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What we offer:Job Responsibilities:
We are seeking a highly skilled AI Developer to join our team and drive the design, implementation, and scaling of advanced AI solutions. This role combines in-depth coding expertise with a strong systems engineering mindset: you’ll own the execution of end-to-end AI platform lifecycle—from infrastructure, and MLOps pipelines to production deployment and ongoing performance optimization. You’ll collaborate closely with solutions architects, data scientists, DevOps engineers, and product owners to turn models into reliable, secure, and maintainable services at enterprise scale.
Major Responsibilities
Design, build, and maintain AI/ML platform components (training clusters, feature stores, inference services, GenAI, vision, RAG, NLP).
Develop and manage infrastructure-as-code for scalable deployments (Terraform, ARM template)
Implement and operate CI/CD pipelines for automated model training, testing, and deployment
Integrate AI services with existing systems via APIs, messaging, and data pipelines
Monitor performance, reliability, and model drift; establish alerting and incident-response runbooks.
Optimize system performance through capacity planning, performance tuning, and disaster-recovery strategies
Write, and maintain high-quality, reusable code and libraries (C#, Python, Java)
Collaborate with cross-functional teams (Architect, Data Science, DevOps, Security) and document system designs and SOPs.
Knowledge and Education
Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, or related field
Work Experience
3+ years in software engineering roles, with 2+ years building and operating AI/ML platforms
Proven track record delivering production-grade AI services at scale
Skills and Competencies Required to Perform the Job
Cloud Platforms: Proficiency with various cloud platform services for compute, storage, and networking (e.g. AWS, Azure etc.)
Containerization & Orchestration: Hands-on experience with Docker, Kubernetes, Helm
Strong skills and knowledge in distributed system architecture, integration, software design patterns, and object-oriented programming concepts and patterns. (Microservices, Monolith, Modular Monolith, containerized applications, etc.)
MLOps: Building and managing pipelines using GitLab CI, Argo CD, MLflow
Programming Languages: Advanced Python (including async and multithreading); familiarity with C#, Python, or Java.
LLM Application & Agent Frameworks: Experience designing and implementing RAG/agentic workflows using LangChain and LangGraph (tooling, chaining, memory, orchestration)
Machine Learning Frameworks: Deep knowledge of TensorFlow, PyTorch, scikit-learn
Data Engineering: Experience with Kafka, Azure Data Factory, Databricks, and Beam for data ingestion and processing
Monitoring & Observability: Implementing observability stacks (Azure Monitor, Prometheus, Grafana, ELK) and alerting
Security & Compliance: Securing data pipelines, understanding of GDPR/CCPA implications
Cross-Functional Collaboration: Effectively partner with Data Science, DevOps, Security, and Product teams
Technical Documentation: Clear authoring of runbooks, SOPs, and API specs
Stakeholder Communication: Translating technical concepts into business terms for executives and non-technical audiences
Presentation Skills: Leading demos, technical deep dives, and knowledge-sharing sessions
Continuous Learning: Staying current with emerging AI/ML, MLOps, and platform engineering trends
Working Conditions and Environment
No Travel
Any Additional Information
Excellent English in both spoken and written.
Excellent problem-solving and decision-making abilities.
Strong communication skills and the ability to lead cross-functional teams.
At 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.
AI-Assisted Screening Disclosure
As 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.
Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.
Skills Required
- Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, or a related field
- 3+ years of experience in software engineering roles
- 2+ years of experience building and operating AI/ML platforms
- Track record delivering production-grade AI services at scale
- Proficiency with cloud platform services, such as AWS or Azure
- Hands-on experience with Docker, Kubernetes, and Helm
- Experience building and managing MLOps pipelines using GitLab CI, Argo CD, and MLflow
- Advanced Python skills, including asynchronous programming and multithreading
- Experience designing RAG or agentic workflows using LangChain and LangGraph
- Deep knowledge of TensorFlow, PyTorch, and scikit-learn
- Experience with Kafka, Azure Data Factory, Databricks, and Beam
- Experience implementing observability stacks using Azure Monitor, Prometheus, Grafana, or ELK
- Understanding of data-pipeline security and GDPR/CCPA implications
- Excellent spoken and written English
- Strong communication, problem-solving, decision-making, presentation, and cross-functional leadership skills
What the Team is Saying
Magna International Compensation & Benefits Highlights
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Healthcare Strength — Company materials highlight comprehensive medical, dental, vision, disability and life insurance in the U.S., paired with wellness initiatives and a confidential Employee & Family Assistance Program.
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Retirement Support — U.S. filings and recruiting pages describe a 401(k) with a 50% match on the first 6%, a deferred profit‑sharing component, and at some sites a 3% base company contribution after six months.
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Strong & Reliable Incentives — Profit sharing and performance‑linked rewards are embedded in the total‑rewards philosophy and documented in filings, with recent materials indicating these programs remain active.
Magna International Insights
What We Do
We are a mobility company that innovates like a start-up and thinks like a technology company. This helps us anticipate change in one of the most complex industries in the world and respond quickly. We depend on a team of 171,000 dynamic, entrepreneurial-minded employees in an environment where great ideas flourish. Our presence spans 343 manufacturing operations and 88 product development, engineering and sales centers in 29 countries. We understand that you need a career as unique as you are. Whether you want to advance your existing expertise or try something completely different, we are committed to your growth.
Why Work With Us
At Magna, our engineering team is advancing mobility for everyone and everything. Joining this team means being a part of the design, development, and manufacturing of the world’s most advanced mobility technology. Innovations that move families, shape communities, and improve lives. You can follow your passions and shape your own career path.
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Magna International Teams
Magna International Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.
