Skillfinder International
AI Full-Stack Engineer
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AI Full-Stack Engineer (Contract)
Location: London (5 days per week onsite)
Rate: £415 Inside IR3
About the Role
We are looking for an experienced AI Full-Stack Engineer with a strong Python background to design, build and deploy production-grade Agentic AI solutions. You'll work on cutting-edge AI applications, developing intelligent multi-agent systems, integrating Large Language Models (LLMs), and delivering scalable cloud-native solutions on Google Cloud Platform. This is a hands-on engineering role suited to someone who enjoys solving complex technical challenges and building reliable AI systems for enterprise environments.
Key Responsibilities
- Design and develop production-ready multi-agent AI applications using frameworks such as LangChain, LangGraph, or Google ADT.
- Build secure Python APIs and Back End services to enable AI agent interactions and external integrations.
- Develop and optimise prompts, state management, memory handling, and context orchestration for LLM-powered applications.
- Implement structured outputs using JSON schemas and Pydantic validation.
- Design robust guardrails, fallback mechanisms, and safety controls to improve AI reliability and reduce hallucinations.
- Build observability into AI systems through tracing, monitoring, and evaluation frameworks.
- Deploy cloud-native applications using modern DevOps practices and CI/CD pipelines.
- Collaborate with cross-functional teams to deliver scalable, secure, and maintainable AI solutions.
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Required Skills & Experience
- Strong commercial experience with Python and Back End software engineering.
- Experience developing APIs, microservices, and distributed systems.
- Hands-on experience with Large Language Models (OpenAI, Gemini, Claude, or similar).
- Experience using AI orchestration frameworks such as LangChain, LangGraph, or equivalent.
- Strong understanding of Google Cloud Platform (GCP) services and architecture.
- Google Professional Cloud Architect certification (essential).
- Experience with containerisation, cloud deployments, and CI/CD pipelines.
- Strong testing practices, including unit and integration testing.
- Excellent understanding of scalable system design, asynchronous processing, and workflow orchestration.
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Desirable Skills
- Experience building advanced Agentic AI platforms or autonomous AI workflows.
- PhD or advanced academic background in Machine Learning, Artificial Intelligence, or a related discipline.
- Experience training or fine-tuning foundation models.
- Exposure to GPU infrastructure, distributed training, or high-performance computing.
- Strong mathematical or algorithm design background.
What's on Offer
- Opportunity to work on innovative enterprise AI initiatives.
- Exposure to modern Agentic AI technologies and cloud-native architectures.
- Collaborative engineering environment focused on building production-quality AI systems.
- Competitive contract opportunity with immediate impact on high-profile projects.
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