Role overview:Hyundai AutoEver America is seeking an innovative Sr. Software Engineer - Applied AI Engineer 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: $103,170 to $158,873
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.
