AI-ML Engineer

Global Talent Acquisition at Valsoft Corporation and Aspire Software We are hiring for an AI-ML Engineer to join our growing team at Ampliphi in Toronto!

As an AI Engineer at Ampliphi, you will be at the heart of building the intelligence that powers our pricing platform. This is a hands-on, product-driven role where you'll work across the stack and directly influence how hotels use data to make smarter pricing decisions.

Ampliphi is an intelligent pricing and revenue optimization platform transforming how hotels manage rates. We leverage AI, real-time competitive set monitoring, and automated distribution to drive both revenue and operational efficiency. Our roadmap includes the deep productization of pricing strategies, explainable AI, and portfolio-level insights, and we're looking for a senior engineer who wants to help build and shape the product, not just ship code.

At Ampliphi, we are a team of passionate tech experts, seasoned industry professionals, and experienced hoteliers who have come together to tackle the revenue management challenges faced by hotels. By combining deep industry knowledge with innovative technology, Ampliphi is designed to help hotels optimize pricing, increase profitability, and streamline operations.

Our goal is simple: to make revenue management easier, more efficient, more affordable and more impactful for hotels of all sizes. We understand the complexities of the hotel industry and are dedicated to providing solutions that not only simplify pricing decisions but also drive real, measurable results for your business.

The successful candidate will be based anywhere within commutable distance of our office in Toronto, working in a hybrid work model!

What Your Day Will Look Like

Own and deliver core Ampliphi product features, from backend architecture to frontend execution

Work closely with product teams to build user-centric, data-driven experiences

Integrate with external systems like PMS, OTAs, and channel manager gateways to enrich our pricing ecosystem

Design, build, and enhance the AI and rules engine that powers pricing recommendations, explainability, and automated strategies

Contribute to system architecture, evolving our modular, scalable microservice design

Mentor mid-level developers and influence team best practices to ensure code quality and scalability

About You

Tech Stacks You'll Work With:

Frontend: React (with TypeScript), Tailwind, Recharts, Next.js

Infrastructure: AWS (Fargate, Lambda, RDS, S3), CloudWatch, API Gateway

DevOps & Tooling: GitHub Actions, Terraform (infra-as-code), feature flags

Integrations: Third-party data providers and hotel tech systems

Data Layer: Pricing strategy rules engine, competitive set analytics, AI inference services

What We're Looking For

5+ years of full-stack development experience in a fast-moving product environment

Deep experience with Python-based APIs (FastAPI preferred) and React-based UIs

Proven track record of building AI-powered product features (pricing, optimization, or machine learning pipelines)

Strong understanding of modular system design, async jobs, and data flow between services

Experience working in AWS-native environments (Fargate, RDS, ECS, etc.)

Strong appreciation for clean UI/UX, thoughtful APIs, and maintainable code

Ability to collaborate with product and weigh trade-offs between scalability, speed, and usability

Interest in working on pricing, optimization, and AI-powered workflows

Product-first mindset - you care deeply about how users experience the system

Strong organizational and time management skills

A passion for innovation, technology, and modernizing outdated processes

Self-motivated, goal-oriented, and comfortable with autonomy

Ability to work independently and collaboratively within a team

Quick learner with the ability to absorb industry knowledge and adapt in a fast-paced environment

Fluent in English, both written and verbal, is essential

Legally authorized to work in Canada

We thank all applicants for their interest; however, only those candidates selected for an interview will be contacted.

We are an equal opportunities employer and welcome applications from all qualified candidates.

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