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Added 28 days ago
AI Engineer Specialist
Nasdaq
Toronto, ON
Full-time
Expert-level Python development experience, with strong knowledge of automation and orchestration frameworks.
Added 1 month ago
Associate LLM Engineer (Forward Deployment)
ZS
Toronto, ON
Full-time
…The ideal candidate will have strong experience working with Python, LLM solution patterns and tools (RAG, Vector DB, Agentic workflows, LoRA, etc.) cloud platforms (AWS, Databricks and…
Added 1 month ago
Robotics - Software Development Engineer
Amazon
Toronto, ON
Full-time
Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design
Added 1 month ago
AI Developer – Agentic System
Xanadu
Toronto, ON
Full-time
As an AI Developer at Xanadu, you will play a crucial role in integrating generative AI into our R&D methodologies. This unique position allows you to contribute to the development of our…
Added 1 month ago
Photonics Lab Technician - Measurement (Afternoon Shift)
Xanadu
Toronto, ON
Full-time
Familiarity with the Python programming language
Added 1 month ago
Control System Specialist
Delta Controls
Surrey, BC
Full-time
Software Solutions; application development for customization of enteliWEB (our enterprise web application) and controller loadable Python modules
Added 1 month ago
Robotics - Software Development Engineer Intern - 2026 - Toronto
Amazon
Toronto, ON
Full-time
Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript
Added 1 month ago
Software Development Engineer, WW Deals & Promotions
Amazon
Vancouver, BC
Full-time
Strong proficiency in at least one major programming language (e.g. Java, Python, C++, etc.)
Added 1 month ago
Software Development Engineer, Middle Mile P&O
Amazon
Vancouver, BC
Full-time
Added 1 month ago
Software Development Engineer III, Omnichannel Metrics (OCM) - Measurement, Ad Tech, and Data Science (MADS)
Amazon
Toronto, ON
Full-time
…autonomous measurement platform. You'll work across Scala, Java, and Python, with deep expertise in big data technologies (Apache Spark, Kestrel, EMR), AWS infrastructure (Lambda, DynamoDB,…
Added 1 month ago
Treasury Operations Analyst-EN
CAE
Montreal, QC
Full-time
Added 1 month ago
Senior Software Developer
IBM
Ottawa, ON
$120,000 to $155,000 CAD / year
Full-time
As an Application Developer, you will develop, support, and maintain applications.
Added 1 month ago
Specialist Programmer
Infosys
Calgary, AB
Full-time
Data Engineering: - Hadoop, Spark, PySpark, Hive, PostgreSQL, Python/Java, Kafka, Airflow and Beam.
Added 1 month ago
Staff AI Engineer
Acquia
Canada
Full-time
Deep Python proficiency and strong engineering fundamentals (testing, CI/CD, architecture).
Added 1 month ago
Senior Director, Engineering - Corporates, Financial Institutions & Sovereigns
Fitch Ratings
Toronto, ON
Full-time
…in analytical processes, agentic automation, or AI-augmented developer tooling, bring the depth to evaluate, architect, and champion these capabilities with real technical conviction. If…
Added 5 months ago
Senior Data Science Developers
HRbrain Inc.
Toronto, ON
Full-time
The candidates will perform Data Science Developer work by creating, enhancing, maintaining, supporting, and sustaining existing pipelines, analytics models, and data products
Added 1 month ago
Associate Director, Epidemiological Statistical Programming FSP
Cytel
Canada
Full-time
Added 1 month ago
Software Engineering Developer, DevOps
General Dynamics Mission Systems–Canada
Ottawa, ON
$85,000 to $110,000 CAD / year
Full-time
Added 28 days ago
Principal Engineer, AI
BMO
Toronto, ON · BMOPLACE
Full-time
…by taking real engineering assets that includes an existing developer portal, an AI registry, a body of policy-as-code, and gateway integrations and hardening, scaling, enhancing and…
Added 28 days ago
Principal Engineer, AI Platform
BMO
Toronto, ON · BMOPLACE
Full-time
…by taking real engineering assets that includes an existing developer portal, an AI registry, a body of policy-as-code, and gateway integrations, and hardening, scaling, and governing them…
Added 28 days ago
Principal Architect, AI Platform
BMO
Toronto, ON · BMOPLACE
Full-time
You will hold architectural oversight across the AI Platform capabilities including Developer Experience, Security, DevOps, and Data Analytics. You will work across teams and organizations…
Added 10 days ago
Director of Engineering
Lantern
Vancouver, BC
7+ years of experience in software development, with a strong proficiency in .NET Core, C#, Typescript, and/or Python
Added 3 months ago
Solutions Architect
Shakudo
Toronto, ON
Full-time
Backend and frontend experience (e.g., Python, React, TypeScript) - enough to be hands-on when needed
Added 2 months ago
Senior Forward Deployed Engineer
Shakudo
Toronto, ON
Full-time
Proficiency in at least one production programming language such as Python, Go, TypeScript, Java, or Scala.
Added 27 days ago
Développeur Python / Python Developer
mthree
Montreal, QC
We are seeking a Python Developer with a proven track record of large scale distributed systems and Kubernetes experience to join a dynamic team with one of our clients

Shakudo

Senior Forward Deployed Engineer

Toronto, ON, Canada

Job type: Full-time
Experience: 8+ years of experience across software, data, platform, infrastructure, or AI engineering roles, including:
Posting language: English
Posted: Jun 29, 2026

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Original job description

At Shakudo, we’re building the world’s first operating system for data and AI. We use the term “operating system” in the truest sense: just like iOS, Windows, or Linux, Shakudo’s end-to-end OS provides ever-evolving, fully automated, best-in-class open-source components tailored to each business’s unique needs.

We are seeking a Senior Forward Deployed Engineer to join our ProServe team and work directly with strategic customers to turn business problems into production AI and data systems. This is a highly technical, customer-facing role for someone who can move between customer conversations, system design, data engineering, AI application development, Kubernetes, cloud infrastructure, and production support.

In this role, you will own the path from discovery to production: understanding the customer’s workflows and data, designing the solution, building and deploying it on Shakudo, and helping the customer adopt it in real operations. This is an outcome-based engineering role. A successful engagement is not a demo, a prototype, or an installation. It is a live, governed, adopted workflow that improves how the customer operates and is tied to a clear business result.

\nResponsibilities

Embed with customer teams to understand business problems, workflows, data systems, constraints, and success metrics.
Define what success looks like for each engagement, including the target outcome, adoption path, production boundary, and measurable impact.
Translate ambiguous customer needs into clear technical scopes, architectures, implementation plans, and production outcomes.
Build and deploy AI and data applications on Shakudo, including agentic workflows, RAG systems, data pipelines, integrations, evaluations, and operational automation.
Design and implement production data workflows across enterprise environments, including ingestion, transformation, orchestration, data quality, access control, and observability.
Deploy and operate Shakudo in complex customer environments, including cloud, hybrid, on-prem, private cloud, and air-gapped infrastructure.
Work hands-on with Kubernetes, containers, networking, storage, identity, secrets, observability, and production troubleshooting.
Partner with customer engineering, platform, data, and security teams to get systems live, governed, adopted, and measurable.
Participate in PagerDuty-based production support for customer deployments, including incident response, escalation, root-cause analysis, and follow-up remediation.
Turn customer-specific work into reusable patterns, playbooks, templates, and product feedback for Shakudo.

Qualifications

8+ years of experience across software, data, platform, infrastructure, or AI engineering roles, including:
- 3+ years building LLM/AI applications such as RAG, agents, evaluations, workflow automation, or production AI systems.
- 5+ years working with Kubernetes and cloud-native infrastructure in production environments.
Strong experience with major cloud platforms such as AWS, Azure, or GCP.
Strong data engineering background, including pipelines, orchestration, transformation, data quality, access controls, and production data workflows.
Experience with a modern data stack such as Spark, Airflow, Databricks, Snowflake, or similar.
Experience building or deploying AI, data, or automation solutions in highly regulated or operationally complex industries, such as financial services, government, healthcare, energy, agriculture, supply chain, or industrial operations.
Ability to apply AI to real-world operational data, such as sensor data, geospatial data, logistics data, ERP data, field operations data, or forecasting data.
Proficiency in at least one production programming language such as Python, Go, TypeScript, Java, or Scala.
Strong systems thinking across data, users, permissions, workflows, infrastructure, governance, and business processes.
Excellent customer-facing communication skills with engineers, operators, security teams, executives, and business owners.
Strong ownership mindset: you care about production rollout, adoption, reliability, operational handoff, and measurable impact.
Willingness to travel to customer sites as needed.

A Plus

Experience in a forward-deployed, professional services, solutions architecture, customer engineering, field engineering, or technical consulting role.
Experience delivering outcome-based customer engagements where success was measured by adoption, operational improvement, or business impact.
Experience with data engineering, machine learning, or data science workflows, including feature engineering, model training, experimentation, evaluation, or production ML systems.
Experience with on-prem, private cloud, regulated, hybrid, or air-gapped deployments.
Experience with infrastructure-as-code and production operations.
Experience working with enterprise security, compliance, audit, access control, and governance requirements.
Experience integrating AI or data systems with enterprise applications, internal APIs, data platforms, or customer-specific operational tools.
Experience leading senior technical stakeholders through architecture reviews, security reviews, implementation planning, and production-readiness decisions.
Ability to identify repeatable product and service opportunities from customer-specific implementations.

Why Shakudo Stands Out

Work with cutting-edge technologies in machine learning and high-performance computing.
Contribute to a platform that transforms how organizations leverage data and AI.
Join a dynamic team that values innovation, efficiency, and diversity.

Shakudo offers a high-impact package: competitive salary, meaningful equity so you share in the upside of transformational technology, and comprehensive health benefits that have you fully covered. We provide a flexible vacation policy - because building transformational technology requires supporting the people who build it. More importantly, you’ll work on technology that matters.

This role is based onsite to support the high security requirements of our clients and enable effective collaboration. We have a welcoming office environment, fully stocked with snacks, regular team outings (summer boat cruise, escape room, etc.), and a strong focus on maintaining a healthy work-life balance while doing meaningful, impactful work together.

Shakudo is an equal opportunity employer and encourages candidates of all backgrounds to apply. We foster diversity and inclusivity and welcome applications from a broad range of backgrounds and experiences.

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More about this job

Responsibilities

The Senior Forward Deployed Engineer will embed with strategic customers to design, build, and deploy production-grade AI and data systems on the Shakudo platform. They are responsible for translating complex business problems into technical architectures and ensuring successful adoption through hands-on implementation and operational support.

Requirements

Candidates must have 8+ years of experience in software, data, or AI engineering, including at least 3 years building LLM/AI applications and 5 years working with Kubernetes and cloud-native infrastructure. Strong proficiency in a production programming language and experience with modern data stacks are required to succeed in this customer-facing role.

Skills

Kubernetes
Cloud infrastructure
Data engineering
AI application development
Python
Go
TypeScript
Java
Scala
Spark
Airflow
Databricks
Snowflake
RAG systems
Agentic workflows
Systems thinking

Benefits

Competitive salary
Meaningful equity
Comprehensive health benefits
Flexible vacation policy

Visa sponsorship

Not detected in the job text

Keywords

Shakudo
Operating system
Data engineering
AI
Kubernetes
Cloud infrastructure
Production support
Agentic workflows
RAG
Data pipelines
AWS
Azure
GCP
Spark
Airflow
Databricks
Snowflake
Python
Go
TypeScript
Java
Scala
Systems thinking
Governance
Observability
Infrastructure-as-code
Enterprise security
Compliance
Machine learning
High-performance computing

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