Jobs in Canada

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Added 2 hours ago
R
Senior Full Stack Engineer (Rails & React)
REW.ca
Vancouver, BC
- Full-time
Support the development of front-end services using both Rails native (haml) and React technologies, integrating these with back-end services.
Added 2 hours ago
M
Cloud Solution Architect / Cloud + AI Platform Full-time LOA backfill
Microsoft
Toronto, ON
- Full-time
…such as Azure SQL, PostgreSQL, AKS, App Service, AVS, SAP (Native + RISE), Windows, Linux and Defender for…
Added 2 hours ago
M
Azure Digital Solution Area Specialist- Oil & Gas
Microsoft
Calgary, AB · Vancouver, BC · Goodwood, ON
- Full-time
Inspire and Influence: Bring technical fluency and inclusive leadership to virtual teams. Solve challenges with expertise in virtualization, cloud-native tech, data modernization, and AI.
Added 3 hours ago
AI
Fullstack Technical Lead – Commercial Lending & Asset Finance
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
…software ecosystem, building modern integrations, and overseeing cloud-native deployments for complex commercial loan and equipment financing…
Added 4 hours ago
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Manager, Security GRC
nesto
Canada
- Full-time
Nesto Cloud is Canada's cloud-native and AI driven, end-to-end mortgage technology platform, helping financial institutions modernize lending through AI intelligent automation, AI & Cloud…
Added 4 hours ago
E
Firmware Developer
Epiroc
Pitt Meadows, BC
- Full-time
Join Our Team as a Firmware Developer at Epiroc!
Added 4 hours ago
Senior Data Scientist
Conviva
Toronto, ON
AI-native developer: actively uses AI tools (Claude, Cursor, GitHub Copilot, or equivalent) in daily workflow for coding, debugging, and solution design - not just awareness, but habitual,…
Added 4 hours ago
S
Associate Customer Success Manager - French
ServiceNow
Montreal, QC
- Full-time
…500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting…
Added 4 hours ago
I
Technology Analyst - GenAI
Infosys
Mississauga, ON
- Full-time
Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
Added 4 hours ago
D
Software Developer
dormakaba
Montreal, QC
- Full-time
dormakaba is seeking an experienced Software Developer based in Montreal, specializing in backend development with deep expertise in Node.js and TypeScript. The Software developer will be…
Added 4 hours ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
Added 4 hours ago
AI
Quality Engineer (QE) / SDET – AI Chatbot Validation
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Experience testing cloud-native applications and distributed microservice architectures.
Added 4 hours ago
AE
Campus Undergraduate Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Toronto, Ontario, CN
American Express
Toronto, ON
- Full-time
Integrate APIs, AI models, security tools, cloud services, containers, data sources, and development environments to support research and prototyping.
Added 4 hours ago
IG
Quality Engineer – AI Chatbot Validation
IMCS Group
ON · Ontario, Canada
- Contract
Experience testing cloud-native applications and distributed microservice architectures.
Added 5 hours ago
C
Senior Data Scientist
Conviva
Toronto, ON
- Full-time
AI-native developer: actively uses AI tools (Claude, Cursor, GitHub Copilot, or equivalent) in daily workflow for coding, debugging, and solution design - not just awareness, but habitual,…
Added 5 hours ago
M
Senior Cloud Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Hands-on experience building and integrating RESTful APIs, web services, and cloud-native applications.
Added 5 hours ago
TL
Senior Data Engineer (Modern Data Stack) [Only Canada]
Tekton Labs
Canada
- Full-time
Leverage cloud services (AWS and Azure) to manage data lake storage, compute resources, and secure data sharing.
Added 5 hours ago
TI
Quality Engineer (QE) / SDET – AI Chatbot Validation
Tekgence Inc
Brampton, ON
- Contract
Experience testing cloud-native applications and distributed microservice architectures.
Added 6 hours ago
PI
Senior Database Reliability Engineer
PENN Interactive
Canada
- Full-time
…database production issues and utilizing the latest and greatest cloud technologies. We’re looking for excited individuals who want to be immersed in our Cloud Native (K8) platforms. Using…
Added 6 hours ago
ST
AI Software Engineer
SS&C Technologies
Toronto, ON
- Full-time
Strong knowledge of REST APIs, microservices, and cloud-native technologies.
Added 6 hours ago
ST
AI Software Engineer
SS&C Technologies
Toronto, ON
- Full-time
Strong knowledge of REST APIs, microservices, and cloud-native technologies.
Added 6 hours ago
Technology Lead
Infosys
ON
Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
Added 6 hours ago
Technology Analyst
Infosys
ON
Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
Added 6 hours ago
K
Senior Data Integration Developer, Fabric
KPMG
Toronto, ON · ON · Vaughan, Ontario
- Full-time
The Senior Data Integration Developer (Fabric) designs, builds, and supports secure, scalable data integration solutions for KPMG Canada’s internal clients through the Enterprise Analytics…
Added 6 hours ago
GeoComply Graduate Rotational Program (Technology)
GeoComply
Vancouver, BC
☐ DevOps and Cloud Infrastructure: keeping everything running at scale

Infosys

Technology Analyst - GenAI

Mississauga, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 2, 2026
Education: Bachelor’s degree
Experience: 3–5 years of experience in software engineering, machine learning, or data science, with hands-on experience in GenAI or LLM-based systems.
Posting language: English
Posted: Nov 2, 2026

Original job description

Infosys is seeking a hands-on Gen AI / Agentic AI Engineer to design, develop, and deploy next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for an engineer with strong technical depth, a passion for building AI-powered applications, and experience delivering production-grade GenAI solutions in a fast-paced, innovation-driven environment.

Required Qualifications

Candidate must be located within commuting distance of Mississauga, ON (Canada) or be willing to relocate to the area.
Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
Candidates authorized to work for any employer in Canada without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time
Bachelor’s degree in computer science, AI/ML, or related field.
3–5 years of experience in software engineering, machine learning, or data science, with hands-on experience in GenAI or LLM-based systems.

Key Qualifications :

Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI).
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search).
Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP).
Experience with REST API development (FastAPI, Flask) and containerization (Docker).
Solid understanding of AI governance, model safety, and prompt engineering.
Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT.
Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search.
Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
Work with unstructured data (PDFs, HTML, audio, images) and multimodal models.
Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking.
Evaluate model performance using tools like RAGAS, DeepEval, and FMeval.
Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions.
Mentor junior engineers and contribute to code reviews, design discussions, and best practices.
Exposure to agentic workflows and autonomous agents.
Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform).
Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs.
Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems.
Experience with multimodal models and perception systems (e.g., vision + language).

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face-to-face.

Estimated annual compensation range for the candidate based in the below location will be:

Ontario: $ 72783 to $ 105007

About Us

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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More about this job

Responsibilities

Design, develop, and deploy production-grade generative AI applications using large language models, agentic frameworks, and optimized retrieval-augmented generation pipelines. Integrate and evaluate AI solutions with cloud services and unstructured or multimodal data, while collaborating across teams and contributing to engineering practices, reviews, and mentorship.

Requirements

Requires a bachelor's degree in computer science, AI/ML, or a related field, or qualifying progressive experience in lieu of education, and 3–5 years of relevant software engineering, machine learning, or data science experience with hands-on GenAI or LLM work. Candidates should have strong Python and AI framework skills, experience with vector databases, cloud platforms, APIs, containers, model fine-tuning and evaluation, and knowledge of AI governance and safety; authorization to work in Canada without employer-based sponsorship is required.

Skills

Generative AI
Agentic AI
Large Language Models
Retrieval-Augmented Generation
Python
LangGraph
AutoGen
CrewAI
Hugging Face Transformers
LangChain
PyTorch
Vector Databases
Cloud Platforms
REST API Development
Prompt Engineering
LLMOps

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Agentic AI
Large Language Models
Retrieval-Augmented Generation
LangGraph
AutoGen
CrewAI
Python
Hugging Face Transformers
LangChain
PyTorch
FAISS
Pinecone
Weaviate
Azure AI Search
AWS Bedrock
Azure OpenAI
Google Vertex AI
FastAPI
Flask
Docker
LoRA
QLoRA
PEFT
RAGAS
DeepEval
FMeval
LLMOps
CI/CD
Terraform

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