AI Engineer (LLM & Edge AI)

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Machine Learning EngineerData

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Quick Summary

Overview

Join TrustMotion part of NXP TrustMotion part of NXP is looking for AI Engineer to join our growing team working on next-generation AI solutions for embedded platforms.

Technical Tools

Machine Learning EngineerData

Responsibilities

~1 min read

→Design, develop, and optimize AI solutions based on LLMs and VLMs
→Fine-tune foundation models for specific use cases and domains
→Develop and maintain AI agents using modern Agentic Frameworks
→Design and develop MCP tools and integrate them into AI agent workflows
→Evaluate model performance, accuracy, latency, and resource utilization
→Deploy and optimize AI models on embedded and edge computing platforms
→Create proof-of-concepts and support product development activities
→Stay up to date with emerging AI technologies and industry trends

BSc or MSc in Computer Science, Electrical Engineering, Software Engineering, Artificial Intelligence, or a related field
2+ years of relevant professional experience
Strong programming skills
Good understanding of machine learning and deep learning fundamentals
Hands-on experience with LLMs, VLMs, or other Generative AI systems
Hands-on experience with model fine-tuning and evaluation techniques
Experience using AI frameworks such as PyTorch, TensorFlow, Hugging Face, or similar
Understanding of software engineering best practices and version control systems
Experience with Agentic AI frameworks
Experience with MCP tools and AI tools integration

Nice to Have

~1 min read

Knowledge of model optimization and edge AI deployment
Experience with Linux environments
Experience working with multimodal AI systems
Embedded systems experience, particularly in AI model deployment and performance optimization