Associate Engineer - AI/ML

Job Summary

Introduction: A Career at HARMAN Automotive

We re a global, multi-disciplinary team that s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.

• Engineer audio systems and integrated technology platforms that augment the driving experience
• Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
• Advance in-vehicle infotainment, safety, efficiency, and enjoyment

About the Role

We are looking for a highly skilled Agentic AI Engineer to design and develop LLM-powered intelligent agents for embedded and edge platforms. This role focuses on building autonomous AI workflows, multimodal systems, and real-time inferencing solutions integrated into embedded environments.

You will play a key role in advancing AI-driven automation, decision-making, and workflow orchestration in automotive and embedded systems.

What You Will Do

• Design and develop LLM-powered agentic workflows for embedded/edge platforms
• Build AI agents and orchestration pipelines using frameworks such as LangChain / LangGraph
• Develop multimodal AI systems integrating text, logs, and sensor-based inputs
• Implement RAG (Retrieval-Augmented Generation) pipelines and prompt engineering strategies
• Optimize edge AI inferencing, including:
  • TensorFlow Lite or similar frameworks
  • Model quantization and performance tuning
  • Efficient utilization of NPU / GPU resources
• Develop microservices-based architectures for scalable AI deployment
• Integrate AI agents into distributed systems and service-oriented platforms
• Collaborate with cross-functional teams to embed AI capabilities into software development and validation workflows

What You Need to Be Successful

• 1 to 3 years of experience in AI/ML and software development
• Strong hands-on experience in:
  • LLM-based application development
  • Agentic AI workflows and orchestration frameworks (e.g., LangChain)
• Good understanding of:
  • Multimodal AI systems
  • RAG pipelines and prompt engineering
• Experience in edge AI deployment, including:
  • TensorFlow Lite or similar
  • Model optimization and quantization
• Knowledge of hardware acceleration concepts:
  • NPU / GPU utilization
• Strong understanding of:
  • Microservices architecture
  • Distributed systems
  • Service-oriented design

Bonus Points If You Have

• Experience in automotive embedded systems
• Exposure to CI/CD integration for AI pipelines
• Knowledge of AI-driven software development lifecycle tools (SDLC automation)
• Experience building AI solutions for debugging, testing, or requirement automation

What Makes You Eligible

• Degree in:
  • Computer Science
  • Information Technology
  • Communication Technology
  • Or related field
• Strong problem-solving and analytical mindset
• Ability to work in fast-paced, innovation-driven environments
• Good communication and collaboration skills