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.
• Improve system performance, troubleshoot issues and ensure reliability under real‑world workloads.

Required profile

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

Required skills

• Python
• Playwright
• Docker
• AWS or GCP
• pgvector, Pinecone, Chroma
• LangChain