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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Deployment Engineer - **Company:** Neweasy - **Location:** London, UK - **Experience:** Experienced - **Salary:** £100,000.0 - £130,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Business Systems, Software as a Service, Cloud Computing, Encodings, Information Engineering, Data Infrastructure, Data Integrity, Data Transformation, Middleware, Python (Programming Language), OAuth, Operational Databases, Productivity Software, Standard Sql, Software Deployment, SQL Databases, Data Streaming, Systems Integration, Workflow Management Systems, Data Logging, Google Cloud, Microsoft Power Automate, Event Driven Architecture, Containerization, Uipath, Kubernetes, Apache Flink, Deployment Automation, Apache Kafka, Virtual Agents, Restful APIs, Data Inconsistencies, Webhooks, Data Pipelines, Docker - **Published:** July 24, 2026 - **Apply:** https://www.reed.co.uk/jobs/ai-deployment-engineer/57158397 ## About the Role * Python & SQL (production-grade pipeline development) * REST APIs, webhooks, OAuth, event-driven architecture * Orchestration tools: Airflow, Prefect, or Dagster * Cloud platforms: AWS, GCP, or Azure * Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills * Vector databases and embedding pipelines * Real-time streaming (Kafka, Flink) * RPA tooling (UiPath, Power Automate) dbt for data transformation * Claude Code, Claude Cowork, or Claude Skills * Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). Experience * 3-5 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure. * Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch. * Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. * Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). * Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). * Experience connecting disparate business systems - SaaS platforms, internal databases, and third-party APIs - and making them work reliably. * Strong debugging instincts and a high bar for reliability and data integrity. * Comfortable with Microsoft 365 and Microsoft Copilot. Familiarity with AI productivity tools including Claude Code, Claude Cowork, and Claude Skills is a plus. Skills * Claude * AI Agent Development * Banking & Finance * Cloud Platforms (AWS, Azure, GCP) * Docker & Kubernetes * Fintech (Industry) * Python * REST APIs * SQL ## Description You will be the deep technical engine behind their internal AI deployment team. Where the AI Deployment Strategist scopes and builds agents, you own the infrastructure underneath - data pipelines, system integrations, and everything that ensures deployed AI solutions work reliably at scale. You will take prototypes to production, ensure all business systems communicate correctly, and build the technical backbone that our AI tooling depends on. Job Responsibilities * Own the data infrastructure underpinning AI deployments - pipelines, storage, and data serving * Integrate AI solutions into the existing business ecosystem: CRMs, ERPs, SaaS tools, and internal systems * Build and maintain APIs, webhooks, and middleware that allow AI agents to interact with business systems * Take Strategist-built prototypes to production-grade - hardening, scaling, and ensuring reliability * Set up monitoring, logging, and alerting across deployed pipelines and agent infrastructure * Manage data models, schemas, and storage supporting current and future AI deployments * Troubleshoot integration failures, data inconsistencies, and production issues ## Related Videos - [Prompt Engineering Your Career: AI Agents for Tech Interview Prep](https://www.wearedevelopers.com/videos/100227-prompt-engineering-your-career-ai-agents-for-tech-interview-prep) - [How to achieve web automation with UiPath](https://www.wearedevelopers.com/videos/310-how-to-achieve-web-automation-with-uipath) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact](https://www.wearedevelopers.com/videos/1541-azure-ai-foundry-for-developers-open-tools-scalable-agents-real-impact) - [RPA crash course for .Net developers – intro into the world of RPA from the perspective of a .Net developer](https://www.wearedevelopers.com/videos/271-rpa-crash-course-for-net-developers-intro-into-the-world-of-rpa-from-the-perspective-of-a-net-developer) ## Related Articles - [9 Claude Code Skills to Speed Up Your Workflow](https://www.wearedevelopers.com/magazine/740-9-claude-code-skills-to-speed-up-your-workflow) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)