Staff Full Stack AI Engineer

Jobgether; Toronto; On-site; CAD 140,000 - 210,000; Full time

Benefits offered by this job

Remote work

Flexible PTO

Health benefits

Professional development

Company lunches

Job summary

Jobgether is seeking a Staff Full Stack AI Engineer based in Canada to lead the delivery of AI‑powered, full‑stack applications for client engagements. You will work across modern front‑end, back‑end, cloud, and AI technologies, shaping architecture and engineering standards.

The role combines hands‑on engineering with technical leadership, including mentoring engineers and guiding delivery across ambiguous client engagements.

Qualifications

• 7+ years in substantial software development projects with React and modern front-end engineering.
• Advanced TypeScript skills and knowledge of React concepts including Server Components and Next.js App Router patterns.
• Experience with state-management approaches (Redux, Context, RTK Query).
• Strong testing experience (Jest, Vitest, React Testing Library, Cypress).
• 5+ years building/rest APIs and back-end services (Node.js, .NET, Ruby on Rails, Go).
• Hands-on with major cloud platforms (AWS/Azure/GCP) and infrastructure-as-code.
• 2+ years building modern AI capabilities in real products or client engagements.
• Experience integrating LLMs via OpenAI, Anthropic, or equivalent APIs.

Responsibilities

• Work directly with client teams to discover, scope, architect, and deliver full-stack applications from ambiguity to production.
• Design, develop, and deploy scalable web applications using React, Next.js, TypeScript, and cloud platforms.
• Prototype and productionize AI capabilities including LLM integrations, RAG, agentic workflows, and automation.
• Build AI solutions with guardrails, security considerations, and cost/latency trade-offs.
• Adopt AI-assisted development tools to improve velocity while maintaining standards of quality and maintainability.
• Implement infrastructure-as-code and automated deployment pipelines for scalable, observable solutions.
• Develop automated testing strategies across unit, integration, and AI evaluation testing.
• Conduct code reviews and uphold engineering best practices in client-facing environments.
• Provide technical leadership and mentorship to engineers and clients.

Skills

React

TypeScript

Next.js

AI capabilities

LMM integrations

RAG

Agentic workflows

Tool/function calling

Code reviews

Engineering leadership

Tools

OpenAI API

Anthropic API

Cloud platforms

CI/CD

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Full Stack AI Engineer based in Canada.

This is a senior individual-contributor opportunity at the intersection of full-stack engineering, artificial intelligence, and digital product development.
You will design and deliver production-grade applications spanning modern front‑end, back‑end, cloud, and AI technologies.
The role combines hands‑on engineering with technical leadership across complex, ambiguous client engagements.
You will build AI‑powered capabilities including LLM integrations, RAG systems, agentic workflows, and intelligent automation.
You will influence architecture, engineering standards, delivery practices, and the adoption of emerging AI technologies.
Working closely with clients and multidisciplinary teams, you will turn business challenges into scalable, reliable software solutions.

Accountabilities

• Work directly with client teams to discover, scope, architect, and deliver full‑stack applications, taking ownership from ambiguous requirements through production.
• Design, develop, and deploy scalable web applications using technologies such as React, Next.js, TypeScript, modern back‑end frameworks, and cloud platforms.
• Identify, prototype, and productionize AI capabilities, including LLM integrations, retrieval‑augmented generation (RAG), agentic workflows, tool/function calling, and intelligent automation.
• Build AI solutions with appropriate evaluation frameworks, guardrails, security considerations, and awareness of model cost and latency trade‑offs.
• Use AI‑assisted development tools to increase engineering velocity while maintaining strong standards for quality, reliability, and maintainability.
• Implement infrastructure‑as‑code and automated deployment pipelines to create scalable, observable, and dependable solutions.
• Develop automated testing strategies, including unit, component, integration, and AI evaluation testing, to ensure robust production outcomes.
• Conduct thorough code reviews, establish engineering best practices, and maintain high technical standards in fast‑moving, client‑facing environments.
• Provide technical leadership and mentorship, helping engineers and clients strengthen their full‑stack and AI capabilities.
• Manage delivery expectations with stakeholders, balancing scope, quality, timelines, technical trade‑offs, and engagement constraints.
• Shape technical direction across teams and engagements, documenting architectural decisions and the trade‑offs behind them.
• Stay current with rapidly evolving AI and web technologies and develop informed perspectives on where emerging tools and models can create meaningful business value.

Requirements

• 7+ years of experience working on substantial software development projects, with strong expertise in React and modern front‑end engineering.
• Advanced TypeScript skills and strong knowledge of modern React concepts, including component lifecycles, hooks, concurrent features, Server Components, and Next.js App Router patterns.
• Experience with state‑management approaches such as Redux, Context, and RTK Query, with an understanding of when to apply each.
• Strong testing experience using tools such as Jest, Vitest, React Testing Library, Cypress, or comparable frameworks.
• 5+ years of experience developing and integrating REST APIs and back‑end services using technologies such as Node.js, .NET, Ruby on Rails, Go, or similar.
• Hands‑on experience with a major cloud platform such as AWS, Azure, or GCP, together with infrastructure‑as‑code practices.
• Demonstrated ability to architect complex software systems, make sound design decisions, and clearly document technical trade‑offs.
• 2+ years of practical experience building modern AI capabilities that have been delivered into real products or client engagements.
• Experience integrating LLMs through major provider APIs such as OpenAI, Anthropic, or equivalent platforms.
• Working knowledge of RAG, vector databases, embeddings, prompt engineering, agentic architectures, orchestration frameworks, and tool/function calling, including protocols such as MCP.
• Understanding of AI evaluation, guardrails, safety, observability, and the cost‑versus‑latency considerations involved in production AI deployments.
• Strong proficiency with AI‑assisted development tooling and an ability to use these tools as a force multiplier for engineering delivery.
• Proven consulting and problem‑solving skills, with the ability to ramp quickly on unfamiliar technologies, codebases, business domains, and client organizations.
• At least 3 years of experience leading engineering teams, mentoring engineers, and planning and strategizing delivery.
• Strong client‑facing communication skills and the ability to translate business requirements into practical technical solutions.
• Ability to understand how technical decisions affect engagement scope, timelines, and commercial outcomes.
• Comfortable operating in ambiguous, fast‑moving environments while collaborating effectively with distributed and multidisciplinary teams.
• Strong curiosity, willingness to learn, and commitment to delivering high‑quality products and features.
• Nice‑to‑have experience includes taking AI features from prototype to production, managing scaled front‑end architectures, CI/CD and DevOps, authentication, application security, AI observability, or model customization such as fine‑tuning and distillation.

Benefits

• Competitive compensation with location‑and‑experience‑dependent salary ranges.
• For Colorado‑based positions, an estimated salary range of $145,000–$175,000 USD annually.
• For New York City‑based positions, an estimated salary range of $160,000–$190,000 USD annually.
• Eligibility for additional compensation and benefits according to role and location.
• Flexible PTO and work‑from‑home policies.
• 401(k) matching.
• Health, dental, and vision benefits starting on day one.
• Continuing education and professional development opportunities.
• Health and wellness programs.
• Company lunches, outings, and workplace perks.
• Additional location‑specific benefits and perks.
• Remote work environment with opportunities to collaborate with diverse, distributed teams.
• Travel for team and client meetings, typically up to 15%.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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