How you’ll make an impact
- Partner with product managers, non‑technical business users and engineers to research, validate, and deliver high‑impact Generative AI use cases
- Design and build user‑facing products that leverage AI capabilities for optimising internal workflows with a focus on adoption and user satisfaction
- Build, deploy, measure and iterate on LLM‑based applications (e.g., agents, knowledge extraction, automation solutions)
- Develop end‑to‑end AI solutions on cloud platforms (AWS, GCP, or Azure) taking a build‑it‑yourself attitude to the entire development lifecycle including test suites, deployment pipelines (CI/CD), agent evaluations and observability
- Design systems that continuously optimise performance, reliability, and scalability of AI systems
What we’re looking for
- Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- AI & LLM Expertise: Hands‑on experience with LLMs (e.g., GPT, Gemini, Claude) and applying them to real‑world problems
- Backend Proficiency: Strong backend engineering expertise, including RESTful APIs and micro‑services design
- Technical Stack: Proficiency in Python/JavaScript/TypeScript and familiarity with AI frameworks (e.g., LangChain, Pydantic, AI and Google Agent Development Kit)
- Cloud & Infrastructure: Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and Infrastructure‑as‑Code (Terraform)
- Soft Skills: Proven problem‑solving skills and ability to thrive in fast‑paced environments, with excellent communication and collaboration skills across diverse teams
Preferred qualifications
- Proficiency in Python
- Frontend development experience with JavaScript/TypeScript and frameworks such as React
- Experience developing Generative AI applications, including model fine‑tuning and prototyping
- Awareness of ethical AI practices and emerging standards in AI governance
- Track record of rapid prototyping with measurable ROI
- Contributions to open‑source projects or a strong GitHub portfolio
- High technical curiosity and eagerness to learn new platforms
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