AI Engineer

Position Summary:

Our client is seeking a passionate and innovative Generative AI Engineer to join their team. This entry-level role is ideal for recent graduates excited to explore how Generative AI and Large Language Models (LLMs) can transform in-vehicle infotainment, driver assistance, and connected car experiences. You will work closely with senior engineers to prototype, train, and deploy AI models that power next-generation automotive systems.

Key Responsibilities:

• Assist in fine-tuning and evaluating generative AI models for automotive applications, including voice assistants, driver information systems, and predictive maintenance.
• Support the development of prompt engineering strategies for natural language-based in-vehicle interactions.
• Help preprocess and clean text, audio, and telematics datasets for AI model training.
• Collaborate with cross-functional teams to integrate AI models into infotainment and telematics platforms.
• Research emerging Gen AI trends to identify potential automotive use cases (e.g., personalized infotainment recommendations, AI copilots for drivers).
• Document experiments, results, and best practices for knowledge sharing.

Required Qualifications:

Education:

Bachelor’s or Master’s in Computer Science, Electrical Engineering, Data Science, Artificial Intelligence, or related field.

Technical Skills:

• Proficiency in Python
• Devops CI/CI
• Software Development experience
• API’s
• Database knowledge

Soft Skills:

• Strong analytical and problem-solving mindset.
• Ability to work collaboratively in a fast-paced, innovative environment.
• Enthusiasm for applying AI to automotive user experiences.

Preferred Qualifications (Nice to Have):

• Familiarity with embedded systems or automotive software development is a plus.
• Hands-on experience or academic projects in voice recognition, speech synthesis, or multimodal AI.
• Knowledge of automotive communication protocols (CAN, LIN, Ethernet).
• Familiarity with cloud-based AI services (AWS SageMaker, Azure Cognitive Services).
• Understanding of functional safety and cybersecurity considerations for AI in automotive systems