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Added 8 days ago
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Senior Software Engineer, Agent Infrastructure
Cohere
Remote, Canada
- Full-time
- Remote
…intersection of ML systems, distributed infrastructure, and developer experience, creating the platform that powers autonomous AI agents at…
Added 8 days ago
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Cloud RAN L1 SW Developer
Ericsson
Ottawa, ON
- Full-time
Our L1 Software Development team is part of Ericsson's PEU RAN Performance unit. We design and implement Physical Layer Baseband functions - the core signal-processing engine that powers 5G…
Added 8 days ago
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Technical Lead, Innovation
Croesus
Montreal, QC · Laval, QC
- Full-time
A genuine point of view on the development lifecycle itself (CI/CD, testing, observability, developer tooling) and on how AI is rewriting it. You've made a team faster before, or you're…
Added 8 days ago
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FRACTIONAL SALES CONSULTANT
Kablamo
Toronto, ON
- Part-time
Sell consulting and software engineering services to VP and C-suite executives in mid-market and enterprise sectors.
Added 8 days ago
Data Platform Manager
Helcim Inc
Calgary, AB
7+ years of experience in data engineering, analytics engineering, software engineering, or a similar role, with 2+ years leading a team.
Added 8 days ago
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AI Engineer (Digital, AI and Transformation)
Singapore Land Authority (SLA)
SK
- Full-time
3+ years of experience in AI/ML engineering, software development, automation or related technical roles
Added 8 days ago
SP
Technical Recruiter (6 month contract)
Salesforce Partner Canada
Toronto, ON
- Contract
Salesforce is building the AI-powered future of enterprise software - and we need a world-class recruiter to help us win the most competitive talent market in the industry. This is a…
Added 8 days ago
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ModiFace Sr. AI Researcher
L'Oréal
Toronto, ON
- Full-time
Solid knowledge of programming languages and experiencein the full lifecycle of ML systems, including development, debugging, and performance optimization
Added 8 days ago
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Data Science Manager (Hybrid)
Homebase
Remote, Canada
- $170,000 to $240,000 CAD / year
- Full-time
- Remote
6+ years of experience in data science, applied machine learning, or AI product development
Added 8 days ago
GD
Technical Sales, International Tactical Communications
General Dynamics Missions System International
Ottawa, ON · Calgary, Alberta
- Full-time
…solutions. This role demands a deep grasp of the technology (software, hardware, or integrated systems), and the ability to translate technical features into business benefits. You will…
Added 8 days ago
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AI Engineer (Agentic AI / AWS Bedrock)
Accion Labs
Canada
- Contract
6–8+ years of software engineering, cloud engineering, or AI/ML development experience.
Added 8 days ago
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Quality Engineer
Hays
Toronto, ON
- Contract
10+ years of experience in Quality Assurance, Quality Engineering, or Software Testing.
Added 8 days ago
GD
Technical Sales, International Tactical Communications
General Dynamics Mission Systems–Canada
Ottawa, ON
- Full-time
…solutions. This role demands a deep grasp of the technology (software, hardware, or integrated systems), and the ability to translate technical features into business benefits. You will…
Added 8 days ago
Senior Software Engineer II, Decisioning Studio Integrations Team
Braze
Toronto, ON
We're looking for a Senior Software Engineer II to join the Decisioning Studio Integrations team building BrazeAI Decisioning Studio™. Decisioning Studio is a reinforcement learning…
Added 8 days ago
GD
Technical Sales, International Tactical Communications
General Dynamics Missions System International
Calgary, AB
- Full-time
…solutions. This role demands a deep grasp of the technology (software, hardware, or integrated systems), and the ability to translate technical features into business benefits. You will…
Added 8 days ago
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Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
FDE Times
Toronto, ON
- Full-time
…for our clients, helping secure their cloud environments and software development processes. In this consulting role, you will tackle complex security challenges – performing analyses,…
Added 8 days ago
GD
Technical Sales, International Tactical Communications
General Dynamics Mission Systems–Canada
Calgary, AB
- Full-time
…solutions. This role demands a deep grasp of the technology (software, hardware, or integrated systems), and the ability to translate technical features into business benefits. You will…
Added 8 days ago
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Senior Software Engineer II, Decisioning Studio Integrations Team
Braze
Toronto, ON
- Full-time
We're looking for a Senior Software Engineer II to join the Decisioning Studio Integrations team building BrazeAI Decisioning Studio™. Decisioning Studio is a reinforcement learning…
Added 8 days ago
Agentic AI Software Backend & Platform Engineer
Siemens
Kitchener, ON
We are seeking a Backend & AI Engineer, for Siemens Digital Industries Operations Software to help build and scale our Agentic AI platform. The role focuses on solid backend engineering,…
Added 8 days ago
PG
Quality Engineer – AI Chatbot Validation
Pacer Group
Toronto, ON
- $40 to $45 CAD / hour
- Contract
5+ years of experience in Quality Engineering, QA, Software Testing, Test Automation, or Software Development.
Added 8 days ago
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Senior .NET Core Developer
Latium Technologies
Nisku, AB
- Full-time
7+ years professional experience in software development, with at least 3+ in .NET Core / .NET 6+.
Added 8 days ago
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Machine Learning Resident - Client: Trufla (12 month term)
Amii (Alberta Machine Intelligence Institute)
AB · Edmonton, AB
- Full-time
…project team with backgrounds in ML research, project management, software engineering, and new product development. This is a rare opportunity to be mentored by world-class scientists and…
Added 8 days ago
WT
Python & Database Engineer
Wissen Technology
Montreal, QC
- Full-time
…technology stack. Our services include Industry Leading Custom Software Development, AI-Driven Software Engineering, Generative AI & Machine Learning, Real-Time Data Analytics & Insights,…
Added 8 days ago
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Generative AI Consultant
Sia
Montreal, QC
- Full-time
LLM/GenAI System Development: Design, build, train, fine-tune, and deploy sophisticated AI models leveraging LLMs (e.g., GPT-x, Claude, Gemini, Llama, Mistral) and other generative…
Added 8 days ago
X
Staff Data Scientist - Decision Intelligence
Xanadu
Toronto, ON
- Full-time
As a Staff Data Scientist, you will lead the design and development of a unified decision intelligence product that fuses data from across Xanadu's R&D efforts – fabrication, device…

Siemens

Agentic AI Software Backend & Platform Engineer

Kitchener, ON, Canada

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Applications open in a new tab.

Job details

Posting language: English
Posted: Oct 21, 2026

Original job description

Change the future with us.

We are looking for dedicated and talented people who solve ever-changing challenges, customer needs, and questions from colleagues with clever concepts and creativity. We embrace change and work with curious minds re-inventing the future of work. Join us and let us focus together on what’s truly important: making lives better with new ideas and the latest technology around the world.

About the role: Backend & AI Engineer

We are seeking a Backend & AI Engineer, for Siemens Digital Industries Operations Software to help build and scale our Agentic AI platform. The role focuses on solid backend engineering, AI/ML engineering, pipeline development, data processing, and production readiness. You will help build industrial-grade AI agent systems that augment and automate real business workflows in industrial operations. Working within an established architecture and alongside senior engineers, you will develop and integrate agentic capabilities that are trustworthy, scalable, and measurable - contributing to how agentic systems are built across the organization.

With the resources of a large company and the energy of a software start-up, we have fun together while creating a world-class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth - so our people, our business, and our customers can achieve their full potential.

Siemens Digital Industries Operations Software is a suite of integrated digital solutions to engineer, simulate and operate manufacturing operations across industries. Operations Software includes our product portfolio in manufacturing engineering (COMOS, Tecnomatix, NX CAM, ...) & production operations (Win CC, Scada, PCS 7 / neo, Opcenter, Insights Hub, ...). The portfolio helps organizations across many different industries to improve operational efficiency, reduce costs, and enhance decision-making by providing real-time visibility and control across manufacturing and business processes.

Formula 1 cars, ships, mobile phones, space exploration vehicles, food & beverages, pharmaceuticals and many of the other objects we see in our daily lives are being conceived and produced using our software.

We're redefining the industrial world using data and AI to make production: Agile, Adaptive, Autonomous. Eliminate productivity boundaries for today’s and tomorrow’s production operation. Join our mission to build the most comprehensive next generation AI-native Industrial Operations Software portfolio as the new operation system for industry in the age of AI. With us you have the chance to now apply AI to where it really matters: In the physical world of an industrial production and engineering of real things.

As part of Siemens Operations Software (OPS-SW), the Technology, Data Fabric & Agentic AI organization provides the technology foundation that enables the next generation of industrial software. Its portfolio includes AI Production & Engineering Systems, Data Fabric, Agentic AI frameworks, connectivity platforms, semantic data models, cloud-native architectures, and industrial AI services that power autonomous, scalable, and intelligent operations across the OPS-SW portfolio.

What will you do?

Develop scalable backend services using Python
Contribute to AI pipelines including RAG configuration, evaluation, and quality validation
Build and maintain data ingestion, preprocessing, and transformation pipelines
Implement APIs for agent orchestration, data services, and AI interaction layers
Support platform hardening including performance improvements, monitoring, and observability
Collaborate with DevOps teams on CI/CD, deployment automation, and cloud infrastructure
Help ensure platform reliability, uptime, and scalability using DevOps and SRE best practices
Contribute to compute, storage, and inference cost optimization while maintaining performance and quality
Follow governance, access control, and compliance processes across AI workloads
Collaborate cross-functionally with product, data science, engineering, and security to deliver AI features and integrations
Troubleshoot production issues and help continuously improve the platform's architecture and performance
The role would evolve in scope as the product and team evolves

What you will bring:

Master’s degree or equivalent experience in Computer Science, Robotics, Artificial Intelligence, Software Engineering, Automation Engineering, or a related field.
Over 2 years of backend development in the AI space
Solid experience with Python backend development and familiarity with microservices architecture
Working knowledge of LLMs, RAG pipelines, and prompt engineering
Exposure to agent application frameworks
Hands-on experience with data pipelines; familiarity with vector databases and/or knowledge graphs
Experience with a major cloud platform (Azure preferred; Azure OpenAI a plus)
Working knowledge of containerization and CI/CD
Understanding of distributed systems and cloud-native or on-prem deployment (Docker, Kubernetes)

What sets you apart:

Exposure to multi-agent systems or orchestration frameworks
Familiarity with AI observability tools (e.g., Langfuse)
Awareness of enterprise AI governance, performance tuning, and security practices
Experience in regulated industries or enterprise platforms
Exposure to the NVIDIA AI stack (NeMo, NIM, Triton, NeMo Guardrails)
Mendix or comparable low-code integration experience
Industrial / OT background - OPC-UA, MQTT, MES, historians, or manufacturing data
Enterprise integration exposure (SAP, data fabric / streaming - Kafka)
Open-source contributions or published work in the agentic-AI / LLM space

Salary is commensurate with experience, and ranges between $ 90,000 CAD - $140,000 CAD, excluding bonus and benefits. In addition to base salary, this role includes eligibility for an annual discretionary bonus of 10% of base salary, based on Company performance metrics. 

Why you’ll love working for Siemens!

Join our Digital World

At Siemens Digital Industries Operations Software, flexibility is how we work – hybrid, built on trust and autonomy. We build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial operations software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow!

Our Benefits & Rewards

The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers a wide range of health and wellness benefits to employees

Our Commitment to Equity and Inclusion

We value equal opportunities and welcome applications from people with disabilities. At Siemens, we believe people who've had real experiences dealing with being different will excel as leaders. Let's foster a culture of creativity and innovation. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Siemens is proud to be an eight-time award winner of Canada’s Top 100 Employers, Canada’s Greenest Employers 2025 and Canada’s Top Employers for Young People 2025.

About us.

We share our ideas and champion the people behind them.

Siemens Canada is a leading technology company focused on industry, infrastructure, mobility and healthcare. The company’s purpose is to create technology with purpose, transforming the everyday, for everyone, since 1912. By combining the real and the digital worlds, Siemens empowers its customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more liveable, and transportation more sustainable. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

In fiscal 2024, which ended September 30, 2024, Siemens Canada had revenues of approx. $2.2 billion CAD. The company has approximately 4,400 employees from coast-to-coast and 37 office and production facilities across Canada.

To learn more about Siemens Canada, visit our website at www.siemens.ca

While we appreciate all applications we receive, we advise that only candidates under consideration will be contacted.

# OneOpsSW

Siemens is committed to creating a diverse environment and is proud to be an equal opportunity employer. Upon request, Siemens Canada will provide reasonable accommodation for disabilities to support participation of candidates in all aspects of the recruitment process. All qualified applicants will receive consideration for employment.

By submitting personal information to Siemens Canada Limited or its affiliates, service providers and agents, you consent to our collection, use and disclosure of such information for the purposes described in our Privacy Notice available at www.siemens.ca.

Siemens s’engage à créer un environnement diversifié et est fière d’être un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Sur demande, Siemens Canada prendra des mesures d’accommodement raisonnables pour les personnes handicapées, dans le but de soutenir la participation des candidats dans tous les aspects du processus de recrutement. Tous les candidats qualifiés seront pris en considération pour ce poste.

En transmettant des renseignements personnels à Siemens Canada limitée ou à ses sociétés affiliées, à ses fournisseurs de services ou à ses agents, vous nous autorisez à recueillir, à utiliser et à divulguer ces renseignements aux fins prévues dans notre Déclaration de protection de la confidentialité, que vous pouvez consulter au www.siemens.ca.

Job ID

516048

Posted since

06-Oct-2026

Organization

Digital Industries

Field of work

Research & Development

Company

Siemens Canada Limited

Experience level

Experienced Professional

Job type

Full-time

Work mode

Hybrid (Remote/Office)

Employment type

Permanent

Location(s)

Kitchener - Ontario - Canada

Apply About employer

More about this job

Responsibilities

Develop scalable Python backend services, APIs, and data pipelines, and contribute to AI pipelines involving RAG configuration, evaluation, and quality validation. Improve platform reliability, performance, observability, security, and cost efficiency while collaborating with DevOps and cross-functional teams to deploy industrial AI capabilities.

Requirements

A master’s degree or equivalent experience in a relevant technical field and more than two years of backend development in AI are required. Candidates should have Python backend experience, working knowledge of LLMs, RAG, and prompt engineering, and familiarity with data pipelines, cloud platforms, containers, CI/CD, and distributed systems.

Skills

Python Backend Development
Microservices Architecture
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
AI Agent Frameworks
Data Pipelines
Vector Databases
Knowledge Graphs
Azure
Docker
Kubernetes
CI/CD
Distributed Systems
Cloud-Native Architecture
AI Observability

Benefits

Health And Wellness Benefits
Annual Discretionary Bonus
Hybrid Work
Global Mobility

Visa sponsorship

Not detected in the job text

Keywords

Python
Backend Engineering
Microservices
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
Agentic AI
Multi-Agent Systems
AI Pipelines
Data Ingestion
Data Preprocessing
Data Transformation
Vector Databases
Knowledge Graphs
Azure
Azure OpenAI
Docker
Kubernetes
CI/CD
Distributed Systems
Cloud-Native Architecture
DevOps
Site Reliability Engineering
AI Observability
Langfuse
NVIDIA NeMo
NVIDIA NIM
NVIDIA Triton
NeMo Guardrails
Industrial Operations

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