AI Engineer (LLM & Agentic AI)

About the role

We are seeking an Applied AI Engineer to design and deploy production‑ready AI systems at Aiden Risk. The role focuses on turning large language model capabilities into reliable, scalable applications such as intelligent agents, retrieval‑augmented generation pipelines, and browser automation.

Key responsibilities

• Build and optimise Retrieval‑Augmented Generation (RAG) pipelines and vector search systems for real‑world document datasets.
• Develop AI agents with tool calling, external API integrations and automated workflows.
• Implement browser automation and web data extraction using Playwright.
• Integrate LLMs from OpenAI, Anthropic, Gemini and open‑source providers into production applications.
• Design evaluation frameworks to measure AI accuracy, reliability, latency and cost.
• Build, test and deploy Python‑based AI services using Docker and cloud platforms.

Required profile

• 1–2 years of software engineering experience with strong Python programming skills.
• Hands‑on experience building applications with LLMs or generative AI models.
• Practical understanding of RAG, embeddings, vector search and vector databases.
• Basic knowledge of APIs, Docker and cloud platforms such as AWS or GCP.

Required skills

• Python
• RAG, embeddings, vector search
• pgvector, Pinecone, Chroma
• LangChain or similar AI frameworks
• Playwright (browser automation)
• Docker
• AWS or GCP
• OpenAI, Anthropic, Gemini APIs