Full-Stack Software Engineer
Location: Remote / Toronto-Hybrid [we're flexible!]
Employment Type: Full-Time
Start Date: [flexible] between February and April 2025
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About Us
Prospera Labs builds the best bots. We are a vertically integrated AI Agent & Chatbot solution provider. We combine our low-code AI bot platform with professional expertise, a quality focused engineering mindset and white glove customer service to deliver the best agents in the world at reasonable prices. We empower entrepreneurs, small business owners, and visionary managers to launch bot-based products without the huge R&D expense.
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At this stage, we’re a tight-knit team of passionate builders, thinkers, and dreamers. We are moving fast and the demands of the role are constantly changing. Joining us now means you get to shape not just the product, but the company’s direction and its mission.
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Why You'll Love It Here:
Make a Real Impact: We're working on building real agents that get deployed in the real world. You'll be tackling challenges that stretch beyond standard machine learning models, like creating metrics & quality control, solving thorny bot problems, designing elegant and innovative user interfaces and building reliable deployment pipelines
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Ownership That Matters: You won’t just be another engineer here. As a founding team member, you'll directly influence both how our AI and our business evolves, which means your work will define the industry standard for chatbot intelligence as we grow.
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Don’t be another hype-dream: While many companies talk big-game about AI, few companies can actually deliver real solutions with the reliability and quality needed in the real world. At Prospera Labs, you will learn to take cutting edge technology and translate that into practical solutions for real clients, without getting caught up in speculative engineering hype​​
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What You’ll Do
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Build a production-grade API using the Python stack and ecosystem
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Implement new bot and agent behaviors using a combination of prompt engineering, heuristics, metrics, and good old-fashioned data collection and labeling
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Develop web-based user interfaces using the ReactJS ecosystem
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Enhance the deployment pipeline and improve the quality of delivery for our clients
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Deal with outages and system failures (which can occur at any time)
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Diagnose challenging production AI problems and develop innovative solutions to ensure high-quality in real world AI solutions
The Tech Stack You’ll Work on
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Python
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Javascript
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Linux & Docker
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MongoDB
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RabbitMQ
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GCP
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OpenAI, Anthropic, Groq, Mistral, Gemini, Cohere
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ElevenLabs, DeepGram, StabilityAI
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Twilio, Stripe, Sendgrid, Auth0, Atlassian, Ngrok
Who You Are
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You’re a systems-level thinker who loves solving hard, unsolved problems in AI.
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You see the potential in AI, not just as a tool but as an intelligent partner to humans, and you’re excited to help us make that future a reality.
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You’re excited about the scale and impact of the technology you build. You don’t just want to code—you want to leave a mark on the AI industry.
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You have 8+ years of software engineering experience. No specific AI experience is required - you will learn that on the job. But we do expect you to bring significant software engineering experience with you to help us build more reliable solutions.
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You are willing to work hard and sacrifice in order to make something bigger
Bonus Points If You
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Are passionate about building AI that’s useful, trusted, and ethical.
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Have experience working in a startup environment and are comfortable with ambiguity.
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Can speak to the future of human-AI interaction and have big ideas on where it’s headed.
What We Offer
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Opportunities to work on groundbreaking AI projects
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Competitive compensation that includes generous equity and healthy cash.
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A high-performance team culture that values creativity, experimentation, and excellence. We love to push people to deliver their best work, even when its uncomfortable.
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The chance to work with founders who are as passionate about impact as they are about technology.
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Flexibility to work in a way that suits your lifestyle. We believe in results, not clocking hours​