
Artificial Intelligence Software Engineer
4 days ago
Our team is focused on delivering cutting-edge AI solutions that enable intelligent features across our platforms. We strive to empower teams to seamlessly integrate AI into their products, providing the infrastructure, tools, and systems they need to innovate quickly and responsibly.
We are seeking a talented Senior Engineer to join our Engineering Practices team, where you will play an integral role in building the systems that enable self-service AI platforms. These platforms support critical capabilities such as LLM enrichment pipelines, AI gateway management, LLM serving, fine-tuning pipelines, and observability for AI workloads.
This is a high-impact role ideal for Senior to Staff-level engineers with a deep background in designing, leading, and delivering complex distributed systems. You'll need strong software engineering and coding skills, with bonus points for expertise in DevOps practices, infrastructure-as-code (particularly with Terraform), Kubernetes, and containerised applications.
Responsibilities- Design, build, test, deploy, and maintain scalable and reliable software aligned with our technology strategy.
- Champion engineering excellence, reliability, and performance across the AI platform.
- Partner with the staff engineer to design and implement robust, consistent systems.
- Troubleshoot and resolve production issues, including participation in on-call and operational support.
- Support onboarding, mentor team members, and foster a collaborative and inclusive team environment.
- Proven years of proficiency in backend development with strong experience in Java and Python
- Deep understanding of AWS and modern cloud infrastructure
- Skilled in writing and maintaining comprehensive unit and integration tests
- Experienced in implementing observability and monitoring across distributed systems
- Strong background in DevOps practices and infrastructure as code using Terraform
- Exposure to full-stack development, including front-end technologies.
- Familiarity with ML tooling (e.g., KServe, Ray, vLLM, MLflow).
- Experience running and managing production applications on Kubernetes.
- Understanding of security best practices for application and infrastructure development
- Annual Performance Bonus Plan
- Flexible working arrangements, including a mix of office and work from home days
- Paid and unpaid leave benefits, including Personal Flexi Days and Volunteer Days
- Support for parents, including 14 weeks paid primary carers leave and 2 weeks paid leave for partners
- Committed to operating sustainably, certified carbon neutral for its business operations
We are a purpose driven business that works with heart. We know teams with diverse ideas, experiences and perspectives are more creative and are critical to ensuring effective delivery and innovating to enable our future success. As such, we welcome applications from people with diverse backgrounds and life experiences.
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