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Renesas Electronics

Automotive-focused MCUs, SoCs, analog devices

Senior Applied AI Engineer

Natural Language Processing & LLMsPosted on Nov 9
Full-timeLisbon, PortugalNo salary listed

About the Job

Requirements

  • Profound knowledge of large language model engineering and how large-language-model-based features are built and evaluated in production-ready environments.
  • Advanced Python development skills to implement AI systems.
  • Production experience with agentic loops, tool-calling, agent orchestration, Model Context Protocol servers, evaluation and benchmarking pipelines, and cost and latency optimization such as context compression and model cascading.
  • Ability to plan experiments and execute tasks autonomously with attention to detail.
  • Ability to learn and keep up with the evolving AI landscape.
  • Experience working in multidisciplinary teams to ship features to customers.
  • Curiosity about user journeys and real-world use cases to validate solutions.

Responsibilities

  • Develop agentic flows using off-the-shelf large language models and modern harnessing methods, including tool-calling, planning, skills, sub-agents, Model Context Protocol servers, and command-line interfaces, for hardware design and requirements management use cases.
  • Collaborate with software engineers, product managers, and designers in an agile, sprint-based environment to ship features and improvements.
  • Build evaluation pipelines, design metrics, and gather data to measure and improve AI-system performance.
  • Extend the test suite and refine and run benchmarks on AI systems.
  • Benchmark models, prompts, and approaches for speed, cost, and accuracy, and methodically improve results using high-impact techniques such as meta-prompting, fine-tuning, retrieval-augmented generation, caching, prompt compression, and distillation.
  • Participate in the full AI product lifecycle, from early-stage experimentation through deployment and continuous improvement.

Desired Qualifications

  • Production experience creating synthetic test data.
  • Production experience with distillation.
  • Production experience debugging agent orchestration.
  • Production experience fine-tuning models.
  • Experience with hardware engineering software.
  • Experience developing end-to-end harnesses for agentic loops.
  • Experience building high-concurrency asynchronous services.
  • Experience with stateful agentic frameworks such as LangGraph.

About the Company

Renesas Electronics

Automotive-focused MCUs, SoCs, analog devices

Renesas manufactures and sells MCUs, SoCs, and analog/power semiconductor devices to OEMs, focusing on automotive, industrial, infrastructure, and IoT markets. Its chips are building blocks that run embedded software and manage power and signals, and its Winning Combinations offer pre-tested system architectures to speed up design. It differentiates itself by growing through acquisitions to offer a broad, integrated portfolio and by moving toward a unified digital design platform to reduce integration work. Its goal is to become a leading supplier of these components and provide a single platform for electronics design that speeds time-to-market.

Company size
10,001+
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
2002

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