AI Engineer

Enterprise Technology plays a critical part in shaping the future of mobility.

We are seeking a creative and driven Full-Stack Software Engineer to join our innovative team.

Responsibilities

• AI & ML Development: Design, train, and deploy a variety of AI solutions, including classical machine learning models and advanced Generative AI workflows.
• Agentic Systems: Develop and productionalize AI agents capable of multi-step reasoning, tool-use, and integration with external APIs.
• Software Integration: Architect and build production-ready code to integrate AI/ML models into user-facing applications via RESTful APIs and microservices.
• Pipeline Engineering: Build and maintain scalable data and ML pipelines to automate model training, deployment, and versioning.
• MLOps & Governance: Implement model monitoring and governance frameworks to track performance, drift, and reliability in production.
• Cloud Engineering: Utilize GCP services to build, host, and scale AI applications in a serverless or containerized environment.
• Collaboration: Work within an Agile framework, collaborating closely with Product Managers and other engineers to deliver business value for our commercial customers.

Qualifications

• 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/TensorFlow.
• GenAI Stack: Hands-on experience with LLMs and orchestration frameworks.
• GCP Proficiency: Working knowledge of Google Cloud Platform, specifically Vertex AI, BigQuery, and Cloud Run.
• Software Engineering: Proficiency in Python and a solid understanding of software best practices.