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# AI Engineer

- **Company:** vagos-cortex
- **Location:** London, UK
- **Salary:** £123,500.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Engineering, Computer Programming, Data Integration, Monitoring of Systems, Identity and Access Management, Data Logging, Google Cloud, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Core Api, Amazon Virtual Private Cloud (VPC), Kubernetes, Production Code, Machine Learning Operations, Virtual Agents
- **Published:** September 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a6a0eb89724513da

## About the Role

* Google Cloud AI Ecosystem: Advanced hands-on experience with Vertex AI, Gemini Enterprise, Model Armor, and Google Cloud platform security architectures (IAM, VPC-SC).
 * Agentic Engineering & LLMs: Proven experience working with multi-agent frameworks, prompt engineering, fine-tuning, model selection, and deterministic application workflows.
 * Full-Stack Software Engineering: Strong programming foundations with the ability to independently write, test, and maintain production code for UI, APIs, and cloud architecture.
 * Platform & MLOps: Experience managing the release lifecycle of AI applications, tracking compute costs, and implementing automated testing frameworks.

Personal Requirements

 * Proactive Ownership: A self-driven approach to technical ownership, with a focus on independently managing features from initial concept through to live production deployment.
 * Pragmatic Problem-Solving: Strong engineering mindset that balances advanced AI research with practical, dependable, and cost-effective product solutions.
 * Documentation & Knowledge Transfer: Exceptional communication skills with a focus on writing clear developer documentation and executing structured knowledge handoffs to technical teammates.

## Description

* Solution Architecture & Agentic Development: Build and optimize production-grade applications using advanced Gemini and Claude patterns, ensuring scalable code design, thorough technical documentation, and measurable business outcomes.
 * ADK Multi-Agent Engineering: Core development of autonomous multi-agent systems, managing complex agent orchestration, deterministic state workflows, human-in-the-loop approval gates, and resumable state architectures.
 * AI Evaluation & Security (EvalOps): Drive system trust and reliability by establishing rigorous model-quality testing, adversarial prompt testing, automated prompt inspection, and responsible AI guardrails.
 * Google Cloud Production Security: Implement enterprise-grade security controls around AI workloads using Vertex AI, Gemini Enterprise, Model Armor, IAM policies, and VPC Service Controls (VPC-SC).
 * Full-Stack Integration: Independently develop end-to-end features, delivering secure backend APIs, application user interfaces, data integrations, and the supporting infrastructure required to run AI models.
 * Production Platform Engineering: Package and release AI capabilities into production using standard CI/CD pipelines, release controls, quick rollback capabilities, centralized logging, system monitoring, and cost-efficiency optimization.