Senior AI Engineer

About Shyft Labs
At Shyft Labs, we live and breathe data. Since 2020, we’ve been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create measurable business impact. We’re scaling globally with entities in Canada, the U.S., and India and we’re looking for passionate problem-solvers who are ready to turn big ideas into real outcomes.

The Opportunity
Shyft Labs is looking for a Senior AI Engineer to sit at the intersection of AI/ML engineering and backend platform development. This isn’t a research role, it’s a hands‑on engineering position where you’ll design, build, and ship AI‑powered features directly into production systems. You’ll work closely with Product, Architecture, and cross‑functional engineering teams to integrate intelligent capabilities into our next generation of data‑driven platforms, while also contributing to the scalable backend infrastructure that powers them.

The ideal candidate combines deep AI/ML engineering experience with strong backend development skills, someone equally comfortable fine‑tuning an LLM integration as they are designing a robust API or event‑driven service.

What You’ll Do

Architect and implement AI‑powered features end-to-end, from model integration and prompt engineering to deployment, monitoring, and iteration

Integrate LLM APIs, ML models, and intelligent automation pipelines into scalable, production‑grade backend systems

Fine‑tune and optimize models for performance, reliability, and cost efficiency in live environments

Design and build robust APIs, event‑driven services, and third‑party integrations that support AI‑enabled workflows

Collaborate with Product to translate business requirements into technical AI solutions, defining scope, complexity, and dependencies

Build and maintain data pipelines and MLOps workflows to support model deployment and lifecycle management

Contribute to system architecture decisions, integration patterns, and reusable AI frameworks across the platform

Partner with data scientists and engineers to ensure smooth, scalable model deployments

Produce clear technical documentation, architecture diagrams, data flows, API specs, and AI integration patterns

Lead code reviews, enforce best practices in code quality and testing, and mentor engineers across teams

Troubleshoot complex production issues across distributed and AI‑integrated systems

Stay ahead of industry trends in AI/ML tooling, frameworks, and practices

What You Bring

5+ years of experience building scalable, production‑grade software systems

2+ years of hands‑on AI/ML engineering experience, including deploying models into production environments

Bachelor’s degree in Computer Science, Data Science, AI, or a related field

Strong expertise in Python, with hands‑on experience using frameworks such as Tensor Flow, PyTorch, or Scikit‑learn

Solid backend engineering background, API development, microservices, distributed systems, and event‑driven architectures

Experience integrating LLM APIs and building AI‑driven features into web or platform applications

Strong proficiency in JavaScript/Type Script and Node.js, with exposure to GraphQL

Deep experience building and consuming RESTful APIs and distributed services

Proficiency with SQL and hands‑on experience with cloud platforms, GCP or AWS (e.g., S3, Lambda, RDS, EC2)

Familiarity with MLOps best practices and tools for model monitoring, versioning, and deployment

Strong understanding of software design patterns, system architecture, and data flow design

Excellent communication skills with the ability to articulate complex technical concepts clearly

Experience working in Agile/Kanban environments with a strong grasp of the full SDLC

Nice to Have

Experience with data platforms,…