Jobs in Canada

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Added 4 days ago
V
Fullstack Java Developer (w/Angular & Postgres) - Cambridge, ON
VectorVue
Canada
- Full-time
Must Have Requirements:
Added 4 days ago
TI
PYTHON FULL STACK DEVELOPER WITH JAVA
Tekgence Inc
Mississauga, ON
- Full-time
Java and Python We are seeking a skilled Backend Developer with 5 to 8 years of experience in designing, developing, and maintaining scalable backend applications. The ideal candidate will…
Added 4 days ago
TI
JAVA DEVELOPER WITH SOLACE
Tekgence Inc
Mississauga, ON
- Full-time
Skills Design, develop, and maintain high-quality Java with Solace / ION / Python applications using SpringBoot. Proficiency in Java core 8+ is a must. Proficiency in Junit. Implement…
Added 4 days ago
TI
Python full stack developer
Tekgence Inc
Mississauga, ON
- Full-time
Java and Python We are seeking a skilled Python full stack developer with 9+ years of experience in designing, developing, and maintaining scalable backend applications. The ideal candidate…
Added 4 days ago
IS
QE Lead
Iris Software Inc.
Toronto, ON
- Contract
Strong experience testing REST APIs, microservices and enterprise integrations.
Added 4 days ago
CL
CCAIP (IVR) Integration Developer
Cloudious LLC
Toronto, ON · North York, ON
- Contract
● IVR Runtime Manager: As an IVR developer or integrator, the person will administer, deploy, and monitor IVR applications and microservices
Added 4 days ago
MS
Sr .Net developer
Millennium Software and Staffing Inc
Montreal, QC
- Contract
Familiarity with Java, Spring Boot, Spring MVC, and Java-based REST APIs/microservices.
Added 4 days ago
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Java Developer
Collabera
Mississauga, ON
- $60 to $75 CAD / hour
- Full-time
We are looking for an experienced Java Developer to design and develop enterprise-scale web applications and cloud-based services. The role focuses on building internal tools and platforms…
Added 4 days ago
CC
RQ11844 - Software Developer
CCI- Computer Consultants International, Inc.
Toronto, ON
- Full-time
Must Have Experience:
Added 4 days ago
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Senior Java Developer (with LLM expertise)
Miratech
Waterloo, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 4 days ago
BC
AI Engineer
BDO Canada
Toronto, ON
- Full-time
Integrate AI capabilities into existing enterprise environments through RESTful APIs, microservices, and cloud‑native architectures.
Added 5 days ago
AW
Application Development Manager
Agilus Work Solutions
Mississauga, ON
- $140,000 to $155,000 CAD / year
- Full-time
Experience with REST APIs, Microservices, and Enterprise Integrations
Added 5 days ago
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CCAIP (IVR) Integration Developer
UST
Toronto, ON
- Full-time
IVR Runtime Manager: As an IVR developer or integrator, administer, deploy, and monitor IVR applications and microservices.
Added 5 days ago
SE
Software Engineer
SmartSource Electronics
Mississauga, ON
- Full-time
Proficiency in Software Development and Programming, with experience in at least one modern language (e.g., Java, C#, Python, JavaScript/TypeScript).
Added 5 days ago
U
Directeur principal, Ingénierie logicielle – WFM / Sr Dir. Software Development - WFM
UKG
Montreal, QC
- Full-time
Expertise approfondie en Java, applications web, technologies infonuagiques et applications natives d’intelligence artificielle.
Added 5 days ago
U
Directeur principal, Ingénierie logicielle – WFM / Sr Dir. Software Development - WFM
UKG
Montreal, QC
- Full-time
Expertise approfondie en Java, applications web, technologies infonuagiques et applications natives d’intelligence artificielle.
Added 5 days ago
AI
Senior Java- Low Latency Developer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Mississauga, ON
- Full-time
Design, develop, test, and maintain enterprise-grade Java applications.
Added 5 days ago
AI
SENIOR JAVA DEVELOPER – SPRING BOOT, MICROSERVICES, KAFKA & MONGODB
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Mississauga, ON
- Full-time
Design, develop, and maintain Java-based microservices.
Added 5 days ago
BS
Senior Java Developer (FinTech & Payment Technologies)
Brainhunter Systems Ltd
ON · Ontario, Canada
- Contract
Work Style: Hybrid Work arrangement - 3 days per week in the office required
Added 5 days ago
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Java/ React Developer
Synechron
Calgary, AB
- Full-time
We are looking for a Java developer to join our team and help deliver key initiatives. The candidate should be a solid Java programmer, with strong design and implementation fundamentals.…
Added 5 days ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Automate API workflows, backend validations, and data-processing scenarios using Java or Python.
Added 5 days ago
BP
Senior Java Developer
BNP Paribas
Montreal, QC
- Full-time
You’ll be required in the office at least three days per week, with one of those days being either a Monday or a Friday
Added 5 days ago
C
Java/Spring Boot Developer - Vice President
Citi
Mississauga, ON
- Full-time
Join the Equities Middle Office Technology team as a Senior Java/Spring Boot Developer, where you will be a key contributor for managing complex BAU deliverables while driving strategic…
Added 5 days ago
TI
Full Stack Engineer
Tekgence Inc
Montreal, QC
- Contract
We are seeking an experienced Java Full Stack Developer with strong expertise in Java, Spring Boot, and Angular to develop, maintain, and troubleshoot scalable enterprise applications.
Added 5 days ago
ST
Multiple Automation Tester Role
Silverlink Technologies
Brampton, ON
- Contract
2. Automation Developer (Python & Cross-Platform SDET)

BDO Canada

AI Engineer

Toronto, ON, Canada

The expected range of compensation for this role is $77,000 to $117,000 annually. · Full-time

Apply on LinkedIn About employer

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Job details

Pay: The expected range of compensation for this role is $77,000 to $117,000 annually.
Job type: Full-time
Apply by: Nov 20, 2026
Posting language: English
Posted: May 11, 2026

Original job description

Putting people first, every day

BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and insight they can trust. In turn, we offer an award-winning environment that fosters a people-first culture with a high priority on your personal and professional growth.

Your Opportunity

As an experienced AI Engineer, you will design, build, and deploy production‑grade AI solutions that bridge experimental machine learning with scalable software engineering. In this replacement role, you will play a critical role in enabling enterprise‑ready AI capabilities with a strong focus on large language models (LLMs), retrieval‑augmented generation (RAG), and agentic workflows, operating within established governance frameworks.

Responsibilities:

Design, build, and deploy robust, scalable, production‑grade AI applications using frameworks such as LangChain, LlamaIndex, AutoGPT, and related LLM orchestration tools.
Develop, refine, and optimize complex prompt strategies; manage model context windows; and fine‑tune models where required to maximize performance, accuracy, and cost efficiency.
Integrate AI capabilities into existing enterprise environments through RESTful APIs, microservices, and cloud‑native architectures.
Build, maintain, and optimize vector databases (e.g., Pinecone, Milvus, Weaviate) and design efficient data ingestion and embedding pipelines to support retrieval‑augmented generation (RAG) solutions.
Monitor AI systems in production and proactively address issues related to hallucinations, latency, reliability, scalability, and token‑cost optimization.
Collaborate closely with AI Architects, AI Studio Leads, ML Engineers, Data Scientists, Full‑Stack Developers, Service Line Labs, and Citizen Developers on firm‑wide initiatives and internal platforms.
Support AI system documentation, lifecycle management, and control processes in alignment with ISO/IEC 42001 enterprise governance requirements.
Adhere to established AI risk management, data governance, and security policies, and assist with model inventories, traceability, and change‑management activities.
Participate in model testing and validation activities in accordance with the NIST AI Risk Management Framework, including mapping and measuring model risks.
Support the implementation of risk‑mitigation controls and ongoing monitoring, and follow governance processes that promote transparency, accountability, and responsible AI use.

The expected range of compensation for this role is $77,000 to $117,000 annually.

How do we define success for your role?

You demonstrate BDO's core values through all aspect of your work: Integrity, Respect and Collaboration
You understand your client’s industry, challenges, and opportunities; clients describe you as positive, professional, and delivering high quality work
You identify, recommend, and are focused on effective service delivery to your clients
You share in an inclusive and engaging work environment that develops, retains & attracts talent
You actively participate in the adoption of digital tools and strategies to drive an innovative workplace
You grow your expertise through learning and professional development.

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with 3–5 years of professional experience in AI, machine learning, or applied software engineering.
Expert‑level proficiency in Python, with working familiarity in Java and/or TypeScript for enterprise application development.
Deep hands‑on experience with leading AI and LLM frameworks, including OpenAI APIs, Anthropic, Hugging Face, and LangGraph, along with a strong understanding of LLM‑based application design.
Proven experience designing and implementing retrieval‑augmented generation (RAG) and agentic AI systems, supported by a solid grasp of scalable, production‑grade AI architectures.
Experience working with vector databases as well as SQL and NoSQL data stores, and hands‑on exposure to cloud platforms such as Azure AI / AI Foundry, AWS Bedrock, or Google Cloud Platform (GCP).
Practical experience with DevOps and MLOps practices, including Docker, Kubernetes, and CI/CD pipelines for machine learning workloads.
Familiarity with machine learning lifecycle and experiment‑tracking tools such as MLflow or Weights & Biases.

Why BDO?

Our people-first approach to talent has earned us a spot among Canada’s Top 100 Employers for 2026. This recognition is a milestone we’re thrilled to add to our collection of awards for both experienced and student talent experiences.

Our firm is committed to providing an environment where you can be successful in the following ways:

We enable you to engage with how we change and evolve, being a key contributor to the success and growth of BDO in Canada.
We help you become a better professional within our services, industries, and markets with extensive opportunities for learning and development.
We support your achievement of personal goals outside of the office and making an impact on your community.

Giving back adds up: Where company meets community. BDO is actively involved in our communities by supporting local charity initiatives. We support staff with local and national events where you will be given the opportunity to contribute to your community.

Total rewards that matter: We pay for performance with competitive total cash compensation that recognizes and rewards your contribution. We provide flexible benefits from day one, and a market leading personal time off policy. We are committed to supporting your overall wellness beyond working hours and provide reimbursement for wellness initiatives that fit your lifestyle.

Everyone counts: We believe every employee should have the opportunity to participate and succeed. Through leadership by our Diversity, Equity and Inclusion Leader, we are committed to a workplace culture of respect, inclusion, and diversity. We recognize and celebrate the valuable differences among each of us, including race, religious beliefs, physical or mental disabilities, age, place of origin, marital status, family status, gender or gender identity and sexual orientation. If you require accommodation to complete the application process, please contact us.

Flexibility: All BDO personnel are expected to spend some of their time working in the office, at the client site, and virtually unless accommodations or alternative work arrangements are in place.

Our model is a blended approach designed to support the flexible needs of our people, the firm and our clients. It’s about creating work experiences that meet everyone’s needs and providing flexibility to adjust when, where and how we work to meet the expectations of our role.

Code of Conduct: Our Code of Conduct sets clear standards for how we conduct business. It reflects our shared values and commitments and includes guiding principles to help us make ethical decisions and maintain trust with each other, our clients, and the public.

BDO may use artificial intelligence enabled tools to support certain aspects of the recruitment process. While these tools assist our teams, our use of AI does not replace human decision making, and all employment-related outcomes are made by BDO personnel.

More information on BDO Canada’s Privacy Policy can be found here: Privacy Policy | BDO Canada

Ready to make your mark at BDO? Click “Apply now” to send your up-to-date resume to one of our Talent Acquisition Specialists.

To explore other opportunities at BDO, check out our careers page.

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More about this job

Responsibilities

Design, build, deploy, and monitor production-grade AI applications, including LLM, RAG, and agentic systems, and integrate them into enterprise environments using APIs, cloud architectures, and data pipelines. Support AI governance, risk management, documentation, testing, validation, and ongoing monitoring in accordance with established frameworks and policies.

Requirements

Requires a bachelor’s or master’s degree in computer science, engineering, or a related field, with 3–5 years of professional experience in AI, machine learning, or applied software engineering. Candidates should have expert Python skills, hands-on experience with LLM frameworks, RAG and agentic systems, vector and other databases, cloud platforms, and DevOps/MLOps tools and practices.

Skills

Python
Java
TypeScript
Large Language Models
Retrieval-Augmented Generation
Agentic AI
Prompt Engineering
LangChain
LlamaIndex
LangGraph
Vector Databases
RESTful APIs
Cloud-Native Architecture
Docker
Kubernetes
MLOps

Benefits

Flexible Benefits
Personal Time Off
Wellness Reimbursement
Learning And Development Opportunities
Community Involvement Opportunities
Flexible Work Arrangements

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Large Language Models
Retrieval-Augmented Generation
Agentic Workflows
Python
Java
TypeScript
OpenAI APIs
Anthropic
Hugging Face
LangChain
LlamaIndex
LangGraph
AutoGPT
Prompt Engineering
Vector Databases
Pinecone
Milvus
Weaviate
RESTful APIs
Microservices
Azure AI
AWS Bedrock
Google Cloud Platform
Docker
Kubernetes
CI/CD
MLflow
Weights & Biases

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Work requirements

Jobs in Canada