10850 - Sr. Software Engineer - Applied AI

Hyundai Autoever America

• $130K — $172K *
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or master's degree in computer science, engineering, or related field.
  • 8+ years of software engineering experience, with at least 3 years in AI/ML development.
  • Experience delivering production-ready AI systems and automated workflows.
  • Hands-on expertise with modern agent frameworks like AutoGen and LangGraph.
  • Strong proficiency in Python and AI/ML tools such as TensorFlow or PyTorch.
  • Deep experience with vector databases and embedding-based retrieval techniques.
  • Practical experience with cloud AI platforms and ML Ops best practices.

Responsibilities

  • Design and implement applied AI solutions, including LLM applications and generative AI tools.
  • Develop full-stack AI applications, integrating front-end interfaces with back-end services.
  • Build production-ready AI systems that link to enterprise platforms and automotive applications.
  • Own experimentation by rapidly prototyping PoCs/MVPs and iterating on model performance.
  • Collaborate across teams to translate business requirements into effective AI capabilities.

Benefits

  • Comprehensive medical and dental coverage.
  • Generous PTO.
  • Education assistance.
  • Annual merit increase eligibility in a growth-focused environment.
Full Job Description
10850 - Sr. Software Engineer, Applied AI
Location: Irvine, CA

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.

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