Artificial Intelligence Engineer

Artificial Intelligence Engineer

​One of our banking clients are currently recruiting for an AI Engineer & AI Architect on a contract basis in London, UK. This is a hybrid position.

AI Engineer

• Hands-on experience with GenAI, Gemini or Open source LLMs , Train , finetune and Onboard new LLMs
• Experience in building GenAI applications using Python
• Hands-on Experience with API Development and Microservices architecture and End to End integrations
• Knowledge of RAG (Retrieval-Augmented Generation ) and ADK, MCP
• Solid understanding of LLMs, prompt engineering, and graph-based workflows.
• Hands-on Experience with API Development and Microservices architecture
• Experience in CI/CD pipelines, and containerization (Docker/Kubernetes)., Harness and Git actions.
• Practical experience implementing LLM and GenAI solutions, including prompt engineering, model fine‑tuning, RAG pipelines, embeddings, and vector databases.

AI Architect

• Design agentic AI architectures using multi‑agent orchestration patterns (planner‑executor, supervisor‑worker, tool‑using agents).
• Define reference architectures for enterprise agent platforms integrating LLMs with systems of record (core banking, CRM, risk, payments).
• Design audit‑ready agent interactions, tool usage logs, and decision provenance.
• Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns).
• Hands‑on expertise with agentic frameworks (orchestrators).
• Experience with LLMs, prompt engineering, tool/function calling, memory management.
• API‑first integration, event‑driven architectures, and data pipelines.
• Exposure to AI quality metrics: task success rate, groundedness, containment, FCR.
• Experience on Google Cloud Platform (preferred) or equivalent hyperscale.
• Deep understanding of LLMs, generative AI, RAG patterns, vector databases, embeddings, and prompt/guardrail engineering.

If either of these positions are of interest to you, apply now!