Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

We are seeking a creative and driven Full-Stack Software Engineer to join our creative team. You will be instrumental in designing, building, and deploying robust, scalable, and intuitive applications that leverage Generative AI and cloud-native technologies on the Google Cloud Platform (GCP).

This is a role where you will tackle exciting challenges across the entire stack. You won't just be writing code; you will be a key contributor to architectural decisions, product strategy, and the overall technical direction of our AI-powered initiatives.

Required Skills & Experience

- Education: Bachelor’s Degree in Computer Science, Data Science, Statistics, or a related technical field.
- Experience: 3+ years of professional experience in AI/ML engineering or Software Engineering with a focus on model deployment.
- Core ML Knowledge:



Strong foundation in machine learning theory and practical experience with libraries such as scikit-learn, XGBoost, or PyTorch/Tensor Flow.
- GenAI Stack: Hands-on experience with LLMs and orchestration frameworks (., Lang Chain, Llama Index, or Auto Gen).
- GCP Proficiency: Working knowledge of Google Cloud Platform, specifically Vertex AI, Big Query, and Cloud Run.
- Software Engineering: Proficiency in Python and a solid understanding of software best practices, including API design, Git version control, and unit testing.
- Preferred Requirements:
- Infrastructure as Code (IaC): Experience with Terraform for provisioning and managing cloud infrastructure.
- CI/CD Pipelines: Experience with Tekton or similar cloud-native CI/CD frameworks for automating ML workflows.
- Production Experience: Proven track record of taking an AI agent or ML model from a prototype to a stable, monitored production environment.
- Communication: Excellent verbal and written communication skills with the ability to explain technical concepts to non-technical partners.
- Attitude: A strong desire for continuous learning and upskilling in the rapidly evolving AI landscape.

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📌 AI Engineer (India)
🏢 Ford Motor
📍 India