AI Engineer

About the role

We are seeking an AI Engineer to design, build, and scale the systems behind our AI‑driven product. You will work at the intersection of large language models, multi‑agent systems, and production software to deliver reliable, user‑facing experiences.

Key responsibilities

• Design and implement LLM‑powered pipelines, including prompt engineering, context management, and response synthesis.
• Build and optimise multi‑agent orchestration systems where AI components interact, reason, and produce coherent outputs.
• Develop and maintain integrations with foundation model APIs (Anthropic, OpenAI, etc.), managing latency, cost, and reliability at scale.
• Implement retrieval‑augmented generation (RAG) and memory systems for persistent, context‑aware behaviour.
• Partner with Evaluation/QA engineers to create frameworks measuring output quality, coherence, and factual grounding.
• Ship production features across the stack, from the model layer to the application, and monitor performance, token efficiency, and guardrails.

Required profile

• 3+ years of software engineering experience with hands‑on LLM‑powered applications.
• Strong proficiency in Python and/or TypeScript/JavaScript.
• Experience with LLM APIs, prompt engineering, and agentic frameworks such as LangChain or LlamaIndex.
• Familiarity with vector databases and RAG architectures (e.g., Pinecone, Weaviate, pgvector).
• Understanding of multi‑agent systems, tool use, and function calling.
• Comfort working in a fast‑moving, ambiguous, early‑stage environment.

Required skills

• Python
• TypeScript/JavaScript
• LLM APIs (Anthropic, OpenAI)
• LangChain or LlamaIndex
• Vector databases (Pinecone, Weaviate, pgvector)
• API design and async processing
• Scalable backend architecture
• WebSockets or Server‑Sent Events
• Cloud platforms (AWS, GCP, Azure)
• CI/CD pipelines