Job description

10850 - Sr. Software Engineer, Applied AI Location: Irvine, CA Company Overview Hyundai AutoEver America (HAEA) is the dynamic IT powerhouse behind Hyundai Motor Corporation, a Fortune 500 global leader in the automotive industry. As a key affiliate, we provide cutting-edge IT services and support to top brands including Kia, Genesis, Hyundai Translead, Hyundai Mobis, Hyundai Capital, and Glovis. HAEA offers a truly global and collaborative environment. Here, you’ll drive innovation, boost operational efficiency, and help shape the future of mobility for the Hyundai Motor Group. At HAEA, we understand that IT is the cornerstone of today’s fast-evolving digital world. By uniting all IT resources under one roof, we deliver consistent, top-quality solutions while serving as the crucial information link between Hyundai’s Global Headquarters and North American operations. If you’re passionate about technology and eager to make a real impact at a world-class company, Hyundai AutoEver America is the place to grow your career. Join us and be part of the transformation that’s driving the future of automotive innovation. Role overview: Hyundai AutoEver America is seeking an innovative Sr. Software Engineer - Applied AI to design, build, and operationalize real‑world AI solutions that enhance automotive industry applications. This role focuses on developing LLM‑powered applications, RAG systems, intelligent agents, and full‑stack AI workflows—from prototype through production. You will translate business needs into scalable AI systems, integrate models into cloud environments, and collaborate across engineering, product, and data teams to deliver impactful, user‑centric AI capabilities. This is a hands‑on engineering role ideal for someone passionate about applying modern AI in practical, high‑value scenarios. What You Will Do: • Design and implement applied AI solutions, including LLM applications, RAG pipelines, agentic workflows, predictive models, and generative AI tools. • Develop full‑stack AI applications, building front‑end interfaces and integrating them with backend services and cloud architecture. • Build production‑ready AI systems that integrate with enterprise platforms, and user-facing automotive applications. • Own applied experimentation, prototype rapid PoCs/MVPs, refine prompts, iterate on model performance, and enhance AI reliability. • Collaborate with cross-functional teams to translate requirements into AI capabilities and ensure solutions meet governance, privacy, and security standards. Basic Requirements: • Bachelor’s or master’s degree in computer science, engineering or a related field. • 8+ years of software engineering experience, including 3+ years focused on AI/ML solution development. • Proven experience delivering production-ready AI systems, including LLM-based applications, traditional ML models, RAG pipelines, and agentic/automated workflows. • Hands-on expertise with modern agent frameworks such as AutoGen, LangGraph, LlamaIndex, CrewAI, and n8n, with strong knowledge of multi-agent orchestration patterns. • Strong proficiency in Python and core AI/ML tooling, including TensorFlow or PyTorch, the Hugging Face ecosystem, and common AI orchestration frameworks. • Deep experience with vector databases (Pinecone, ChromaDB, FAISS) and embedding-based retrieval techniques. • Advanced understanding of prompt engineering, RAG architecture, model evaluation, and LLM optimization strategies. • Practical experience with cloud AI platforms such as AWS SageMaker/Bedrock, Azure OpenAI, or Azure AI Foundry, along with ML Ops best practices (CI/CD, testing, model monitoring, observability). • Proficiency with full-stack and cloud-native development, including React, microservice APIs, relational/NoSQL databases, Docker, and Kubernetes. • Experience implementing the Model Context Protocol (MCP) to improve context sharing, interoperability, and coordination across multi-agent systems. Salary range: $130,510 to $172,000 In addition to a competitive salary, this position offers a fantastic benefits package that includes comprehensive medical/dental coverage, generous PTO, education assistance, and annual merit increase eligibility in a growth-focused work environment. Team Culture:   Our team thrives on collaboration, innovation, and continuous learning. We foster a supportive environment where every member is encouraged to share ideas and contribute to problem-solving. We value: • Passion for Technology: We are enthusiastic about emerging technologies and their potential to transform the automotive industry. • Agility: We work in an agile environment, adapting quickly to changes and continuously improving our processes. • Teamwork: We believe in the power of teamwork and collaboration, supporting each other to achieve common goals. • Growth: We prioritize personal and professional growth, offering opportunities for learning and development. • Inclusivity: We maintain an inclusive culture where diverse perspectives are valued and everyone feels welcome. Our Company adheres to the equal employment opportunity guidelines set forth by federal, state and local laws. The information requested on this form is sought in good faith and will not be used to discriminate against the applicant based on race, religion or creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic characteristics, marital status, sex or gender (which includes pregnancy, childbirth, or related circumstances), gender identity, gender expression, age, citizenship, sexual orientation, family care or medical leave status, military and veteran status, political affiliation, or any other characteristic protected by federal, state and local laws.

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10850 - Sr. Software Engineer, Applied AI
Location: Irvine, CA
Company Overview
HAEA offers a truly global and collaborative environment. Here, you’ll drive innovation, boost operational efficiency, and help shape the future of mobility for the Hyundai Motor Group.
This is a hands‑on engineering role ideal for someone passionate about applying modern AI in practical, high‑value scenarios.
What You Will Do: • Design and implement applied AI solutions, including LLM applications, RAG pipelines, agentic workflows, predictive models, and generative AI tools.
Develop full‑stack AI applications, building front‑end interfaces and integrating them with backend services and cloud architecture.
Build production‑ready AI systems that integrate with enterprise platforms, and user-facing automotive applications.
Own applied experimentation, prototype rapid PoCs/MVPs, refine prompts, iterate on model performance, and enhance AI reliability.
Collaborate with cross-functional teams to translate requirements into AI capabilities and ensure solutions meet governance, privacy, and security standards.
Basic Requirements: • Bachelor’s or master’s degree in computer science, engineering or a related field.
8+ years of software engineering experience, including 3+ years focused on AI/ML solution development.
Proven experience delivering production-ready AI systems, including LLM-based applications, traditional ML models, RAG pipelines, and agentic/automated workflows.
Hands-on expertise with modern agent frameworks such as AutoGen, LangGraph, LlamaIndex, CrewAI, and n8n, with strong knowledge of multi-agent orchestration patterns.
Strong proficiency in Python and core AI/ML tooling, including TensorFlow or PyTorch, the Hugging Face ecosystem, and common AI orchestration frameworks.
Deep experience with vector databases (Pinecone, ChromaDB, FAISS) and embedding-based retrieval techniques.
Advanced understanding of prompt engineering, RAG architecture, model evaluation, and LLM optimization strategies.
Practical experience with cloud AI platforms such as AWS SageMaker/Bedrock, Azure OpenAI, or Azure AI Foundry, along with ML Ops best practices (CI/CD, testing, model monitoring, observability).
Proficiency with full-stack and cloud-native development, including React, microservice APIs, relational/NoSQL databases, Docker, and Kubernetes.
Experience implementing the Model Context Protocol (MCP) to improve context sharing, interoperability, and coordination across multi-agent systems.
Agility: We work in an agile environment, adapting quickly to changes and continuously improving our processes.
Teamwork: We believe in the power of teamwork and collaboration, supporting each other to achieve common goals.
Growth: We prioritize personal and professional growth, offering opportunities for learning and development.
Inclusivity: We maintain an inclusive culture where diverse perspectives are valued and everyone feels welcome.

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