Agentic AI Engineer for Autonomous Banking Prototyping

Cloud People; Greater London; Hybrid; GBP 110,000 - 190,000; Full time

Job summary

Cloud People is building a production-grade agentic AI pod from London with autonomy and strong governance. The role focuses on turning LLM concepts into reliable services that can integrate into enterprise banking environments, with minimal runtime disruption and robust failure handling.

You will design, build and operate production AI systems, owning patterns for agents, memory, retrieval and observability while ensuring cost-effective performance across Azure OpenAI, Anthropic and open models.

Qualifications

• 4+ years in software, machine learning or production AI engineering.
• 2+ years with LLMs, prompt/context engineering and production monitoring.
• Hands-on experience in agent architecture and orchestration.
• Experience with LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen or CrewAI.
• Strong Python engineering including async, type hints, API design and tests.

Responsibilities

• Design, build and operate production agentic AI systems that reason, use tools, maintain state, retrieve knowledge and escalate safely to humans.
• Own agent architecture, orchestration and decision loops, including multi agent patterns.
• Select and integrate LLMs across Azure OpenAI, Anthropic and open models while balancing latency and cost.
• Engineer reliable tool use with function calling, structured outputs and audit trails.
• Deploy agents as reliable services using CI/CD and proper environment separation.

Skills

Python

LLMs

Async programming

Distributed systems

Observability

Security & governance

Tools

LangGraph

LangChain

LlamaIndex

Semantic Kernel

AutoGen

CrewAI

Job description

Cloud People is building a production-grade agentic AI pod from London with autonomy and strong governance. The role focuses on turning LLM concepts into reliable services that can integrate into enterprise banking environments, with minimal runtime disruption and robust failure handling.

You will design, build and operate production AI systems, owning patterns for agents, memory, retrieval and observability while ensuring cost-effective performance across Azure OpenAI, Anthropic and open models.