AI Automation / Application Engineer in City of London, London
Posted by Randstad Technologies Recruitment
£500 – £600 a day
City of London · Contract · Remote working
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.
Key Responsibilities
Here is an overview of the core responsibilities:
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.
Must-Haves
Candidates must meet the following minimum criteria:
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.
Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Application opens at the source listing. Free for jobseekers.