Sr. Applied AI Engineer

Why Altium Software Engineering 

Build the cloud platform thats transforming electronics design. Altium Develop/Agile let design engineers communicate collaborate and bring their ideas to market more efficiently than any platform in the industry. Altium offers the opportunity to conceive and build new product features for engineers who develop smart products.

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: Youll be part of a close-knit team with ambitious goals but youll 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. Youll 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 theres always room to discuss the quirks of living on this planet then we might just be a perfect fit.

About the role

Were looking for an experienced 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 youll help build and evaluate real-world AI applications with immediate commercial impact. Youll 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 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 :

Who Were Looking For

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 :

Renesas is an embedded semiconductor solution provider driven by its Purpose To Make Our Lives Easier. As the industrys leading expert in embedded processing with unmatched quality and system-level know-how we have evolved to provide scalable and comprehensive semiconductor solutions for automotive industrial infrastructure and IoT industries based on the broadest product portfolio including High Performance Computing Embedded Processing Analog & Connectivity and Power.
 
With a diverse team of over 21000 professionals in more than 30 countries we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable power-efficient solutions today that help people and communities thrive tomorrow To Make Our Lives Easier.     
 
At Renesas you can: 

• Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.  

• Make a real impact by developing innovative products and solutions to meet our global customers evolving needs and help make peoples lives easier safe and secure. 

• Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system including the remote work option and Employee Resource Groups will help you excel from the first day.    

Are you ready to own your success and make your mark  

Join Renesas. Lets Shape the Future together.  

Renesas Electronics is an equal opportunity and affirmative action employer committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex race religion national origin gender gender identity gender expression age sexual orientation military status veteran status or any other basis protected by law. For more information please read our Diversity & Inclusion Statement.

We have adopted a hybrid model that gives employees the ability to work remotely two days a week while ensuring that we come together as a team in the office the rest of the time. The designated in-office days are Tuesday through Thursday for innovation collaboration and continuous learning.

Remote Work :

No

Employment Type :

Full-time