Senior Applied AI Engineer

Renesas Electronics Corporation; Lisboa; Híbrido; EUR 70 000 - 110 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health Insurance (Allianz)

Meal Allowance

Remote Working Abroad Program

Professional Development Grant

LinkedIn Learning access

Mental Health Benefit

Time Off

Office comforts

Resumo da oferta

Altium Limited is seeking a Senior AI Engineer to push the frontier of AI in Requirements Management and Hardware Engineering. You will design, develop, and deploy LLM‑driven systems used by hardware product teams worldwide, shaping production‑level AI capabilities in a product‑led environment.

Join a collaborative team focused on autonomous, creative AI solutions, with emphasis on growth, learning, and delivering real‑world impact across a software‑defined electronics platform.

Qualificações

• Proven knowledge of LLM engineering and production‑ready features.
• Advanced Python development skills to implement such systems.
• Experience with agentic loops, tool‑calling, and agent orchestration.
• Experience with MCP servers and evaluation/benchmarking pipelines.
• Ability to plan experiments and execute autonomously with attention to detail.
• Familiarity with evolving AI landscape and cross‑functional teamwork.
• Comfort with building end‑to‑end harnesses for agentic loops and real‑world use cases.

Responsabilidades

• Develop agentic flows using off‑the‑shelf LLMs and modern harnessing methods for hardware design/use‑cases.
• Collaborate with software engineers, product managers, and designers in an agile environment to ship features.
• Build evaluation pipelines, define metrics and gather data to improve AI‑driven systems.
• Extend test suites and run benchmarks on AI systems to ensure reliability and cost efficiency.
• Benchmark models, prompts and approaches for speed and accuracy and improve results.
• Participate in the full AI product lifecycle from experimentation to deployment and improvement.

Conhecimentos

LLM engineering

Python development

Agentic loops

Tool-calling

Agent orchestration

Evaluation pipelines

Benchmarking

Cost & latency optimization

Ferramentas

LangGraph

MCP servers

Descrição da oferta de emprego

Job Description

About the Team:

The Requirements Portal delivers essential features on the Altium Develop/Agile platform for engineering teams to collaborate on their product requirements. It covers the entire lifecycle from importing with smart importers customer requirements, collaborating on them, connecting them to the electronics design, verifying them and creating relevant compliance documents.

• Shape the future: You'll be part of a close-knit team with ambitious goals, but you'll also have the freedom and power to define the best way to achieve them. Collaborate with your team to map out the features and technical path that will bring our product vision to life;
• Grow together, share knowledge: We foster a culture of continuous learning and knowledge sharing. You'll have the opportunity to learn from and mentor your teammates, contributing to a collaborative environment where everyone thrives;

If you like the idea of working in an environment that encourages creative and autonomous work, focuses on your growth potential and where there’s always room to discuss the quirks of living on this planet, then we might just be a perfect fit.

About the role

We’re looking for an experienced Senior AI Engineer to join our team working at the frontier of applied AI in Requirements Management and Hardware Engineering more in general.

This is a hands‑on role where you’ll help build and evaluate real-world AI applications with immediate commercial impact. You’ll help design, develop, and deploy LLM‑driven systems used by hardware product teams around the world, while learning how AI projects move from idea to production inside a product‑led development team in the age of Agentic Hardware Engineering.

A day in the life of our Senior AI Engineer

• Develop agentic flows using off‑the‑shelf LLMs and applying modern harnessing methods (tool-calling, planning, skills, sub-agents, mcp servers, CLIs, etc.) to hardware design/requirement 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 the performance of AI‑driven systems.
• Extend test‑suite, refining and running benchmarks on our AI systems.
• Benchmark models, prompts and approaches for speed, cost and accuracy and improve results methodically using techniques with highest impact (meta prompting, fine tuning, RAG, caching, prompt compression, distillation, etc.)
• Participating in the full AI product lifecycle: from early‑stage experimentation to deployment and continuous improvement.

Qualifications

Essential skills:

• Profound knowledge of LLM engineering and how LLM‑based features are built and evaluated in production‑ready environments
• Advanced Python development skills to implement such systems
• Production Experience with:
  • Agentic loops
  • Tool‑calling
  • Agent orchestration
  • MCP servers
  • Evaluation and benchmarking pipelines.
  • Cost and latency optimization (context compression/model cascading etc)
• Ability to plan experiments and execute tasks autonomously with an eye for detail
• Quick learner to understand and keep up with the constantly evolving AI landscape
• Experience in working in multi disciplinary teams to ship features to customers
• Curiosity for user journeys and real‑world use cases to validate solutions

Nice to have:

• Production experience with:
  • Synthetic test data creation
  • Distillation
  • Agent Orchestration Debugging
  • Finetuning models
• Experience with (hardware) engineering software
• Experience with developing end‑to‑end harnesses for agentic loops
• Experience with building high concurrency asynchronous services
• Experience with stateful agentic frameworks (like LangGraph)

Additional Information

• Private Health Insurance (Allianz) – Altium covers 100% of the health insurance cost for employees. Coverage can be extended to family members (spouse/partner and children).
• Meal Allowance – Paid via a prepaid meal card, providing the maximum tax‑exempt daily amount for each working day.
• Remote Working Abroad Program – This program enables eligible employees to apply to work from a country outside of their country of employment for up to 30 business days in a rolling 12‑month period.
• Professional Development Grant – Financial assistance is available for professional development programs, reimbursed after the course is successfully completed with a passing grade or certification.
• Learning Resources – Unlimited access to LinkedIn Learning and the company intranet talent portal, hosting essential skills training and digital learning platforms.
• Mental Health Benefit (nilo.health) – Access to a mental well‑being platform providing one‑to‑one sessions with certified psychologists and expert‑backed digital tools.
• Time Off – 22 vacation days per calendar year (for full‑time employees) and a shortened work schedule on Christmas Eve and New Year’s Eve (finishing at 12:30 p.m.).
• Office Comforts – Ergonomic workplaces, fresh fruits, snacks, free coffee and drinks, and a rooftop terrace for your comfort.

Altium Limited, a part of the Renesas Group and headquartered in San Diego, California, is a global software company accelerating the pace of electronics innovation. We are redefining electronic product creation in a software‑defined world with our industry‑first cloud‑based platform that unites every stakeholder and phase of electronics development.

From startups to world’s technology giants,our digital platforms give more power to PCB designers, supply chain, and manufacturing, letting them collaborate as never before. At Altium, our teams are empowered to innovate, collaborate globally, and help create the future of electronics development.

We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.