Summary
✨ AI‑Generated
A technology organization is seeking a hands-on lead software engineer to build production-grade generative AI and agentic systems. You will design full-stack cloud-native applications, orchestrate AI agents and multi-agent architectures, lead technical architecture from prototype to production, build APIs and distributed services, and explore emerging interoperability standards and foundation-model platforms.
Highlights
Hands-on technical leadership in cutting-edge generative and agentic AI, end-to-end ownership from prototypes to production, exposure to emerging interoperability standards, and opportunities to build scalable cloud-native systems.
Description
Build production GenAI and agentic systems.
Stay hands-on with AI agents, multi-agent architectures and modern cloud-native engineering.
This highly technical role suits someone who enjoys writing code, solving complex engineering problems and experimenting with emerging AI development patterns.
What you’ll be responsible for...
Designing and building full-stack cloud-native applications using modern languagesUsing GenAI and AI coding assistants throughout the software development lifecycle (SDLC)Designing, building and orchestrating AI agentsDesigning multi-agent architectures and enterprise integrationsLeading technical architecture from prototype through productionWorking with emerging AI interoperability standards and protocols, including MCPBuilding autonomous and semi-autonomous AI workflows using leading cloud-based services and foundation-model platformsBuilding scalable APIs, microservices and distributed systems
What you’ll bring to the role...
Your strong software engineering experience in one or more modern languages such as Python, TypeScript, Go, Java, C#, Kotlin or Rust.Your experience building GenAI and large language model (LLM)-powered applicationsYour hands-on experience designing and building AI agents and agentic systemsYour experience applying modern AI-assisted software development practicesYour experience building autonomous and semi-autonomous AI workflowsYour understanding of AI interoperability standards, such as MCP, and their practical application.Your experience designing and building multi-agent systemsYour deep technical knowledge in designing cloud architectures (e.g.
AWS, Azure, GCP)
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About working with Valrose – We listen.
We understand.
We solve.
Valrose consultants work with you to understand where your character, aspirations and skills will be most valued.
We will understand your priorities, whether financial, career progression, workplace culture or technology-related.
We will discuss the opportunity thoroughly, explain how it aligns with your career goals, and guide you through the recruitment process with practical advice and support from your initial application through to offer.
We are trusted advisors to our clients, acting as an extension of their business.
We genuinely care about our candidates and enjoy connecting people with opportunities in which they can do meaningful work.
Please apply or contact the Valrose team for a confidential discussion about the role, the technical environment and the selection process.
Our Values
Humanity – Success – Integrity – Accountability – Curiosity
Diversity – Welcome it.
Entrust it.
Celebrate it.
Within our business, we have created an environment where anyone from any background can bring their authentic self to work, celebrating our differences while working towards a common purpose.
We believe this is not only the ethical thing to do; it is the intelligent thing to do.
Diversity drives innovation.
The Valrose team is committed to building inclusive cultures and promoting equality for all.
2024 – Sourcr Award for Best Agency for ICT, WA2023 – SEEK SARA Award Finalist for Outstanding Agency2023 – RCSA Award Finalist for Outstanding Agency2022 – Sourcr Award for Best Agency for Technology, WA2021 – SEEK SARA Award Finalist for Excellence in Candidate Engagement
Valrose is a Circle Back Initiative Recruitment Agency — we commit to responding to every applicant.