10214 – Sr. AI/ ML Engineer (5 days On-site)

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