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Added 4 mins ago
Principal Sales Systems Engineer
Jobgether
Canada
Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Sales Systems Engineer based in Canada.
Added 19 mins ago
Manager Plant Maintenance
Carleton University
Ottawa, ON
Other
Named a Top 100 Employer in 2023, 2024 and 2025, and a National Capital Region Top Employer for 10 consecutive years, Carleton University is one of Canada’s most resourceful and productive…
Added 19 mins ago
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Added 4 hours ago
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Vancouver, BC
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Kraken

Senior Software Engineer – Agent Systems

Canada

Job type: Full-time
Experience: 5+ years of experience building and shipping production software systems
Posting language: English
Posted: Sep 28, 2026

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Original job description

Building the Future of Open Finance

Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.

Before you apply, we encourage you to explore our culture page to understand what drives us and how we work.

Proof of work

The team

Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.

The Agent Systems team is a 0→1 engineering group building internal AI-powered agents that interact directly with company systems. The mandate is to dramatically increase internal speed of execution through automation, intelligent inference, and workflow orchestration.

This team operates at the intersection of AI, backend systems, and applied product engineering. The work is pragmatic and fast-moving - prototypes are expected, but the bar for production reliability remains high. Engineers on this team move fluidly between experimentation and shipping, building systems that reason over user interactions and take meaningful action across internal tools.

You’ll work closely with cross-functional partners across product, infrastructure, and internal operations to deploy agent-driven capabilities that compound leverage across the organization.

The opportunity

Build and ship AI-powered agent systems that automate internal workflows and decision paths
Design and implement inference pipelines that reason over user interactions across internal systems
Prototype quickly to validate agent behaviors, then productionize what proves valuable
Architect backend services that integrate with multiple internal APIs and data sources
Define patterns for safe, observable, and controllable agent execution
Collaborate cross-functionally to identify high-leverage automation opportunities
Improve system speed, reliability, and signal quality as usage scales
Contribute to foundational design decisions for a 0→1 agent platform

Skills You Should HODL

5+ years of experience building and shipping production software systems
Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability)
Experience building fullstack systems, with comfort working across backend and occasional frontend surfaces
Hands-on experience working with AI/ML systems, LLMs, or inference pipelines in production
Ability to prototype rapidly while maintaining a clear path to production-grade architecture
Strong systems thinking - able to reason about orchestration, failure modes, and observability
Comfort operating in ambiguous, 0→1 environments with high ownership

Nice to haves

Experience building or operating agent-based systems or autonomous workflows
Familiarity with prompt engineering, evaluation frameworks, or model performance tuning
Experience integrating with internal enterprise systems (CRM, support tools, analytics platforms, etc.)
Background in building developer platforms or internal tooling
Experience designing guardrails, sandboxing, or safety layers for AI systems

Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.

Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.

We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Our commitment

Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.

We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.

As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.

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More about this job

Responsibilities

Build and ship AI-powered agents that automate internal workflows, reason over user interactions, and integrate with internal APIs and data sources. Prototype and productionize valuable agent capabilities while establishing safe, observable, reliable execution patterns and improving system performance as usage scales.

Requirements

Requires at least five years of experience building and shipping production software, strong backend fundamentals, and experience with full-stack systems. Candidates should have hands-on production experience with AI/ML, LLMs, or inference pipelines, and be able to prototype rapidly, reason about system failure modes and observability, and take ownership in ambiguous 0-to-1 environments.

Skills

Backend Engineering
Distributed Systems
API Design
Data Modeling
System Reliability
Full-Stack Development
AI/ML Systems
Large Language Models
Inference Pipelines
Agent Systems
Workflow Orchestration
Observability
Prompt Engineering
Evaluation Frameworks
Model Performance Tuning
Internal Tooling

Visa sponsorship

Not detected in the job text

Keywords

AI-Powered Agents
Agent Systems
Open Finance
Cryptocurrency
Backend Services
APIs
Distributed Systems
Data Modeling
Full-Stack Systems
AI/ML
Large Language Models
Inference Pipelines
Workflow Orchestration
Internal Systems
Internal Tooling
Enterprise Systems
CRM
Support Tools
Analytics Platforms
Prompt Engineering
Evaluation Frameworks
Model Performance Tuning
Guardrails
Sandboxing
Observability
Reliability
Automation
Production Software
Decision Paths

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