{"id":720965,"url":"https://alion.io/job/shyftlabs-associate-ai-engineer","title":"Associate AI Engineer","company":{"id":685982,"name":"Shyftlabs","domain":"shyftlabs.io","url":"https://alion.io/company/shyftlabs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":71,"open_postings":23,"ghost_share":0.478,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":49000,"max_usd":123000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"GCP","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"TypeScript","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Docker","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-05-13T19:25:15Z","employer_posted_date":"2026-05-13","last_verified_at":"2026-10-26T04:47:28Z","board_verified":true,"closed_at":null,"days_open":165,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":165},"description":"About ShyftLabs\nAt ShyftLabs, we live and breathe data. Since 2020, we’ve been helping Fortune 500 companies unlock growth through innovative digital solutions that drive real business impact. With teams across Canada, the U.S., and India, we’re growing quickly and looking for curious, motivated individuals who are excited to learn, build, and solve meaningful problems with technology.\nThe Opportunity\nShyftLabs is looking for an Associate AI Engineer (New Grad) to join our growing engineering team. This is an exciting opportunity for a recent graduate or early-career engineer who wants to work at the intersection of AI/ML and backend software development.\nIn this role, you’ll help design and build AI-powered features that are integrated directly into real-world applications and data platforms. You’ll work closely with experienced engineers, product managers, and architects to develop scalable backend services, integrate AI tools and APIs, and contribute to production-ready systems used by enterprise clients.\nThis is a hands-on engineering role with strong mentorship and learning opportunities, ideal for someone who enjoys both software development and applied AI technologies.\nWhat You'll Do\nAssist in building and integrating AI-powered features into backend applications and workflows\n\nWork with LLM APIs, machine learning models, and automation pipelines to support intelligent product experiences\n\nDevelop and maintain backend APIs, microservices, and integrations using modern development frameworks\n\nCollaborate with cross-functional teams to understand business requirements and translate them into technical solutions\n\nSupport the development of scalable data pipelines and workflows for AI-enabled applications\n\nParticipate in testing, debugging, monitoring, and improving production systems\n\nContribute to technical documentation, API specifications, and architecture discussions\n\nLearn and apply best practices in software engineering, cloud development, and AI integration\n\nParticipate in code reviews and collaborate with senior engineers to improve code quality and system reliability\n\nStay current with emerging AI/ML technologies, tools, and engineering practices\n\nWhat You Bring\nBachelor’s degree in Computer Science, Software Engineering, Data Science, AI, or a related field\n\nInternship, co-op, academic project, or personal project experience in software engineering, AI/ML, or backend development\n\nProficiency in Python and familiarity with libraries or frameworks such as TensorFlow, PyTorch, or Scikit-learn\n\nUnderstanding of backend development concepts such as APIs, microservices, and databases\n\nFamiliarity with JavaScript/TypeScript or Node.js is considered an asset\n\nExposure to REST APIs, SQL, and cloud platforms such as AWS or GCP through coursework, internships, or projects\n\nInterest in AI/ML technologies, including LLMs and intelligent automation tools\n\nStrong problem-solving skills and willingness to learn new technologies quickly\n\nGood communication and collaboration skills in a team environment\n\nUnderstanding of software development fundamentals, including testing, version control, and Agile development practices\n\nNice to Have\nExperience working on personal, academic, or hackathon projects involving AI or data platforms\n\nFamiliarity with tools such as Docker, Git, Kafka, or cloud deployment workflows\n\nExposure to data engineering, ETL pipelines, or analytics systems\n\nInterest in scalable distributed systems or event-driven architectures\n\nContributions to open-source projects, technical clubs, or developer communities\n\nSalary Range\n$60,000 - 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