Senior AI Engineer in charge of designing and implementing Generative AI solutions. Focused on improving customer experience and operational efficiency across multiple products.
Responsibilities
Design, build, and operate production-grade Generative AI solutions.
Work across data, models, and applications to deliver reliable AI workflows.
Own initiatives end-to-end, including architecture, experimentation, deployment, monitoring, and continuous improvement.
Shape how we apply Generative AI to high-value business problems by building systems that measurably improve customer experience, operational efficiency, and decision quality.
Raise the quality bar for production AI by setting standards for design, safety, evaluation, and operational readiness.
Mentor other engineers and partner with product, data science, and business stakeholders.
Requirements
Degree in Computer Science, Data Science, Software Engineering or related field.
At least 8yrs of professional experience with a Bachelor’s degree or 6 yrs with a Graduate degree.
1-year experience in Generative AI technologies (included in the overall professional experience), or 1-2 relevant certifications.
Logical, practical, and innovative problem-solving skills.
Strong customer-facing communication: able to lead technical discussions, write clear technical documents, and explain solutions to technical and non-technical audiences.
Shipped and operated LLM-enabled features in production, including evaluation, monitoring, and iteration.
Working knowledge of Generative AI quality and safety practices.
Experience building data-intensive systems end-to-end.
Data engineering fundamentals: ingestion/transforms, maintainable schemas, and retrieval/feature pipelines for analytics and AI.
Strong Python and SQL.
Experience integrating services via APIs.
TypeScript or other strongly typed language experience is a plus.
The ability to learn new tools quickly is required.
Hands-on experience with at least one modern data/analytics platform (e.g., Databricks, Snowflake, Palantir Foundry).
Applied AI Lead deploying Heidi’s healthcare AI for strategic healthcare accounts. Driving adoption, expansion, renewal, and measurable clinical and operational value.
Software Engineer, AI building secure, production - ready LLM and cloud - native solutions for Softchoice, an IT solutions provider. Delivering RAG, APIs, automation, and enterprise AI integrations.
Full - stack developer building TypeScript AI customer - support agents for gaiia’s telco operating system. Developing agent runtimes, omnichannel integrations, evaluation tooling, and safety guardrails.
Senior AI Engineer embedding with clinical, product, and operations teams. Shipping validated, monitored AI features for Prenuvo’s proactive whole - body healthcare platform.
Backend Software Engineer creating realistic coding challenges, bug fixes, and deterministic verifiers for Gramian’s AI training projects. Evaluating backend code quality, reliability, testing, and performance.
Senior AI Engineer building governed MLOps and ML platform foundations for Aviso Wealth’s Canadian wealth management ecosystem. Productionizing AI, GenAI, and agentic solutions.
AI Engineer building production AI, Generative AI, and predictive pricing solutions for RBC Capital Markets. Developing scalable desk - facing tools for Sales & Trading.
Full - stack AI engineer developing agentic applications for Magna’s automotive mobility technology business. Building cloud - deployed workflows, data integrations, and intuitive interfaces for R&D teams.
AI and Automation Leader building secure enterprise AI and automation for Top Aces’ defense training and aircraft sustainment services. Improving aviation readiness, MRO, supply chain, compliance, and corporate productivity.
AI developer building machine - learning models and image datasets for GenAIz's life science and pharmaceutical software. Collaborating with developers, designers, product, business, and architecture teams.