Magna Powertrain is hiring for a fresher entry level Engineer Generative AI role in India

Position:

Engineer Generative AI

Company:

Magna Powertrain (A division of Magna International)

Location:

Bangalore, India

Job Type:

Full-time

Job Mode:

Onsite

Job Requisition ID:

R00214397

Years of Experience:

0–3 years

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Company Description:

• Magna Powertrain is part of Magna International, a leading global automotive supplier committed to transforming mobility through innovation and sustainability.

• The company is known for producing advanced powertrain systems that make vehicles cleaner, safer, and more efficient.

• Magna Powertrain’s work combines expertise in mechanical engineering, data science, and intelligent automation to create products that meet global safety and environmental standards.

• With operations in several regions including India, North America, and Europe, the company focuses on continuous improvement and the integration of next-generation technologies.

• Magna emphasizes innovation, diversity, and collaboration, encouraging employees to think creatively while building real-world solutions.

• The organization promotes professional growth through learning opportunities, mentorship programs, and technical skill development.

• Its philosophy centers on “transforming mobility,” aiming to redefine how vehicles perform in terms of energy efficiency, emission reduction, and safety.

• Magna Powertrain’s culture values teamwork, curiosity, and responsibility toward people and the planet.

• The company invests in future-focused areas like artificial intelligence, electrification, and digital transformation to stay ahead in the competitive automotive space.

• Through global partnerships and technical leadership, Magna provides an environment where professionals can innovate freely and create meaningful impact in the automotive industry.

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Profile Overview:

• The role of Engineer Generative AI focuses on integrating artificial intelligence, specifically generative AI technologies, into automotive product design and engineering workflows.

• The professional will work on developing intelligent systems that enhance the efficiency of engineering processes, from design conceptualization to validation.

• The position involves participation in global AI initiatives and collaboration with teams across India, Europe, and North America.

• The selected candidate will contribute to automating complex tasks and building AI-driven applications that assist engineers in decision-making.

• The individual will be responsible for conceptualizing, developing, and implementing solutions using large language models (LLMs) and other generative AI frameworks.

• The candidate will also help establish standardized processes for data handling, model evaluation, and performance optimization.

• The role is technical but requires strong communication skills to collaborate effectively with various stakeholders and translate business objectives into AI solutions.

• It offers exposure to emerging AI methods, allowing the engineer to experiment with prompt engineering, embeddings, and retrieval-augmented generation (RAG) models.

• The position provides the opportunity to shape AI strategy in automotive product development by driving innovation and digital transformation.

• The candidate’s contributions will directly influence the development of smarter and cleaner automotive technologies while aligning with Magna’s sustainability goals.

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Job Responsibilities:

• Collaborate with internal stakeholders to understand and define the objectives behind each AI project or use case.

• Break down project requirements into clear user stories and translate them into actionable technical tasks.

• Design and develop the functional architecture for AI applications, ensuring scalability and efficiency.

• Select appropriate frameworks, prompting techniques, or AI agents to implement each solution.

• Build systems leveraging generative AI models that can automate documentation, design validation, and data-driven insights.

• Develop testing frameworks using ground truth data for model validation and accuracy assessment.

• Regularly document project milestones, methodologies, and findings to maintain transparency and cross-team knowledge sharing.

• Present updates and results to stakeholders and leadership teams to align AI initiatives with broader organizational objectives.

• Collaborate closely with product development engineers to integrate AI solutions within existing workflows.

• Contribute to building reusable AI modules that can accelerate future product innovations across the company.

• Participate in brainstorming sessions and research discussions focused on advancing AI in powertrain design and manufacturing.

• Identify opportunities for automation using generative AI tools, reducing manual engineering tasks.

• Support the deployment and maintenance of AI systems in production environments.

• Work in cross-functional global teams across continents, ensuring smooth coordination and consistent delivery of results.

• Maintain high coding standards, follow best practices in data management, and ensure AI models comply with organizational policies.

• Contribute ideas that strengthen the company’s AI maturity and long-term innovation roadmap.

• Apply techniques like RAG, embeddings, and prompt tuning to solve practical engineering challenges.

• Utilize data-driven approaches to improve powertrain performance and optimize system reliability.

• Participate in peer code reviews and provide feedback on architectural improvements.

• Document technical lessons learned and share insights across AI and engineering communities within Magna.

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Qualifications:

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related technical disciplines.

• Familiarity with AI or generative AI implementation using Python and relevant libraries.

• Experience with prompt engineering methodologies such as few-shot learning, chain of thought reasoning, and RAG.

• Understanding of embeddings and similarity search algorithms.

• Solid foundation in machine learning and natural language processing (NLP).

• Proficiency in building, evaluating, and fine-tuning models for real-world applications.

Preferred Qualifications:

• Experience using Databricks, Azure cloud, or similar cloud computing platforms.

• Familiarity with LangChain, OpenAI API, and related ecosystem tools.

• Knowledge of the Model Context Protocol (MCP) and multi-agent frameworks.

• Understanding of open-source LLMs such as Llama or Falcon, and experience training smaller fine-tuned models.

• Experience in managing AI or data-driven projects, including timeline and stakeholder coordination.

Bonus Qualifications:

• Understanding of Azure Power Apps or Web Apps for integrating AI into end-user interfaces.

• Familiarity with requirements management and test case development aligned with Automotive SPICE standards.

• Exposure to automotive systems and familiarity with safety and compliance standards.

• Basic understanding of digital twins or simulation-based AI systems in engineering.

• Curiosity and passion for integrating AI into mechanical and automotive engineering disciplines.

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Additional Information:

• Magna encourages diversity, inclusion, and empowerment in its global workforce.

• The company recruits based on skills, potential, and cultural fit, ensuring equal opportunity for all candidates.

• It prohibits discrimination based on race, gender, religion, origin, age, or disability.

• Applicants are expected to submit their profiles through official digital platforms to comply with data protection policies.

• The role provides continuous learning and growth opportunities through technical training and exposure to cutting-edge technologies.

• Employees enjoy a collaborative work culture supported by international peers and leadership teams.

• The environment promotes creative thinking and problem-solving through mentorship and knowledge-sharing programs.

• The company’s focus on sustainability aligns with its mission to create products that serve both people and the planet responsibly.

• Magna offers a flexible yet performance-oriented work environment with recognition for innovation and initiative.

• By joining Magna, engineers gain access to a global ecosystem of automotive leaders shaping the next generation of powertrain systems.

Please click here to apply.