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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.