Jobs in Canada

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Added 17 hours ago
TG
AI Engineering Intern
TMX Group
Toronto, ON
- $25 to $28 CAD / hour
- Full-time
Must Have(s)
Added 17 hours ago
M
Manager, Software Development and Architecture
Moneris
Toronto, ON
- Full-time
…architecture through release and production support. You will shape Java microservices and application programming interface (API) strategy, guide distributed teams, and partner with…
Added 17 hours ago
DI
Full Stack Developer(Angular)
Dawn InfoTek
Toronto, ON
- Contract
We’re looking for Full Stack Developer to join our team and work on modern, scalable applications across both frontend and backend technologies. If you’re passionate about building…
Added 18 hours ago
A
AI Native Developer (Agentic / Applied)
Accenture
Montreal, QC
- Full-time
…inside real client organizations. The difference between an AI Developer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned…
Added 18 hours ago
SI
Java Backend Developer -- Telecom Domain
Spruce InfoTech Inc.
Toronto, ON
- Contract
6+ years of experience in designing and developing enterprise applications using Java 8+, Spring Boot, Microservices, REST/SOAP web services, GraphQL, and Swagger/OpenAPI.
Added 18 hours ago
T
Financial Services - Principal Architect
Talentmatics
Mississauga, ON
- Full-time
Strong knowledge of microservices, event-driven architecture, API-first design, and domain-driven design.
Added 18 hours ago
C
Senior Software Engineer (.NET Ecosystem)
ClickHouse
Remote, Canada
- Full-time
- Remote
…team maintains the official clients for Python, JavaScript, Java, Go, Rust, C++ and C#, plus the ODBC, JDBC and ADBC drivers. We're small, senior and remote across North America and…
Added 18 hours ago
T
Software Engineer I
TD
Toronto, ON
- Full-time
4 days per week in the office at a designated TD location
Added 18 hours ago
KR
Senior Full Stack & Mobile Application Developer
KTek Resourcing
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are looking for an experienced Full Stack Developer with 6–10 years of experience in developing web and mobile applications across Front-End, Back-End, iOS, and Android platforms. The…
Added 18 hours ago
C
Sr. Consultant, Java Back End Developer
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 19 hours ago
Lead Full Stack Engineer
Scotiabank
Toronto, ON
Back-End: Node.js, Java (Java 8+), Spring Boot, RESTful API development, Fastify.
Added 19 hours ago
VC
Senior Commerce Engineer
Valsoft Corporation
Remote, Canada
- $120,000 to $135,000 CAD / year
- Remote
Own the product’s technical evolution across Java and Spring Boot services, Oracle, JavaScript and server-side templates.
Added 19 hours ago
SM
RQ11836 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Onsite – 5 Days per Week
Added 19 hours ago
AI
Full Stack Digital Developer – Java, Springboot, Rest API, Microservices
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Kitchener, ON
- Full-time
Location: Hybrid (2 days per week in office)
Added 19 hours ago
QW
Lead java full Stack Developer
Quantum World Technologies Inc.
Kitchener, ON
- Contract
Design, develop, and support scalable Java-based microservices and REST APIs.
Added 20 hours ago
A
AI Native Developer (Agentic / Applied)
Accenture
Ottawa, ON
- Full-time
…inside real client organizations. The difference between an AI Developer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned…
Added 20 hours ago
H
Senior Application Security Engineer
Hays
Mississauga, ON
- Full-time
This role focuses on identifying, assessing, and reducing application and API security risk through threat modeling, secure design reviews, vulnerability management, and the…
Added 21 hours ago
SM
RQ11874 – Specialized IT Consultant – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Onsite – 5 Days per Week
Added 21 hours ago
SM
RQ11847 – Technology Architect – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 hours ago
KS
Quality Assurance Automation Engineer
Kumaran Systems
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…ideal candidate will have strong expertise in test automation, API testing, AI-assisted quality engineering, and modern testing frameworks. The candidate will work closely with developers,…
Added 22 hours ago
AC
Development Lead
Air Canada
Toronto, ON · Dorval, QC
- Full-time
The Development Lead is a senior, hands-on developer who drives sprint execution and delivery outcomes within an Agile delivery pod, and who practices AI-first, agentic engineering as the…
Added 23 hours ago
M
Senior Android SDK Developer
MapsPeople
Toronto, ON
- Full-time
Strong Kotlin–Java interoperability expertise, including platform limitations, migration patterns, API design, and best practices for evolving mixed-language codebases
Added 1 day ago
V
Senior Software Engineer
Virtusa
Mississauga, ON
- Full-time
Programming/Scripting: knowledge and experience with Shell scripting, Python, Perl, Java, C/C++
Added 1 day ago
SM
RQ11874 – Specialized IT Consultant – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Onsite – 5 Days per Week
Added 1 day ago
SM
RQ11836 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Onsite – 5 Days per Week

Accenture

AI Native Developer (Agentic / Applied)

Ottawa, ON, Canada

Full-time

Apply on LinkedIn About employer

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Job details

Job type: Full-time
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Role Description

You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Developer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it.

As an AI Developer (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client development teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements.

This role sits at the heart of the AI development talent market - demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google technical teams and a direct pathway to the Forward Deployed Developer program.

Key Responsibilities

Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability

Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window design and tuning against real quality targets

Integrate and abstract across multiple LLM providers - OpenAI, Anthropic, Vertex AI, and open-source models - with fallback routing, token, cost, and latency management

Implement LLM Ops in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring

Embed directly with client development teams to design, prototype, and deploy agentic solutions - workshops, proofs of concept, code-with sessions, and architecture walkthroughs

Build reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start faster

Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business terms

Basic Qualifications

Required qualifications

7+ years of software development experience in production environments

Minimum of 1 year of experience designing and deploying agentic AI solutions in production environments

Experience with agentic orchestration frameworks, including LangGraph, CrewAI, AutoGen, or equivalent

Experience integrating and calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production systems, including provider abstraction, token management, and cost/latency optimization

Experience building and operating RAG pipelines, including embeddings, chunking strategy, vector search, and context design

Experience implementing LLM Ops practices, including eval harness design, prompt versioning, and observability tooling

Experience with cloud-native systems, including Kubernetes, Docker, microservices, serverless architectures, CI/CD, and infrastructure as code (Terraform or Helm)

Proficiency in Python; experience with Java or equivalent backend language acceptable

Experience debugging and monitoring production systems

Experience deploying multiple production agentic AI systems

Experience defining or standardizing RAG, LLM integration, or LLM Ops practices across projects

Experience working directly with client development teams in collaborative development environments

Experience building reusable frameworks, accelerators, or delivery playbooks

Experience defining and tracking AI system performance metrics such as accuracy, latency, safety, and cost

Bachelor’s degree or college diploma in a related field.

English is required for this position as this role will be aligned to multi-national teams where English is the common language across our North America Market. Due to the significant high volume of interactions with these English-speaking multi-national teams, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location,

role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time

employment, for roles that may be hired as set forth below.

The recruiting efforts for this position are intended to fill a brand new position.

The base pay range shown below is intended as a guideline to reflect the majority of offers for this role.

It does not represent a maximum limit - in some cases, actual compensation may exceed the range where appropriate.

Information on benefits is here.

Role Location Annual Salary Range

British Columbia/Ontario/New Brunswick $100,300 to $216,700

and

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, build, and deploy production-grade agentic AI systems, including multi-agent orchestration, RAG pipelines, provider integrations, and LLM operations. Work with client development teams to deliver solutions, define performance metrics, and create reusable patterns, accelerators, and playbooks.

Requirements

Requires at least 7 years of production software development experience, including at least 1 year designing and deploying agentic AI solutions in production, plus experience with orchestration frameworks, LLM APIs, RAG, and LLM operations. Candidates need Python proficiency, cloud-native and production operations experience, client collaboration skills, and a related bachelor's degree or college diploma.

Skills

Agentic AI Systems
Multi-Agent Orchestration
Retrieval-Augmented Generation
Python
LLM API Integration
LLM Operations
Evaluation Harnesses
Prompt Versioning
Vector Search
Kubernetes
Docker
Microservices
CI/CD
Terraform
Production Monitoring
Client Collaboration

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Multi-Agent Systems
LangGraph
CrewAI
AutoGen
RAG
Embeddings
Chunking Strategy
Vector Search
OpenAI
Anthropic
Vertex AI
LLM Operations
Evaluation Harness
Prompt Versioning
LangSmith
Braintrust
Python
Kubernetes
Docker
Microservices
Serverless Architecture
CI/CD
Terraform
Helm
Observability
Token Management
Cost Optimization
Latency Optimization
Infrastructure as Code

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Jobs in Canada