Associate Engineer - AI/ML
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Key skills for this role
Role Overview
The role focuses on designing and developing LLM-powered intelligent agents for embedded and edge platforms.
The engineer will build autonomous AI workflows, multimodal systems, and real-time inference solutions.
The work supports AI-driven automation, decision-making, and workflow orchestration in automotive and embedded systems.
Key Skills for This Role
Full Job Posting
About the Role
The role focuses on designing and developing LLM-powered intelligent agents for embedded and edge platforms.
The engineer will build autonomous AI workflows, multimodal systems, and real-time inference solutions.
The work supports AI-driven automation, decision-making, and workflow orchestration in automotive and embedded systems.
What You Will Do
- Design LLM-powered agentic workflows and build AI agents with orchestration frameworks.
- Develop multimodal systems using text, logs, and sensor-based inputs.
- Implement RAG pipelines and prompt engineering strategies.
- Optimize edge inference with TensorFlow Lite or similar frameworks, quantization, and hardware acceleration.
- Develop microservices architectures and integrate agents into distributed and service-oriented systems.
- Embed AI into software development, validation, defect analysis, requirement processing, and workflow automation.
Required Qualifications
- Requires 1–3 years of AI/ML and software development experience.
- Requires hands-on LLM application development and agentic AI orchestration experience.
- Requires understanding of multimodal AI, RAG, prompt engineering, edge deployment, and model optimization.
- Requires knowledge of NPU/GPU utilization, microservices, distributed systems, and service-oriented design.
- Requires a degree in Computer Science, Information Technology, Communication Technology, or a related field.
- Requires strong problem-solving, analytical, communication, and collaboration skills.
Bonus Qualifications
- Automotive embedded systems experience is a bonus.
- CI/CD integration for AI pipelines is a bonus.
- AI-driven software development lifecycle tools and AI solutions for debugging, testing, or requirements automation are advantageous.
Work Arrangement
- The role requires working in the office all five days of the week.
About HARMAN
HARMAN develops automotive, lifestyle, and digital transformation technologies across a portfolio of recognized brands.
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