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Senior Full-Stack Developer

PLAYSPACE

Toronto

On-site

CAD 90,000 - 120,000

Full time

16 days ago

Job summary

A tech-forward health startup in Toronto is seeking a Senior Full-Stack Developer specialized in AI Enablement. In this role, you'll lead the development and deployment of scalable AI solutions while mentoring a talented engineering team. The ideal candidate has 3-5 years of software development experience and expertise in LLM APIs, React, and backend engineering. Join us to transform mental health services and wellness through innovative technology with competitive compensation and growth opportunities.

Benefits

Competitive Base Salary
Opportunity for equity
Mission-driven culture
Professional growth opportunities

Qualifications

  • Minimum 3-5 years of professional software development experience.
  • Experience building and deploying AI/ML systems in production.

Responsibilities

  • Lead architecture and development of scalable AI systems.
  • Design LLM-powered agents to enhance user experiences.
  • Take ownership of complex AI projects from prototype to production.

Skills

AI/ML system deployment
Backend engineering
React
Next.js
Problem-solving
Communication
Leadership

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

LLM APIs
Prompt engineering
APIs
Job description

Type : Full-time

About Playspace

PlaySpace (playspace.health ) is on a mission to transform how children, adolescents, and neurodivergent adults engage with mental health services and wellness through our immersive, interactive platform. As a growing startup in the health tech space, we are committed to delivering innovative solutions that help individuals and communities flourish. We’re looking for a full-time developer to join our engineering team.

Job Scope

We are looking for an innovation obsessed Senior Full-Stack Developer - AI Enablement with previous start-up experience to join our fast-paced, dynamic engineering team as we pioneer Agentic and AI-first development to create groundbreaking platform solutions. In this pivotal role, you will lead the architecture, development, and deployment of robust, scalable, and maintainable systems. This is a unique opportunity to shape the future of our technology stack while mentoring and inspiring a talented team of engineers.

Responsibilities
  • Design and deploy LLM-powered agents and AI copilots that enhance user experiences and automate complex workflows
  • Develop human-in-the-loop systems that seamlessly integrate AI capabilities with human oversight for clinical safety and effectiveness
  • Architect configurable and scalable AI systems using modern frameworks (LangChain, AutoGPT, etc.) and LLM APIs (OpenAI, Claude, Anthropic)
  • Build robust API integrations that connect our platform with external AI services and healthcare systems
  • Implement context engineering, embeddings, and vector stores for intelligent content retrieval and personalization
  • Drive Automation & Optimization : Leverage AI tools and agentic systems to optimize development workflows and unlock 5x productivity gains
  • Build automations that streamline business processes, from content generation to user engagement analytics
  • Engineer solutions that scale our mental health interventions and reduce manual operational overhead
  • Own End-to-End Delivery : Take full ownership of complex AI projects from prototype to production deployment
  • Navigate technical trade-offs, system constraints, and long-term maintainability of AI-infused systems
  • Collaborate cross-functionally with clinical teams, designers, and stakeholders to translate requirements into intelligent technical solutions
Knowledge, Skills & Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • Experience building and deploying AI / ML systems in production environments
  • Minimum 3-5 years of professional software development experience, with a focus on large-scale platform rebuilds or migrations.
  • Strong backend engineering foundation with experience in React, Next.js, or similar languages
  • Hands-on experience with LLM APIs, prompt engineering, and integrating generative AI into applications
  • API development and integration expertise for connecting diverse systems and services
  • Understanding of AI system trade-offs including performance, cost, latency, and safety considerations
  • Excellent problem-solving, communication, and leadership skills.
  • Who You Are
  • Relentlessly fast : You use AI tools to prototype, ship, and iterate at unprecedented speed
  • Systems thinker : You understand how to build scalable, maintainable AI systems that grow with our platform
  • Problem-first mindset : You choose tools and approaches based on outcomes, not trends
  • Ownership-driven : You take complete responsibility for your code, deployments, and user outcomes
  • Clinically conscious : You understand the importance of safety, reliability, and ethical AI in healthcare contexts
  • What We Offer
  • Competitive Compensation : Competitive Base Salary and opportunity for meaningful equity in a high-growth startup.
  • Mission-Driven Culture : Work with a passionate team committed to improving mental health and wellness.
  • Professional Growth : Opportunity to innovate with significant autonomy and visibility.
How to Apply

If you’re excited about being the part of a tech-forward health startup and want to help drive PlaySpace’s growth, we’d love to hear from you!

Please include the job title in the subject line.

PlaySpace provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, citizenship, immigration status, or any other characteristic protected by applicable federal, state or local laws and ordinances. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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