Job Purpose: Hyundai AutoEver America is looking for a highly experienced and technically proficient Senior AI/ML Engineer to lead innovations and deliver impactful AI solutions for the automotive industry. This individual will play a pivotal role in designing and deploying advanced AI systems leveraging machine learning and generative AI techniques—including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic frameworks. The ideal candidate brings 8+ years of experience in software engineering, including 3+ years of deep AI/ML expertise, with a strong track record in developing scalable AI solutions across cloud environments. The role requires a strategic thinker with strong execution capability, capable of leading initiatives, mentoring engineers, and collaborating across multidisciplinary teams to transform business needs into AI-powered systems.   Essential Functions: AI System Architecture & Model Development: + Design and build scalable AI/ML systems with a focus on performance and reliability. + Fine-tune and deploy LLMs for tasks like summarization, predictions, financial reports, and data retrieval. + Build agent-based workflows and Retrieval-Augmented Generation (RAG) systems for reasoning and insights. + Build front-end interfaces using React (or similar frameworks) to visualize AI outputs, dashboards, and workflows. + Work across the full stack to integrate AI features into user-facing and internal tools. + Collaborate with UX/UI teams to design and deliver seamless user experiences powered by AI. + Ensure AI systems comply with industry standards, internal governance policies, and responsible AI practices. + Document model architectures, prompt engineering strategies, decision logs, and workflows to support knowledge sharing and audits. Data Engineering & Model Operations: + Build data pipelines for training and deploying AI/ML models. + Work with structured and unstructured automotive data using Python, SQL, and visualization tools. + Use platforms like AWS SageMaker or Azure ML to train, deploy, and monitor models. + Continuously improve model performance through better prompts, data, and architecture.   Integration & Product Collaboration: + Work with product managers and engineering teams to embed AI into user-facing and enterprise systems. + Lead MVPs and proof-of-concepts to test ideas quickly and effectively. + Make sure AI systems meet standards for performance, privacy, and security. + Leadership & Technical Mentorship: + Provide technical leadership across AI/ML initiatives and influence strategic AI roadmaps. + Mentor junior engineers, define coding and deployment standards, and champion best practices in AI/ML development. + Lead code reviews, technical design sessions, and innovation workshops to elevate team capabilities.   Basic Requirements: + Bachelor’s or Master’s degree in computer science, Engineering, Artificial Intelligence, or related fields. Advanced degrees or relevant certifications in AI/ML or Cloud Technologies are a plus. + Minimum 8+ years in software engineering, with at least 3+ years in AI/ML solution development. + Proven hands-on experience designing, training, and deploying LLMs, deep learning models, and traditional ML algorithms. + Strong background in prompt engineering, RAG frameworks, and development of AI agents for complex workflows. + Deep understanding of MLOps best practices including CI/CD, version control, automated testing, and model monitoring. + Expert-level proficiency in Python, with strong command over AI/ML libraries such as TensorFlow, PyTorch, and Hugging Face. + Hands-on experience with AWS SageMaker, Azure OpenAI, or Azure ML Studio. + Strong expertise in vector databases, Azure AI Search, document intelligence tools, LLM prompt design, and agent orchestration. + Experience in developing user interfaces using modern frontend frameworks (e.g., React) to build intuitive AI-driven dashboards and applications. + Proficiency in container technologies (Docker, Kubernetes) and experience deploying AI solutions in production environments. + Experience integrating AI with enterprise platforms and APIs in microservice architecture. + Strong knowledge of relational and NoSQL databases (e.g., Cosmos DB, MongoDB) for AI metadata and embeddings. + Strong problem-solving and debugging skills, particularly in AI model evaluation and optimization. + Excellent communication and presentation skills, with the ability to clearly articulate complex AI solutions, demonstrate product capabilities, and engage effectively with stakeholders across technical and business domains. + Demonstrated leadership in mentoring engineers and driving enterprise AI projects to success. + Ability to manage priorities and deliver high-impact solutions in a dynamic, fast-paced environment. Preferred Qualifications: + Experience in the automotive or mobility industry, including telematics, diagnostics, or intelligent vehicle systems. + Experience implementing GenAI solutions across poly-cloud or hybrid cloud environments (e.g., combining Azure, AWS, GCP). + Prior experience with LLM fine-tuning, multi-modal AI, or autonomous agent frameworks. + Familiarity with tools such as LangChain, MLflow, Vertex AI, Dialogflow, and Azure Monitor. + Awareness of emerging trends in generative AI, ethical AI practices, and AI security/compliance.  Salary Range - $103,170 - $158, 873   Powered by JazzHR