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# ai automation / application engineer.

- **Company:** Randstad UK
- **Location:** London, United Kingdom
- **Experience:** Experienced
- **Salary:** £130,000 - £156,000
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Automation of Tests, Business Systems, Spreadsheets, Cloud Database, Extract Transform Load (ETL), Github, R (Programming Language), JSON, Python (Programming Language), Standard Sql, SQL Databases, Data Streaming, Systems Integration, AI Infrastructure, Data Processing, Scripting, Large Language Models, Snowflake, Multi-Agent Systems, Prompt Engineering, Generative AI, Agentic-AI, Git, Pandas, Build Management, Restful APIs, Software Version Control, Data Pipelines, Human in the Loop, GXP, Docker
- **Published:** November 12, 2026
- **Apply:** https://www.randstad.co.uk/jobs/ai-automation-application-engineer_city-of-london_47731319/

## About the Role

* Experience: 3+ years building data applications, process automations, or internal business tooling.
 * Python: Strong scripting, data wrangling (pandas, requests), and automated testing skills.
 * R & Shiny: Demonstrated ability to build and deploy interactive R Shiny applications.
 * Integration & Data: Proficient in SQL and connecting services via RESTful APIs.
 * Generative AI: Practical experience integrating LLM APIs, prompt engineering, and structured JSON outputs.
 * Delivery Mindset: Disciplined version control (Git) and ease working iteratively with non-technical end users.

Preferred Qualifications

The following qualifications are advantageous:

 * Experience with cloud data warehouses (Snowflake) and containerization/cloud deployment (Docker, AWS).
 * Exposure to agent orchestration frameworks (e.g., LangGraph) or custom tool connectors.
 * Familiarity with pharmaceutical R&D, clinical development, or GxP-regulated workflows.
 * An active GitHub profile or portfolio showcasing live data apps and automations.

## Description

As an AI Automation / Application Engineer, you are a hands-on builder reporting to the Digital, Data & AI Infrastructure Lead. You turn operational business challenges into functional, high-impact tools-delivering rapid prototypes, automated data flows, and AI-enabled dashboards that streamline everyday workflows across the organization., * AI Agents & Skills: Build practical AI assistants to handle repetitive tasks, automated document checks, and self-assembling reports.

 * Agentified Dashboards: Develop and deploy R Shiny (or Shiny for Python) applications embedded with natural-language AI co-pilots.
 * Process Automation: Streamline manual operational processes across spreadsheets, enterprise tools, and business systems.
 * Human-in-the-Loop Workflows: Implement supervised automation patterns requiring human review and approval gates.
 * Data Pipelines & Scheduled Jobs: Create reliable ETL jobs pulling, cleaning, and reconciling data across systems via REST APIs and SQL.
 * User Adoption & Maintenance: Test prototypes directly with non-technical users, gather feedback, iterate rapidly, and maintain production tools as underlying systems evolve.