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AI Developer, Digital Enterprise

Magna International

Bengaluru

3-5 years

Today

$25.3K–39.8K/yr

Full-time

Onsite

Skills Required LLM

RAG

LangChain

Gen AI

LangGraph

MLOps

AI/ML

Machine Learning

Terraform

ARM template

CI/CD

APIs

Docker

Kubernetes

Helm

Description Magna is seeking a highly skilled AI Developer to design, implement, and scale advanced AI solutions in an enterprise environment. The role combines coding expertise with systems engineering across infrastructure, MLOps, and production deployment.

Company: Magna

Role: AI Developer

Experience

- 3 to 5 years of work-related experience
- 3+ years in software engineering roles
- 2+ years building and operating AI/ML platforms
- Proven track record delivering production-grade AI services at scale

Qualification

- Bachelor’s degree in Computer Science, Electrical/Computer Engineering, or related field
- Master’s degree in Computer Science, Electrical/Computer Engineering, or related field

Responsibilities

- Own the end-to-end AI platform lifecycle from infrastructure to production deployment and performance optimization
- Design, build, and maintain AI/ML platform components including training clusters, feature stores, inference services, GenAI, vision, RAG, and NLP
- Develop and manage infrastructure-as-code for scalable deployments
- 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
- Collaborate with solutions architects, data scientists, DevOps engineers, product owners, Security, and other cross-functional teams
- Document system designs and SOPs
- Translate technical concepts into business terms for executives and non-technical audiences
- Lead demos, technical deep dives, and knowledge-sharing sessions

Additional Responsibilities

- Maintain safe work practices and comply with Magna health and safety requirements
- Participate in training and hazard reporting
- Support a secure, reliable, and maintainable enterprise-scale service environment

More Skills AI/ML platforms, Infrastructure-as-code, CI/CD pipelines, Distributed system architecture, Software design patterns, Object-oriented programming, Microservices, Monolith, Modular Monolith, GitLab CI, Argo CD, MLflow, Python, C#, Java, Async programming, Multithreading, Agentic workflows, TensorFlow, PyTorch, scikit-learn, Kafka, Azure Data Factory, Databricks, Beam, Azure Monitor, Prometheus, Grafana, ELK, Messaging, Data pipelines, Security, GDPR, CCPA, Technical documentation, Stakeholder communication, Presentation skills, English, Problem-solving, Decision-making, Cross-functional leadership

Other

- Engaging and dynamic environment
- Support and resources for employee success




- Exciting, varied responsibilities
- Wide range of development prospects
- Global team
- 65+ years of expertise
- Mobility technology company
- Automotive technologies
- No travel
- Excellent English in both spoken and written
- Strong communication skills
- Ability to lead cross-functional teams
- Equal prospect employer
- Hiring based on experience and qualifications
- AI-assisted initial screening through Workday system
- AI tools used only to support recruiters
- Final decisions made by the hiring manager and hiring team
- No applicant data shared externally through AI tools
- Information handled in accordance with privacy and data protection policies
- Regular / Permanent
- Group: Magna Corporate

Prepare for this role Recommended resources to build the skills for this position. Sponsored.

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