to €184,000 EUR / year
Architect the knowledge and memory infrastructure, allowing agents to retrieve the data and act across our systems.
Senior Software Engineer, Applied AI (Spain)
Justworks
Toronto, ON
Architect the knowledge and memory infrastructure, allowing agents to retrieve the data and act across our systems.
Senior Software Engineer, Applied AI (Toronto)
Justworks
Toronto, ON
$188,000 to $242,000 CAD / year
Architect the knowledge and memory infrastructure, allowing agents to retrieve the data and act across our systems.
Senior AI Full‑Stack Engineer
Manulife
Waterloo, ON
Full-time
We are seeking a Senior Full‑Stack AI Engineer to help shape how modern AI‑driven software is built, deployed, and scaled. In this role, you will work at the intersection of cloud…
Senior Staff Software Engineer - AI Agent Platform
Caribou
Remote, Canada
$200,000 to $230,000 CAD / year
Full-time · Remote
As a Senior Staff Engineer, AI Agent Platform at Caribou, you will own and evolve the foundational infrastructure powering autonomous, voice-enabled, and multi-step agentic workflows across…
Senior Artificial Intelligence Platform Engineer, AI Platform & Fabrics
BMO
Toronto, ON · BMOPLACE
Full-time
…AI safe, governed, and scalable. We are seeking experienced Senior Engineers to help build and operate the core infrastructure that governs how AI runs at BMO: the AI Gateway, Policy…
Senior Data Scientist | Scientifique de données senior
Jesta I.S.
Westmount, Quebec · Montreal, Quebec
Full-time
We are seeking a Senior Data Scientist with deep expertise across the full spectrum of modern AI - from classical predictive modelling to large language models, agentic AI systems, and…
Principal AI Security Engineer
Cerebras Systems
Canada
Full-time
In this role, you will design and build security controls for systems that support training, inference, model serving, customer workloads, internal automation, and AI-assisted development.…
Staff AI Engineer
Arcadia
Toronto, ON · Greater Toronto Area, Canada
$220,000 to $300,000 CAD / year
Full-time
Work on genuinely greenfield engineering problems spanning LLMs, autonomous agents, distributed systems, security, and cloud infrastructure
Senior AI Developer / Développeur(se) IA senior
Aduna Global
Montreal, QC
Full-time
We are building the AI & Data team. You join as one of its first engineers and you report to the Head of Engineering. This is a hands-on role. You design, build and run AI systems in…
Senior Forward Deployed Engineer
Shakudo
Toronto, ON
Full-time
We are seeking a Senior Forward Deployed Engineer to join our ProServe team and work directly with strategic customers to turn business problems into production AI and data systems. This is…
AI Engineer - Remote
Huzzle
Remote, Canada
Full-time · Remote
We are looking for a skilled AI Engineer with at least 2 years of hands-on experience in developing, deploying, and optimizing AI and machine learning solutions. You will work closely with…
Forward Deployed Engineer (AI Practice)
Greenlight Consulting
North York, Ontario
$90,000 to $130,000 CAD / year
This is not a back-office engineering role. You will be in client discovery sessions, presenting architectures to IT leadership, deploying AI agents against real enterprise systems, and…
Microsoft AI and Data Architect
AOT Technologies
Victoria, BC
You are a senior technical leader who can work with business stakeholders, architects, data engineers, AI engineers, DevOps teams, and security teams to deliver scalable, secure, and…
AI Forward Engineer
Fastloop
Vancouver, BC
Full-time
Security and compliance by default. Secure engineering is an instinct, not a checklist. You understand the additional attack surface created when agents can access private data, consume…
Senior AI Developer
Aduna Global
Montreal, QC
Full-time
We are building the AI & Data team. You join as one of its first engineers and you report to the Head of Engineering. This is a hands-on role. You design, build and run AI systems in…
Senior Fullstack Engineer, Agentic Experience
CreatorIQ
Remote, Canada
$132,000 to $165,000 CAD / year
Full-time · Remote
As a Senior Engineer on our Platform Infrastructure team, you will lead the design and governance of our Agentic Solutions. You will bridge the gap between innovative AI agents and…
Senior Security Engineer
Forma.ai
Toronto, ON
$160,000 to $190,000 USD / year
Full-time
As a Senior Security Engineer, you will be a hands-on technical leader strengthening security across Forma's application, cloud infrastructure, development lifecycle, internal systems, and…

Aduna Global

Senior AI Developer

Montreal, QC, Canada

Job type: Full-time
Apply by: Oct 4, 2026

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

Jump to the original description

Responsibilities

Design, build, and operate production AI systems and LLM-based services on a Kubernetes platform. This includes developing an MCP server for network APIs and creating internal AI tooling for engineering teams.

Requirements

Requires 5+ years of software engineering experience with strong Python skills and a proven track record of shipping production LLM applications. Candidates must be proficient in cloud infrastructure (AWS/Azure) and AI security practices.

Experience

5 to 10 years

Working hours

40 hours per week

Work arrangement

Hybrid

Days in the office

Skills

Python
LLM Architecture
RAG
Kubernetes
AWS
Azure
MCP Server
CI/CD
Terraform
Helm
ArgoCD
Agentic Frameworks
Vector Databases
Prompt Engineering
API Design
ML Pipelines

Benefits

Dental Insurance
Medical Insurance
RRSP/DPSP
Unlimited PTO

Visa sponsorship

Not detected in the job text

Keywords

LLM
RAG
MCP
CAMARA
GSMA Open Gateway
Python
Kubernetes
AWS
Azure
Terraform
Helm
ArgoCD
CI/CD
Embeddings
Function Calling
Vector Databases
MLOps
Prompt Injection
OAuth 2.0
OIDC
Vault
Bedrock
SageMaker
Azure AI Foundry
OpenAI
Databricks
Telecom APIs
Agentic AI
Observability
Threat Modelling

Original job description

English section of this bilingual listing.

Senior AI Developer / Développeur(se) IA senior

All Together, Extraordinary

www.adunaglobal.com

Montreal, QC · Hybrid

Aduna is a joint venture backed by the world's largest mobile operators. We build one platform that exposes standardized network APIs (CAMARA / GSMA Open Gateway) to developers and enterprises worldwide:

Our platform runs on cloud infrastructure across many regions. We ship to production every week and we are small enough that your work reaches customers fast.

The role

We are building the AI & Data team. You join as one of its first engineers and you report to the Head of Engineering. This is a hands-on role. You design, build and run AI systems in production, and you shape how AI fits into the platform.

Three things are on the table for the first year:

Take our MCP server from proof of concept to product. AI agents will consume network APIs the same way apps do today. You build the server, the agent registration and trust model, the guardrails and the observability that go with it.
Build the internal AI tooling our engineering and service teams use every day: code assistant and assistants over our documentation, Jira and SharePoint, automation of repetitive work, and the evaluation harness that tells us whether any of it is worth keeping.
Build and operate the data and ML pipelines behind our analytics products and platform signals on AWS or Azure.

What you’ll do

Design, ship and operate LLM and agent based services on our Kubernetes platform, with the same rigor we apply to any production API: auth, rate limits, monitoring.
Own the production MCP server: tool definitions over CAMARA APIs, per-agent identity, risk-tiered access to sensitive APIs, threat model and anti-fraud, anomaly detection.
Package everything as code: Terraform, Helm, ArgoCD, CI/CD. If it is not in Git it does not exist.
Contribute to open source and standards work around agentic access to network APIs, including our CAMARA reference implementation.
Write short design documents, review code, mentor engineers from other teams who want to use AI in their area.

What You Bring

5+ years of professional software engineering experience, including ownership of production systems.
Strong Python engineering skills.
Hands-on experience designing, shipping and operating at least one production LLM or agentic application.
Deep understanding of LLM application architecture: RAG, embeddings, tool/function calling, structured outputs, context engineering, model selection and evaluation.
Experience designing evaluation strategies for AI systems, including regression datasets, task-quality metrics, latency, reliability and cost.
Understanding of AI/ML fundamentals and the ability to determine when to use LLMs, traditional ML, deterministic software or a combination of approaches.
Experience operating containerized services on Kubernetes in AWS or Azure.
Understanding of production AI security concerns, including authentication/authorization, prompt injection, tool misuse, secrets management, data leakage and least-privilege access.
Strong engineering fundamentals: testing, CI/CD, observability, code review and incident response.
Ability to communicate architecture, technical decisions and trade-offs clearly in English and French.

✨ Bonus

MCP or production experience with agent/tool protocols.
Agent orchestration frameworks and multi-agent systems.
Azure AI Foundry/OpenAI, Amazon Bedrock/SageMaker or Databricks.
RAG, vector databases and enterprise search.
ML pipelines, inference, drift/anomaly detection and streaming architectures.
OAuth 2.0/OIDC, Vault and threat modelling.
Telecom/network APIs, CAMARA or GSMA Open Gateway.
LLM observability and evaluation platforms.
Open-source contributions.

🌟 Why Join Aduna?

Small teams with clear ownership. You own outcomes, not tickets.
Production first. Every engineer is close to what runs and to the customers who use it.
Global Teams in Montreal and Lodz (Poland), operators and customers on every continent.
Build technology that impacts millions
Growth in a fast-moving, innovative environment

Our Offer:

Hybrid model (3 days in our Montréal office)
Competitive salary + full benefits (dental, medical, RRSP/DPSP)
Unlimited PTO
High ownership, collaboration, and room to grow

📄 By applying, you consent to the processing of your personal data for recruitment purposes.

🔗 Privacy notice: https://www.adunaglobal.com/privacy-notice/

Aduna is committed to a diverse and inclusive workplace and welcomes applicants from all backgrounds.

Tous ensemble, extraordinaires

Montréal, QC · Hybride

Read the full bilingual original

Senior AI Developer / Développeur(se) IA senior

All Together, Extraordinary

www.adunaglobal.com

Montreal, QC · Hybrid

Our platform runs on cloud infrastructure across many regions. We ship to production every week and we are small enough that your work reaches customers fast.

The role

Three things are on the table for the first year:

Take our MCP server from proof of concept to product. AI agents will consume network APIs the same way apps do today. You build the server, the agent registration and trust model, the guardrails and the observability that go with it.
Build the internal AI tooling our engineering and service teams use every day: code assistant and assistants over our documentation, Jira and SharePoint, automation of repetitive work, and the evaluation harness that tells us whether any of it is worth keeping.
Build and operate the data and ML pipelines behind our analytics products and platform signals on AWS or Azure.

What you’ll do

Design, ship and operate LLM and agent based services on our Kubernetes platform, with the same rigor we apply to any production API: auth, rate limits, monitoring.
Own the production MCP server: tool definitions over CAMARA APIs, per-agent identity, risk-tiered access to sensitive APIs, threat model and anti-fraud, anomaly detection.
Package everything as code: Terraform, Helm, ArgoCD, CI/CD. If it is not in Git it does not exist.
Contribute to open source and standards work around agentic access to network APIs, including our CAMARA reference implementation.
Write short design documents, review code, mentor engineers from other teams who want to use AI in their area.

What You Bring

5+ years of professional software engineering experience, including ownership of production systems.
Strong Python engineering skills.
Hands-on experience designing, shipping and operating at least one production LLM or agentic application.
Deep understanding of LLM application architecture: RAG, embeddings, tool/function calling, structured outputs, context engineering, model selection and evaluation.
Experience designing evaluation strategies for AI systems, including regression datasets, task-quality metrics, latency, reliability and cost.
Understanding of AI/ML fundamentals and the ability to determine when to use LLMs, traditional ML, deterministic software or a combination of approaches.
Experience operating containerized services on Kubernetes in AWS or Azure.
Understanding of production AI security concerns, including authentication/authorization, prompt injection, tool misuse, secrets management, data leakage and least-privilege access.
Strong engineering fundamentals: testing, CI/CD, observability, code review and incident response.
Ability to communicate architecture, technical decisions and trade-offs clearly in English and French.

✨ Bonus

MCP or production experience with agent/tool protocols.
Agent orchestration frameworks and multi-agent systems.
Azure AI Foundry/OpenAI, Amazon Bedrock/SageMaker or Databricks.
RAG, vector databases and enterprise search.
ML pipelines, inference, drift/anomaly detection and streaming architectures.
OAuth 2.0/OIDC, Vault and threat modelling.
Telecom/network APIs, CAMARA or GSMA Open Gateway.
LLM observability and evaluation platforms.
Open-source contributions.

🌟 Why Join Aduna?

Small teams with clear ownership. You own outcomes, not tickets.
Production first. Every engineer is close to what runs and to the customers who use it.
Global Teams in Montreal and Lodz (Poland), operators and customers on every continent.
Build technology that impacts millions
Growth in a fast-moving, innovative environment

Our Offer:

Hybrid model (3 days in our Montréal office)
Competitive salary + full benefits (dental, medical, RRSP/DPSP)
Unlimited PTO
High ownership, collaboration, and room to grow

📄 By applying, you consent to the processing of your personal data for recruitment purposes.

🔗 Privacy notice: https://www.adunaglobal.com/privacy-notice/

Aduna is committed to a diverse and inclusive workplace and welcomes applicants from all backgrounds.

Tous ensemble, extraordinaires

Montréal, QC · Hybride

Aduna est une coentreprise soutenue par les plus grands opérateurs mobiles au monde. Nous construisons une plateforme unique qui expose des API réseau standardisées (CAMARA / GSMA Open Gateway) aux développeurs et aux entreprises partout dans le monde:

Notre plateforme tourne dans le nuage, dans de nombreuses régions. Nous livrons en production chaque semaine et nous sommes assez petits pour que votre travail atteigne les clients rapidement.

Le role

Nous bâtissons l'équipe IA et données. Vous en serez l'un des premiers ingénieurs et vous relèverez du Head of Engineering. C'est un poste très technique. Vous concevez, construisez et opérez des systèmes IA en production, et vous définissez la place de l'IA dans la plateforme.

Trois chantiers pour la première année:

Faire passer notre serveur MCP de la preuve de concept au produit. Les agents IA consommeront les API réseau comme les applications le font aujourd'hui. Vous construisez le serveur, le modèle d'enregistrement et de confiance des agents, les garde-fous et l'observabilité qui vont avec.
Construire l'outillage IA interne utilisé chaque jour par nos équipes d'ingénierie et de service: assistant de code et assistants sur notre documentation, Jira et SharePoint, automatisation des tâches répétitives, et le banc d'évaluation qui nous dit ce qui mérite d'être gardé.
Construire et opérer les pipelines de données et de ML derrière nos produits analytiques et les signaux de la plateforme sur AWS ou Azure.

Ce que vous ferez

Concevoir, livrer et opérer des services LLM et des agents sur notre plateforme Kubernetes, avec la même rigueur que pour n'importe quelle API en production: authentification, limites de débit, surveillance.
Être responsable du serveur MCP en production: définitions d'outils sur les API CAMARA, identité par agent, accès par niveau de risque aux API sensibles, modèle de menace et antifraude, détection d'anomalies.
Tout livrer sous forme de code: Terraform, Helm, ArgoCD, CI/CD. Ce qui n'est pas dans Git n'existe pas.
Contribuer aux travaux open source et de standardisation sur l'accès des agents aux API réseau, dont notre implémentation de référence CAMARA.
Rédiger de courts documents de conception, réviser du code, accompagner les ingénieurs des autres équipes qui veulent utiliser l'IA dans leur domaine.

Ce que vous apportez

5+ ans d'expérience professionnelle en génie logiciel, incluant la prise en charge de systèmes en production.
Solides compétences en ingénierie Python.
Expérience pratique de la conception, du déploiement et de l'exploitation d'au moins une application LLM ou agentique en production.
Compréhension approfondie de l'architecture des applications LLM: RAG, embeddings (plongements vectoriels), appel d'outils et de fonctions, sorties structurées, ingénierie du contexte, sélection et évaluation de modèles.
Expérience de la conception de stratégies d'évaluation pour les systèmes d'IA, incluant les jeux de données de régression, les métriques de qualité des tâches, la latence, la fiabilité et les coûts.
Compréhension des fondements de l'IA et de l'apprentissage automatique, et capacité à déterminer quand utiliser des LLM, l'apprentissage automatique traditionnel, des logiciels déterministes ou une combinaison d'approches.
Expérience de l'exploitation de services conteneurisés sur Kubernetes dans AWS ou Azure.
Compréhension des enjeux de sécurité de l'IA en production, incluant l'authentification et l'autorisation, l'injection de prompts, l'usage abusif des outils, la gestion des secrets, les fuites de données et l'accès selon le principe du moindre privilège.
Solides bases en ingénierie: tests, CI/CD, observabilité, revue de code et gestion des incidents.
Capacité à communiquer clairement l'architecture, les décisions techniques et les compromis, en anglais et en français.

✨ Bonus

Expérience avec MCP ou expérience en production avec des protocoles d'agents et d'outils.
Cadres d'orchestration d'agents et systèmes multi-agents.
Azure AI Foundry/OpenAI, Amazon Bedrock/SageMaker ou Databricks.
RAG, bases de données vectorielles et recherche d'entreprise.
Pipelines d'apprentissage automatique, inférence, détection de dérive et d'anomalies, et architectures de traitement en flux continu.
OAuth 2.0/OIDC, Vault et modélisation des menaces.
API télécom et réseau, CAMARA ou GSMA Open Gateway.
Plateformes d'observabilité et d'évaluation des LLM.
Contributions à des projets open source.
Contributions open source.

🌟 Pourquoi rejoindre Aduna?

Petites équipes avec des responsabilités claires. Vous êtes responsable des résultats, pas des tickets.
La production d'abord. Chaque ingénieur est proche de ce qui tourne et des clients qui l'utilisent.
International: Des équipes à Montréal et à Lodz (Pologne), des opérateurs et des clients sur tous les continents.
Construire une technologie qui impacte des millions de personnes
Évoluer dans un environnement innovant et en croissance rapide

Notre offre:

Modèle hybride (3 jours au bureau de Montréal)
Salaire compétitif + avantages complets (dentaire, médical, REER/RPDB)
Forte autonomie, collaboration et perspectives d’évolution
Congés payés illimités

📄 En postulant, vous consentez au traitement de vos données personnelles à des fins de recrutement.

🔗 Avis de confidentialité: https://www.adunaglobal.com/privacy-notice/

Aduna s’engage à offrir un milieu de travail diversifié et inclusif et accueille les candidats de tous horizons.

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