Cpl
AI Full-Stack Engineer (Agentic AI)
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AI Full-Stack Engineer (Agentic AI)
Location: London (5 Days Onsite)
Contract: 14–16 Weeks
Rate: £400 per day
The Opportunity
We're looking for an experienced AI Full-Stack Engineer to join a high-profile programme, building production-grade Agentic AI solutions for a global financial services organisation. This role is ideal for a strong Python engineer with full-stack development experience who is passionate about applying the latest AI technologies to solve complex business problems. You'll design, build and deploy intelligent multi-agent systems, integrating Large Language Models (LLMs) into secure, scalable production environments.
Working as part of a collaborative engineering team, you'll help deliver reliable AI applications with a strong focus on performance, security, testing and observability.
Key Responsibilities
- Design, develop and deploy production-grade Agentic AI applications.
- Build multi-agent systems and stateful workflows using frameworks such as Google ADK, LangChain and LangGraph.
- Develop secure Python APIs and integrate external tools and services into AI workflows.
- Engineer effective prompts, manage conversational state and optimise context handling for LLM applications.
- Design structured outputs using JSON schemas and Pydantic models to ensure reliable responses.
- Implement guardrails, fallback mechanisms and safety controls to improve AI reliability and reduce hallucinations.
- Develop observability and monitoring solutions, including tracing, logging and evaluation frameworks for AI systems.
- Build scalable backend services and contribute to full-stack application development.
- Work closely with architects, product owners and engineering teams to deliver high-quality solutions.
- Write clean, well-tested code and contribute to CI/CD pipelines and automated deployments.
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Skills & Experience
We're looking for candidates with:
- Strong commercial experience developing backend applications using Python.
- Experience building APIs, microservices and distributed systems.
- Hands-on experience with Large Language Models, including OpenAI, Gemini or Claude APIs.
- Experience using AI orchestration frameworks such as LangChain, LangGraph or similar.
- Strong understanding of Google Cloud Platform (GCP) services and architecture.
- Experience building and deploying cloud-native applications.
- Knowledge of containers, Docker, Kubernetes and CI/CD pipelines.
- Experience writing unit, integration and automated tests.
- Excellent problem-solving skills and a systems-thinking approach to software design.
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Essential Requirements
- Google Professional Cloud Architect Certification (essential).
- Strong Python engineering background.
- Experience developing production-grade AI or LLM-enabled applications.
- Ability to work onsite in London five days per week.
Desirable Experience
- Experience with Agentic AI architectures.
- Knowledge of asynchronous workflows and event-driven systems.
- Exposure to AI evaluation frameworks and prompt testing.
- Financial services experience would be advantageous.
If you are interested please apply or send your cv to luke.sandilands@cpl.com
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