Jobs in Canada

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Added 25 days ago
AI
Sr AI Engineer
Apptoza Inc.
Toronto, ON
- Contract
AI Frameworks & Architectures: Deep hands-on experience with LangChain, LlamaIndex, Amazon Bedrock, Agentic AI, MCP, and Graph/RAG architectures.
Added 25 days ago
AI Developer
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
We are looking for an AI Engineer with a strong cloud, software-development and full-stack engineering background to design and build secure, scalable and user-centred AI applications. This…
Added 25 days ago
BH
Software Engineer
Beacon Holdings
Toronto, ON
- Full-time
This is a high-impact, hands-on software engineering role. You will spend your time working alongside domain leaders within Beacon to identify high-leverage workflows and deploy agentic AI…
Added 25 days ago
S
Head of Security
Super.com
Remote, Canada
- Full-time
- Remote
…directly, with day-to-day technical leadership from a Staff engineer. An IT & Compliance function covering IT, GRC, and Corporate Security is led by a Director who also reports to you. This…
Added 25 days ago
LI
Sr AI Engineer
LanceSoft, Inc.
Toronto, ON
- $70 to $75 CAD / hour
- Contract
AI Frameworks & Architectures: Deep hands-on experience with LangChain, LlamaIndex, Amazon Bedrock, Agentic AI, MCP, and Graph/RAG architectures.
Added 25 days ago
PG
Artificial Intelligence Engineer
Pacer Group
Toronto, ON
- $75 to $78 CAD / hour
- Contract
Deep hands-on experience with LangChain, LlamaIndex, Amazon Bedrock, Agentic AI, MCP, and Graph/RAG architectures.
Added 25 days ago
MT
Physical Design Engineer
Mirafra Technologies
Canada
- Full-time
We are seeking a Physical Design Engineer with a strong foundation in Static Timing Analysis (STA) and a focus on design flow automation. In this role, you will be responsible for driving…
Added 25 days ago
AI
Sr AI Engineer
Apptoza Inc.
Toronto, ON
- Contract
AI Frameworks & Architectures: Deep hands-on experience with LangChain, LlamaIndex, Amazon Bedrock, Agentic AI, MCP, and Graph/RAG architectures.
Added 25 days ago
AI
Sr AI Engineer
Apptoza Inc.
Toronto, ON
- Contract
AI Frameworks & Architectures: Deep hands-on experience with LangChain, LlamaIndex, Amazon Bedrock, Agentic AI, MCP, and Graph/RAG architectures.
Added 25 days ago
JG
Senior AI Engineer
J&M Group
Toronto, ON
- Full-time
AI Frameworks & Architectures: Deep hands-on experience with LangChain, LlamaIndex, Amazon Bedrock, Agentic AI, MCP, and Graph/RAG architectures.
Added 25 days ago
KG
Forward Deployed Engineer (Python/PySpark, LLM)
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Position: Forward Deployed Engineer (Python/PySpark, LLM)
Added 25 days ago
CL
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
We are looking for a highly motivated Sr. AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments.…
Added 25 days ago
CL
Senior Okta Engineer (IAM)
Charger Logistics Inc.
Brampton, ON
- Full-time
We're looking for a Senior Okta Engineer to own our Okta environment hands-on. You'll be our go-to Okta expert, running SSO, provisioning, governance and privileged access for our…
Added 25 days ago
CL
Data Scientist
Charger Logistics Inc.
Brampton, ON
- Full-time
…logistics optimization, and operational decision-making. This is a hands-on role focusing on production-grade ML, real-time and streaming analytics, and AI-driven decision systems built on…
Added 25 days ago
FI
Principal Software Engineer - Zynque
Fulfillment IQ
Toronto, ON
- Full-time
Job Title: Principal Software Engineer - Zynque
Added 25 days ago
ED
Senior Software Engineer - EN 881
Export Development Canada | Exportation et développement Canada
Toronto, ON
- $96,557 to $128,743 CAD / year
- Full-time
Export Development Canada operates in a hybrid work environment, currently requiring employees to work in the office 3 days per week
Added 25 days ago
ED
Senior Software Engineer - EN 881
Export Development Canada | Exportation et développement Canada
Montreal, QC
- $96,557 to $128,743 CAD / year
- Full-time
Export Development Canada operates in a hybrid work environment, currently requiring employees to work in the office 3 days per week
Added 25 days ago
ED
Senior Software Engineer - EN 881
Export Development Canada | Exportation et développement Canada
Vancouver, BC
- $96,557 to $128,743 CAD / year
- Full-time
Export Development Canada operates in a hybrid work environment, currently requiring employees to work in the office 3 days per week
Added 25 days ago
V
Python GenAI Developer
Virtusa
Mississauga, ON
- Full-time
Design and implement scalable software solutions using modern technology stacks. In-depth knowledge and hands-on experience with Python frameworks like Django, Flask, FastAPI, or others…
Added 25 days ago
ED
Senior Software Engineer - EN 881
Export Development Canada | Exportation et développement Canada
Calgary, AB
- $96,557 to $128,743 CAD / year
- Full-time
Export Development Canada operates in a hybrid work environment, currently requiring employees to work in the office 3 days per week
Added 25 days ago
V
Python Gen AI Developer
Virtusa
Mississauga, ON
- Full-time
Design and implement scalable software solutions using modern technology stacks. In-depth knowledge and hands-on experience with Python frameworks like Django, Flask, FastAPI, or others…
Added 25 days ago
ED
Senior Software Engineer - EN 881
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $96,557 to $128,743 CAD / year
- Full-time
Export Development Canada operates in a hybrid work environment, currently requiring employees to work in the office 3 days per week
Added 25 days ago
ED
Senior Software Engineer - EN 881
Export Development Canada | Exportation et développement Canada
Halifax, NS
- $96,557 to $128,743 CAD / year
- Full-time
Export Development Canada operates in a hybrid work environment, currently requiring employees to work in the office 3 days per week
Added 25 days ago
N
Sr. Applied R&D Engineer
Nokia
Ottawa, ON
- Full-time
As an NI IP TEC Engineer, you will be a key technical contributor, responsible for gaining in-depth knowledge of supported products and representing them confidently. This role offers an…
Added 25 days ago
C
Software Engineer
Citi
Mississauga, ON
- Full-time
The Software Engineer position is responsible for the design, development, testing, and implementation of high-quality application systems and microservices in coordination with the broader…

K&K Global Talent Solutions INC.

Forward Deployed Engineer (Python/PySpark, LLM)

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 13, 2026
Experience: 10+ years of experience in Data Engineering, AI Application Development, Cloud Data Platforms, and Production-grade Software Engineering.
Posting language: English
Posted: Oct 14, 2026

Original job description

Position: Forward Deployed Engineer (Python/PySpark, LLM)

Location: Toronto, ON (Hybrid)

Employment Type: Full Time

Experience Required: 10 + Years

Role Summary:

We are seeking a hands-on Senior AI & Data Engineering professional to design, build, deploy, and support enterprise-grade AI and data solutions. The ideal candidate combines strong data engineering and software development skills with practical experience in Claude-powered AI applications, RAG, Agentic AI, cloud platforms, and production-grade MLOps/LLMOps. This role requires close client collaboration, rapid prototyping, technical leadership,

and accountability for measurable business outcomes.

Must-Have Technical Skills:

10+ years of experience in Data Engineering, AI Application Development, Cloud Data Platforms, and Production-grade Software Engineering.
Strong hands-on expertise in Python, PySpark, SQL, REST APIs, FastAPI, and enterprise application integration.
Experience designing and building AI-powered applications using Claude, Prompt Engineering, Retrieval-Augmented Generation (RAG), Vector Databases, Semantic Search, and Agentic AI patterns.
Deep understanding of Data Engineering frameworks, including ETL/ELT, batch and streaming pipelines, data quality, metadata management, lineage, observability, and DataOps practices.
Experience implementing and operationalizing MLOps / LLMOps capabilities including model lifecycle management, CI/CD pipelines, MLflow, monitoring, deployment automation, rollback, and production support.
Strong knowledge of cloud and modern data platforms, including compute, storage, integration, orchestration, security, networking, monitoring, and cost optimization services.
Hands-on experience with Git, Docker, Kubernetes, Airflow, MLflow, CI/CD, and distributed data processing frameworks.
Strong understanding of enterprise security and governance principles, including IAM/RBAC, encryption, secrets management, privacy controls, auditability, compliance, and secure data access.
Ability to translate business requirements into scalable solution designs, define non-functional requirements, estimate effort, and drive production-ready implementation.
Experience working with Banking, Financial Services, or Insurance (BFSI) data environments and familiarity with regulatory, security, privacy, and resilience requirements.
Strong client-facing consulting skills with experience conducting discovery workshops, solution shaping, rapid prototyping, stakeholder communication, and technical presentations.
Bachelor’s degree in computer science, Engineering, Information Systems, Data Management, or a related discipline.
Preferred certifications in Cloud Platforms, Kubernetes, AI Engineering, MLOps, Data Engineering, Enterprise Architecture, Security, or Program Delivery.
Experience working in a forward-deployed delivery model by embedding with client SMEs, business users, and engineering teams through solution validation, production deployment, adoption, and handover.
Strong hands-on data discovery skills, including profiling unfamiliar client data with Python, pandas, PySpark, and SQL; assessing coverage and quality; and quantifying volumes, distributions, edge cases, and business-process gaps before development.
Ability to rapidly build thin working solutions using real client data and APIs, validate them with users, and iteratively harden them with automated tests, security controls, error handling, observability, and production support procedures.
Experience creating business-relevant evaluation datasets with client SMEs, measuring ML or LLM quality, performing structured error analysis, grouping failures by root cause, and prioritizing improvements across releases.
Demonstrated production ownership after go-live, including monitoring, incident diagnosis, rollback, stabilization, performance and latency troubleshooting, and resolution of user-reported issues.
Ability to measure user adoption and business impact after launch using usage data and agreed KPIs such as time saved, error reduction, straight-through processing, quality improvement, or productivity gains.

Key Responsibilities:

Design, develop, and deploy enterprise-grade AI and data applications using Python, PySpark, Claude, SQL, APIs, and modern cloud-based data platforms.
Engage with business and technology stakeholders to understand business objectives, data landscape, functional requirements, non-functional requirements, and delivery expectations.
Define solution architecture, implementation roadmaps, and technical approaches that align with business goals and operational requirements.
Architect scalable data platforms, data pipelines, and AI solutions with a strong focus on performance, security, reliability, and cost optimization.
Develop batch, real-time, and streaming data processing solutions integrating multiple enterprise data sources and downstream applications.
Build and operationalize Claude-powered applications, copilots, and AI workflows using prompt engineering, Retrieval-Augmented Generation (RAG), vector search, and enterprise data integration.
Implement responsible AI practices, including governance, security, privacy, traceability, validation, and human oversight controls.
Design and enforce engineering standards, reusable frameworks, CI/CD practices, infrastructure automation, and production deployment patterns.
Provide technical leadership across solution design, code reviews, architecture reviews, testing, deployment, and production support activities.
Drive platform reliability, performance tuning, observability, incident resolution, and operational excellence across data and AI workloads.
Collaborate closely with architects, data engineers, AI specialists, platform teams, and client stakeholders to deliver production-ready solutions.
Support solutioning, RFP responses, technical demonstrations, effort estimation, and client workshops for new opportunities.
Develop reusable accelerators, reference architectures, implementation playbooks, and engineering best practices to improve delivery efficiency.
Mentor engineering teams and contribute to hiring, capability development, technical assessments, and knowledge-sharing initiatives.
Embed with client SMEs, product owners, and engineers for a defined, time-bound outcome; map the workflow, users, data, constraints, and decision points; and agree on the first useful release and measurable success criteria.
Analyze client data early to assess coverage, quality, volumes, distributions, edge cases, and process feasibility before committing to solution design and build scope.
Build a thin working version quickly on real data and APIs, validate it with business users, and harden it iteratively for security, reliability, maintainability, and production operations.
Create evaluation datasets with client SMEs, perform model and LLM error analysis. and suggest improvements.
Resolve data-access, API, identity, network, security, infrastructure, and deployment blockers in partnership with client data, platform, security, and engineering teams.
Own post-go-live stabilization by monitoring services, diagnosing user-reported failures, latency and cost issues, executing rollback or recovery where required, and shipping fixes.
Measure adoption and realized business impact using usage data and agreed KPIs, and communicate results through concise dashboards, demonstrations, or executive summaries.
Complete structured handover with runbooks, support ownership, knowledge transfer, and reusable components, test documents, and deployment patterns.

Preferred Background:

Strong problem-solving and decision-making abilities with a balanced focus on business outcomes, technology strategy, security, scalability, and operational excellence.
Excellent communication, presentation, and stakeholder management skills, with the ability to engage effectively with business, technical, and executive audiences.
Strong consulting mindset with the ability to analyze complex challenges, recommend practical solutions, and clearly articulate architectural trade-offs.
Proven ability to lead and influence cross-functional, distributed teams in a collaborative and fast-paced delivery environment.
High level of ownership, accountability, attention to detail, and commitment to engineering quality and delivery excellence.
Strong planning, prioritization, and multitasking skills with the ability to manage multiple initiatives, stakeholders, and delivery commitments simultaneously.
Ability to mentor engineers and architects, foster knowledge sharing, and drive adoption of engineering best practices.
Adaptability and resilience to work effectively in rapidly evolving technologies, business priorities, and client environments.

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, build, deploy, and support enterprise AI and data solutions, including data pipelines and Claude-powered applications, with a focus on security, reliability, performance, and cost. Work directly with client stakeholders from discovery through prototyping, production stabilization, impact measurement, and handover, while providing technical leadership and mentoring.

Requirements

Requires 10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering, with hands-on expertise in Python, PySpark, SQL, APIs, RAG, and MLOps/LLMOps. A bachelor’s degree in a related discipline is required, along with strong client-facing consulting skills; BFSI experience and relevant technical certifications are preferred.

Skills

Python
PySpark
SQL
FastAPI
REST APIs
Claude
Prompt Engineering
Retrieval-Augmented Generation
Agentic AI
Vector Databases
Data Engineering
MLOps/LLMOps
Cloud Platforms
Kubernetes
Airflow
Client-Facing Consulting

Visa sponsorship

Not detected in the job text

Keywords

Python
PySpark
SQL
FastAPI
REST APIs
Claude
Prompt Engineering
Retrieval-Augmented Generation
Agentic AI
Vector Databases
Semantic Search
ETL/ELT
Batch Processing
Streaming Pipelines
DataOps
MLOps
LLMOps
MLflow
Docker
Kubernetes
Airflow
CI/CD
Cloud Data Platforms
Data Governance
IAM/RBAC
Banking, Financial Services, and Insurance
Data Quality
Observability
Model Evaluation
Production Support

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Jobs in Canada