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Added 1 month ago
CO
Intern, Backend Software Engineer - Team Interstellar - Winter 2027
Capital One
Toronto, ON
- Full-time
Experience with backend languages such as Java, TypeScript, or Python.
Added 1 month ago
A
Responsable Architecte IA (Intelligence Artificielle)
Avanade
Montreal, QC
- Full-time
Partner closely with our AI, IoT, and Intelligent Automation team and Solution Architects to translate the customer's business requirements to define AI & IoT value proposition and solution…
Added 1 month ago
Q
Physical Design Engineer
Qualcomm
Markham, ON
- Full-time
Programming and automation using Python, Perl, TCL, Shell scripting, C/C++, and Linux/Unix environments.
Added 1 month ago
E
Devops Developer
Ericsson
Montreal, QC · Quebec, QC
- Full-time
…real code, take ownership of real problems, and collaborate with a team using a modern technology stack including Java, TypeScript, Linux, Git, Jenkins, Docker, and test automation…
Added 1 month ago
D
Manager, Actuarial Insurance Solutions (AIS) - Life & Health
Deloitte
Toronto, ON
- Full-time
…families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country,…
Added 1 month ago
E
Devops Developer
Ericsson
Quebec, QC
- Full-time
…real code, take ownership of real problems, and collaborate with a team using a modern technology stack including Java, TypeScript, Linux, Git, Jenkins, Docker, and test automation…
Added 1 month ago
M
Aerospace Systems Engineer
MANNARINO
Montreal, QC
- Full-time
Experience with scripting, automation, data analysis, or test development using tools/languages such as Python, MATLAB/Simulink, LabVIEW, or equivalent.
Added 1 month ago
Principal High-Speed Analog Layout Design Engineer
Celero Communications, Inc.
Ottawa, ON
Support automation initiatives through scripting and tool customization (SKILL, TCL, Python is a plus)
Added 1 month ago
W
Principal Software Development Engineer - AI Platform
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
5+ years of experience in Python, with a consistent track record of shipping production code and systems.
Added 1 month ago
S
Software Developer Intern (January 2026 12 months)
SOTI
Mississauga, ON
- Full-time
Familiar with scripting (e.g., PowerShell, Python)
Added 1 month ago
E
Devops Developer
Ericsson
Bas-Saint-Laurent, QC
- Full-time
…real code, take ownership of real problems, and collaborate with a team using a modern technology stack including Java, TypeScript, Linux, Git, Jenkins, Docker, and test automation…
Added 1 month ago
E
Devops Developer
Ericsson
Montreal, QC
- Full-time
…real code, take ownership of real problems, and collaborate with a team using a modern technology stack including Java, TypeScript, Linux, Git, Jenkins, Docker, and test automation…
Added 1 month ago
AI DevOps Specialist (AI Enablement & Secure DevOps)
Celestica International LP
Toronto, ON
Local Code Integration: Ensure developer command-line interfaces and local development terminals (such as Claude Code, VS Code, and GitKraken) seamlessly communicate with cloud model…
Added 1 month ago
M
Senior Security Engineer - Identity and Access Management
Marqeta
Remote, Canada
- Full-time
- Remote
Experience with AWS technologies such as Lambda, S3, DynamoDB, RDS, Aurora, SNS, SQS, CloudTrail, CloudWatch, Code Pipeline, AWS Developer Tools, and IAM roles and permissions
Added 1 month ago
U
Senior Business Intelligence (BI) Developer
UST
Toronto, ON
- Full-time
UST is searching for a highly skilled Senior BI Developer with a strong commercial/business domain background to design, develop, and maintain enterprise Business Intelligence solutions.
Added 1 month ago
TD
Associate, Strategic Finance & Analytics
Tetra Digital Group
Toronto, ON
- Full-time
Proven ability to use SQL, Python, AI, and automation tools to improve the speed, reliability, and repeatability of analytical work
Added 1 month ago
P
Software Developer Intern (Quality Assurance)
Pason
Calgary, AB
- Full-time
Experience with any test automation tools like Selenium preferred
Added 1 month ago
FC
Senior Analyst, Valuation & Analytics
Fiera Capital
Montreal, QC
- Full-time
Familiarity with Python, VBA, Power Query, SQL, Power Automate or similar technologies is an asset.
Added 1 month ago
E
Marketing Engineer & Director of AEO
Equiniti
Toronto, ON
- Full-time
Comfort working with APIs, crawlers, webhooks, workflow automation platforms, LLMs, prompt systems, structured datasets, and AI evaluation methods.
Added 1 month ago
L
Python Developer
Luxoft
Toronto, ON
- Full-time
· Implement workflow automation and data pipelines where needed
Added 1 month ago
E
Sr. Plant Controller Modelling Engineer
e-STORAGE
Kitchener, ON
- Full-time
Develop and maintain scripting or automation tools (e.g., Python) to streamline model management, simulation batch runs, and results post-processing.
Added 1 month ago
KC
Senior Network Engineer
Kepler Communications Inc.
Canada
- Full-time
…The ideal candidate will have extensive hands-on experience with complex networks and will fully embrace software and automation initiatives. This includes driving network automation and…
Added 1 month ago
F
Senior/Lead Engineer - Agentic AI Development
FICO
Canada
- Full-time
Experience with spec-driven development, context engineering, agent orchestration, fitness functions, and developer-platform work.
Added 1 month ago
D
Vice-President or Associate, Equity Derivatives & Analytics
Desjardins
Montreal, QC
- Full-time
…Desjardins Capital Markets is seeking a Montreal-based professional with a strong interest in financial markets, derivatives and the development of innovative quantitative solutions. The…
Added 1 month ago
RE
Data Operations Engineer AI - Co-op Student (Winter 2027)
Rodan Energy Solutions Inc.
Mississauga, ON
- Internship
…emissions, support electrification, and enhance grid efficiency. With over 20 years of expertise, we’re trusted by North America’s largest energy users, power producers, and…

FICO

Senior/Lead Engineer - Agentic AI Development

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Sep 21, 2026

Original job description

The Opportunity

Come join our engineering team in a hands-on technical role at the heart of a new discipline: Harness Engineering. As AI coding agents take on more of the software lifecycle, the hard part is no longer writing code - agents generate it faster than humans can review it, so the bottleneck shifts to verification and trust. Harness Engineering exists to break that bottleneck: engineering the environment that steers agents toward correct, maintainable, well-architected output so that quality is enforced by the system, not re-audited by a person on every change. We call that environment the harness (Agent = Model + Harness). As a Senior Harness Engineer you'll independently own whole harness subsystems, set the standards other engineers build to, and be involved in the end-to-end lifecycle of turning raw model capability into production-grade engineering.

What You'll Contribute

Design, build, deploy, and support core components of the harness - the guides, feedback loops, guardrails, and shared context that turn raw model capability into production-grade engineering. This is a hands-on role focused on systems and leverage, not hand-writing application code.
Own and evolve feedforward guides - agent instruction files, reusable skills, architectural rules, reference docs, and codemods - and drive team-wide standardization so agents get it right the first time.
Build feedback sensors - custom linters, static analysis, structural and architecture-fitness tests, verification loops, and LLM-as-judge reviewers - that catch issues automatically before they reach human reviewers.
Own quality gating and release criteria for agent-produced work, defining authority boundaries for what agents may merge unaided and the escalation rules for what must route to a human.
Establish LLM testing infrastructure and evaluation approaches that ensure AI-generated output meets quality and safety thresholds; apply consumer/contract testing (e.g. Pact) where service integration reliability matters.
Run the steering loop - when an agent repeats a mistake, engineer a control so it can't happen again - and treat repository knowledge (docs, specs, context) as the system of record, fighting drift with continuous garbage collection.
Decide where each control runs in the path to production - fast checks pre-commit, more expensive checks post-integration, and continuous sensors that scan for drift outside the change lifecycle - keeping quality as far left as is economical.
Improve observability into agent work and track the measures that matter - cost per merged PR, time-to-merge for agent-assisted PRs, review velocity relative to PR size, defect escape rate, and agent-PR survival rate - using them to decide where to invest next.
Partner with product and platform teams to turn specifications and acceptance criteria into enforceable controls.
Serve as a source of technical expertise and mentor engineers across teams in harness practices and the effective, responsible use of AI tools.

What We're Seeking

Seasoned software engineer with experience in large, complex codebases and a strong foundation in architecture and design; you care deeply about testing and maintainability.
Hands-on experience with AI coding agents (e.g. Claude Code, Codex, or similar) and a well-developed feel for where they succeed and fail.
Proven ability to build engineering tooling across a modern stack - linters and static analysis, CI/CD pipelines, containerized build/test environments, and instrumentation/observability - plus familiarity with agent instruction conventions such as AGENTS.md.
Experience with spec-driven development, context engineering, agent orchestration, fitness functions, and developer-platform work.
A systems mindset - you'd rather fix the environment than fix one output - and the ability to encode "what good looks like" into mechanical, repeatable rules.
Judgement about when to reach for deterministic, computational controls (type checkers, linters, structural/architecture-fitness tests) versus inferential, LLM-based ones (AI code review, LLM-as-judge) - and an understanding of the cost, speed, and reliability trade-offs between them.
Experience owning quality-gating processes and defining release criteria to ensure engineering standards are consistently met.
Working knowledge of the security surface unique to autonomous agents - prompt injection, tool/permission scoping, sandboxed execution, and audit trails for agent actions - and how to design least-privilege guardrails around them.
Experience with consumer/contract testing approaches (e.g. Pact) to validate service integrations across distributed systems.
Excellent communication skills; able to articulate design with architects and drive standards across teams.
Bachelor's/Master's in Computer Science or related disciplines, or relevant experience in software architecture, design, development, and testing.

About US

FICO is a leading analytics and decision management company that empowers businesses and individuals around the world with data-driven insights. Known for pioneering the FICO® Score, a standard in consumer credit risk assessment, FICO combines advanced analytics, machine learning, and sophisticated algorithms to drive smarter, faster decisions across industries. From financial services to retail, insurance, and healthcare, FICO's innovative solutions help organizations make precise decisions, reduce risk, and enhance customer experiences. With a strong commitment to ethical use of AI and data, FICO is dedicated to improving financial access and inclusivity, fostering trust, and driving growth for a digitally evolving world.

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More about this job

Responsibilities

You will design and build the harness environment that steers AI coding agents toward producing high-quality, maintainable, and secure software. This involves creating feedback loops, guardrails, and automated testing infrastructure to ensure agent-generated code meets production standards.

Requirements

The ideal candidate is a seasoned software engineer with extensive experience in complex codebases, architecture, and modern engineering tooling. You must have hands-on experience with AI coding agents and a strong understanding of the trade-offs between deterministic and inferential quality controls.

Skills

Agentic AI
Software Architecture
CI/CD Pipelines
Static Analysis
LLM Testing
System Design
Quality Gating
Observability
Contract Testing
Python
Containerization
Security Guardrails
Technical Mentorship
Spec-driven Development
Code Review Automation

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Harness Engineering
Software Lifecycle
LLM-as-judge
Static Analysis
CI/CD
Pact
Containerization
Observability
Prompt Injection
Least-privilege
Architecture-fitness tests
Codemods
Feedback loops
Quality gating
Release criteria
Technical leadership
System design
Data-driven insights
Machine learning
Algorithms
Analytics
Software development
Engineering standards
Distributed systems

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