Title: Entry-Level Generative AI Engineer Location: Peachtree City, GA 30269 OR REMOTE Contract: 6+ Months. Long-term. Department: Advanced Engineering – Automotive AI/Infotainment Industry: Automotive. Position Summary: Our client is seeking a passionate and innovative Generative AI Engineer to join their advanced engineering 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 and data scientists 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 and familiarity with PyTorch or TensorFlow. • Basic understanding of machine learning, NLP, and deep learning architectures (transformers). • Exposure to generative AI frameworks or APIs (OpenAI, Hugging Face, etc.). 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.