Sr. Agentic Developer

Cognota • Toronto, ON

3d • Remote

About The Position

Cognota is the world's first Learning Operations (LearnOps) platform — purpose-built to help enterprise L&D teams plan, manage, measure, and optimize every aspect of their learning function. Trusted by leading global enterprises, Cognota powers the operational backbone of some of the world's most strategic L&D teams.
We are a category creator. We don't follow the market — we define it. With the acquisition of Cognota Assist™ (formerly LearnExus). , Wwe are expanding into an AI-powered marketplace connecting enterprise L&D teams with world-class talent and solutions. And now, we're building the engineering team that will define what AI-native product development actually looks like in practice.
Most engineers are experimenting with AI tools. You already rebuilt how you work around them — and there's no going back.
Cognota is rebuilding its core platform from the ground up. We're looking for a Lead Agentic Developer — a senior engineer who has fully internalized the AI-native workflow and operates with a personal team of specialized agents orchestrated around their development process. You ship production-grade code faster and better than engineers working the old way. Not because you've replaced judgment with automation, but because you've multiplied your leverage.
This is a senior individual contributor role. But it's also something more: you'll be a hands-on model for the rest of Cognota's engineering organization — showing, not just telling, what it looks like to build agentic teams around your development workflow. You'll help transform how Cognota engineers work, one demonstrated practice at a time.

Requirements

• Proven track record as a senior individual contributor shipping production features at scale in SaaS environments.
• Hands-on, daily use of AI coding tools (Cursor, GitHub Copilot, Claude, GPT-4, or equivalent) — not as experiments, but as a rebuilt workflow.
• Demonstrated experience designing and orchestrating multi-agent systems or agentic pipelines in real software development contexts.
• Strong backend fundamentals: APIs, data modeling, distributed systems, observability, performance, and security.
• Experience with cloud infrastructure, CI/CD, and automated testing at a level that lets you own full deployment cycles independently.
• Ability to evaluate AI-generated code critically — knowing when to accept, when to refactor, and when to throw it out.
• Strong written communication: design docs, async technical discussion, and teaching through writing.
• A genuine desire to bring others along — not just to work faster yourself, but to help the whole team level up.

Nice To Haves

• What Success Looks Like in Year One
• You've shipped meaningful features on Cognota's rebuilt platform — features that are fast, clean, and maintainable — at a pace that makes the rest of the team take notice.
• Other engineers have started building their own agent workflows. Not because they were told to, but because they watched you work and wanted that leverage for themselves. The team has a shared vocabulary for agentic development — what it means, what it requires, and where the guardrails are.
• The Principal Staff Engineer and CPTO see you as a force multiplier — someone who raises the output and the bar of everyone around them, while still doing the best individual work on the team.
• Cognota's engineering culture has shifted perceptibly. AI-native development is no longer a curiosity — it's how the team builds.

Responsibilities

• Ship at the highest level
• Build and maintain production-grade features on Cognota's rebuilt core platform with speed and quality that sets the standard.
• Orchestrate a personal fleet of AI agents — coding, testing, debugging, documentation, code review, and research — to multiply output without sacrificing judgment.
• Write clean, extensible code that integrates naturally with the patterns set by the Principal Staff Engineer and the broader architecture.
• Take full ownership from design through deployment, including observability, reliability, and performance in production.
• Transform engineering culture
• Be the most visible practitioner of agentic development on the team — work in the open, share your tooling, narrate your workflow.
• Run working sessions and informal mentorship to help other engineers build their own agent-augmented workflows, adapted to their stack and style.
• Help establish practical standards for agentic development: what good looks like, where human review is non-negotiable, and how to catch the failure modes that AI introduces.
• Raise the floor on what 'standard practice' means across the engineering org — one PR, one review, one pairing session at a time.
• Partner at the intersection of product and engineering
• Work closely with the Principal Staff Engineer on architectural decisions, system design, and technical trade-offs.
• Partner with Principal Data Science leaders on ML-adjacent features, data pipelines, and intelligent product capabilities.
• Translate ambiguous product requirements into clear, executable technical approaches with minimal back-and-forth.
• Surface risks early — technical debt, scope creep, integration complexity — and come with options, not just problems.

Benefits

• Competitive compensation: aligned with experience
• Medical, dental, vision and extended health coverage from day one.
• Unlimited PTO
• “You Days” when the whole company gets the day off to recharge and focus on themselves.
• Paid time off on your birthday to celebrate and enjoy a day just for you.
• Professional development opportunities through access to internal mentors and a huge library of learning and development content.
• A flexible, remote-first way of working

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed