Engineer Generative AI

@ Magna International

Overview

At Magna International, as an Engineer Generative AI, you will integrate state-of-the-art generative AI technologies into powertrain design and validation workflows. Work within a global Gen-AI project team spanning India, EU, and North America while collaborating with cross-functional teams to develop intelligent tools, automate engineering tasks, and accelerate innovation in automotive technology.

What We Offer

Magna offers an engaging and dynamic environment with varied responsibilities and abundant development prospects. You will benefit from strong organizational support and a commitment to individual career growth.

Group Summary

Magna Powertrain is a premier supplier for the global automotive industry focused on designing and manufacturing advanced powertrain systems that are smarter, cleaner, safer, and lighter.

Job Responsibilities

• Collaborate with stakeholders to clarify AI use case objectives and create detailed user stories.
• Develop functional architecture and select appropriate prompting techniques or agent frameworks.
• Implement solutions and establish testing pipelines with ground truth data evaluation.
• Document processes and present project progress to ensure alignment with stakeholders.

Key Qualifications

• Bachelor’s or Master’s in Computer Science, Engineering, Data Science or related field.
• Professional experience in AI/GenAI, LLM implementation using Python libraries.
• Expertise in prompt engineering techniques, machine learning, and NLP.

Preferred & Bonus Qualifications

• Knowledge in Databricks, cloud computing, Azure environment, and libraries such as LangChain and OpenAI.
• Experience with open-source LLMs and Model Context Protocols.
• Familiarity with Automotive SPICE requirements and related testing protocols.

Equal Opportunity & Data Privacy

Magna is committed to diversity and adheres to strict data privacy standards in line with GDPR.

Key skills/competency

• Generative AI
• Automotive
• Powertrain
• Python
• Prompt Engineering
• LLM
• Machine Learning
• NLP
• Azure
• Cloud Computing