AI Solutions Engineer

Multiverse Westminster, United Kingdom
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  • Proven Senior-level experience: 3–5 years in software engineering, with strong understanding of Applied AI fundamentals and experience working in cross-functional product teams
  • Expertise in:
  • System architecture: Proven ability to design, implement, and maintain complex RAG pipelines and solution architectures, ensuring low latency and high relevance in information retrieval
  • AI Orchestration: Proven experience in developing embeddings, MCPs, and agentic workflows, enabling robust, secure and scalable AI-driven systems
  • Required engineering skills: Proficient in Python and TypeScript, with experience building APIs, microservices, and cloud-native applications
  • AI-enabled productivity: Comfortable leveraging AI-assisted development tools to enhance your own and the squad's output
  • Growth mindset: You're curious, open to feedback, and excited to share what you learn while contributing to an inclusive, high-performing culture.