About Us:
AltaML is a leading North American applied AI company with extensive experience in building and operationalizing AI software solutions.
We are a company like no other – we believe in making small bets, failing fast, and being better together. We are looking for creative problem-solvers who obsess about the customer to find wins across different industries.
We don’t hire for fit; we hire to add. We are looking for people who play our core values of being: Agile, Gritty Humble, and Happy. If you’re passionate about AI/ML, thrive in a dynamic environment, and want to work with a diverse team of wickedly smart people, we want to hear from you!
About the Role
We’re looking for a Senior Full Stack Software Engineer, with a strong machine learning passion. In this role, you will own technical delivery end-to-end, from shaping the architecture of ML-powered applications to leading implementation across cloud services, APIs, and modern front-end frameworks.
You will act as the technical backbone of your project pod, balancing hands-on development work with technical leadership, architectural decision-making, and client-facing collaboration. You’ll lead epic-level solution design, mentor developers, contribute to shared internal frameworks, and help shape how we evaluate and deploy emerging technologies. This is a hybrid role that requires regular in-office attendance at our Toronto office.
You will thrive in this role if you are:
- A builder at heart: equally comfortable spinning up prototypes quickly as you are scaling production-grade systems.
- A strong communicator who can translate between business requirements and technical realities.
- A decision-maker who brings clarity to ambiguous technical challenges.
- Excited by ML-enabled product development and eager to bridge software engineering with intelligent automation.
Responsibilities
Reduced Project Risk: Technical risks on projects are significantly reduced through proactive ownership of epic-level technical design, execution, and cross-team dependency resolution.Improved Technical Decision-Making: The team makes better technology choices through thorough research, evaluation, and documentation of potential solutions.Stronger Client Confidence: Client and stakeholder confidence is increased by leading technical discovery sessions and acting as a technical SME during project discussions.Feature & Epic Implementation: Leads implementation for features spanning multiple user stories or services.Architecture & Solution Design: Leads the architecture design for moderately complex solutions, often involving multiple services or systems, and chairs technical reviews.Mentorship & Technical Leadership: Provides technical leadership within the pod, mediates code review disputes, contributes new features to shared AltaML libraries and assists in the hiring process by conducting technical interviews. Coordinating the work of other engineers.Client Engagement & Discovery: Leads technical discovery sessions with clients to clarify requirements and define technical scope.Testing & Quality Strategy: Implements higher-level testing strategies, such as integration tests for deployed solutions.
Requirements
Degree or equivalent work experience in Computer Science, Software Development, or similar4+ years of experience as a full stack developerProven skills at taking ideas from conception to productionStrong working experience with Cloud Services (Ideally Azure)Strong working experience with ReactStrong working experience with PythonStrong working experience writing clean, readable, and easily maintainable codeExperience Unit and API testing (eg. xUnit, Postman, or others)Experience working in an agile environmentExperience with DockerProficiency with Version Control systems (VCS)
Nice to Have's:
Experience with cloud-based document processing and intelligence tools such as Azure Document IntelligenceExperience with serverless computing and workflow orchestration frameworks such as Azure Durable FunctionsExperience with rapid prototyping tools and taking solutions from 0 to 1Experience developing applications using an LLM/ML APIsExperience with technologies like LangChain, Autogen, and VectorDBs Experience building plugins/integrations on third-party platformsExperience with Azure Cloud platform to build and deploy productsBuild functional prototypes to test ideas and hypotheses quickly, ensuring fast iteration and feedback cycles.