Senior Fullstack Engineer
Indexed description
- Work on AI applications for a leading brand
- Work with LLMs, agentic AI, RAG at enterprise scale
- Senior role with real influence on standards, mentoring and delivery
- Permanent role, 3 days in the office
We're supporting a successful Australian company in the search for a Senior Software Engineer to work on AI applications. They are investing heavily in enterprise-scale AI and you will join a team leading the charge.
You'll be designing and building enterprise-scale AI solutions that make a real difference both internally and externally, working across generative and agentic AI and helping set the technical direction and standards for a growing team.
Responsibilities will include:
- Designing, building and owning scalable AI solutions from PoC through to production
- Collaborating with product managers, software engineers and data scientists to translate business requirements into production-ready AI solutions
- Contributing to system architecture and technical design decisions for AI-enabled products
- Developing, evaluating and optimising LLM applications using techniques such as RAG, prompt engineering and fine-tuning
- Building secure, reliable and high-performing APIs and microservices that support AI capabilities
- Staying ahead of emerging AI protocols, trends and standards and bringing them into enterpriseuse
- Reviewing code, raising the bar on engineering quality and mentoring engineers around you
Skills we are looking for:
- Fullstack software engineering background with a track record of shipping production-grade systems (open on backend language - .NET, Java, Kotlin etc.)
- Strong frontend experience with React, Typescript
- Good understanding of RESTful API design, authentication and secure coding practices
- Good engineering practices - CI/CD, DevOps, Agile, testing etc.
- Exposure to AI/ML frameworks or platforms is advantageous
- Strong problem-solving skills with the ability to translate complex business requirements into scalable technical solutions
- Excellent communication skills and the ability to collaborate effectively across engineering, product and business teams
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