{"id":1144647,"url":"https://alion.io/job/magna-engineer-full-stack-ai-sw","title":"Engineer, Full Stack AI & SW","company":{"id":94374,"name":"Magna","domain":"magna.com","url":"https://alion.io/company/magna-com","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":286,"ghost_share":0,"stale_share":0.801,"repost_share":0,"time_to_fill_p50_days":41,"computed_at":"2026-09-23T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada","Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":84500,"max":115200,"currency":"USD","period":"year","gross":null,"usd_annual":115200},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Bash","optional":false},{"name":"Git","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Linux","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Next.js","optional":false},{"name":"Copilot","optional":true},{"name":"CrewAI","optional":true},{"name":"Databricks","optional":true},{"name":"GDPR","optional":true},{"name":"JavaScript","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Python","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-09-23T14:21:02Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-23T19:12:23Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job descriptions may display in multiple languagesbased on your language selection.\nWhat we offer:\nAt Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.\nGroup Summary:\nMagna is more than one of the world’s largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-mindedteam. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.\nJob Responsibilities:\nAbout us\nWe see a future where everyone can live and move without limitations. That’s why we are developing technologies, systems and concepts that make vehicles safer and cleaner, while serving our communities, the planet and, above all, people.\nForward. For all.\nGroup Summary\nMagna is more than one of the world’s largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.\nAbout the Role\nThis position will be responsible for the design, development, deployment, and maintenance of full-stack agentic AI applications. These apps can have different maturity levels from early concepts with mockups to minimum viable product (MVPs) and production ready applications. To ensure proper user experience underlying problems and demands must be discussed with the internal customer and team to allow the clean design of the workflow that needs to be implemented.\nThe primary focus is creating measurable value for end users through intuitive, efficient, and reliable AI-powered solutions. Beyond core functionality such as agentic workflows, data integration, and engineering tool connectivity through MCP servers, delivering a high-quality user experience through intuitive UI/UX design is a key success factor.\nTypical R&D application development begins with analyzing engineering processes and identifying bottlenecks that reduce efficiency, quality, or scalability. The role will work together with other R&D teams and internal customers.\nYour Responsibilities\nSalary: $ 84,500-115,200 annually (TBC)\nImmediate, open position\nEvaluation of technologies and product designs with compliance to scientific principles, engineering principles, company standards, customer requirements and related specifications\nSupport the development of innovative components and modules from the initial concept phase through the complete development process including design engineering, validation, prototyping, testing, and evaluation of the proposed production capable process and business case\nContribute to team effort by providing innovative ideas for products and processes and by sharing new information with other team members\nProvide engineering support to other departments within the company as directed by the department leader\nManage innovation projects by monitoring progress, coordinating activities, resolving technical issues with engineering teams, maintaining documentation systems, and preparing progress reports\nWho we are looking for\nBachelor's or higher degree in Engineering including but not limited to: Computer Science, Artificial Intelligence\n2 years or more experience in SW / AI related Industry\nExcellent spoken and written communication skills, with the ability to communicate effectively and professionally\nHands-on experience developing agentic AI applications using frameworks and platforms such as CrewAI, LangGraph, Microsoft 365 Copilot, and Model Context Protocol (MCP), including agent orchestration, tool integration, and workflow design.\nExperience in cloud deployment (docker, azure, databricks, …)\nProficient in programming Python and object-oriented programming (OOP) principles.\nProficient with development tools including Git version control, Linux terminal, and Bash scripting.\nExperience with different data structures, data bases - knowledge graphs\nExperience in frontend web development (next.js, react, …)\nYour preferred qualifications\nAdditional Engineering Domain Knowledge beneficial\nPlease Note\nAccommodations for disabilities in relation to the job selection process are available upon request.\nCandidates will be required to complete a Criminal Records Check, and if deemed necessary, a Credit Check as part of the candidate selection process.\nWhat we offer\nAt Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.\nIn addition, we offer you the following site benefits:\nWellness programs and events\nAccess to private park for employees & their families\nAwareness. Unity. Empowerment.\nAt Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.\nAwareness, Unity, Empowerment:\nAt Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.\nAI-Assisted Screening Disclosure\nAs part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.\nUnder conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.\nIf you have any questions or concerns about this process, feel free to contact our Talent Attraction team.\nWorker Type:\nRegular / PermanentGroup:\nMagna Corporate","description_format":"text","description_chars":7717,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Wellness"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Automotive Manufacturing"],"lifecycle":[{"event":"open","at":"2026-09-23T14:21:02Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":41,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-09-23T20:07:08Z"},"pay":{"stated_usd_annual":115200,"is_top_pay":false},"html_url":"https://alion.io/job/magna-engineer-full-stack-ai-sw","json_url":"https://alion.io/job/magna-engineer-full-stack-ai-sw.json","meta":{"generated_at":"2026-09-23T20:07:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}