AI Automation Engineer - Remote AI Apps & Pipelines

Harvey Nash Group; Welwyn Garden City; Remote; GBP 60,000 - 90,000; Full time

Job summary

Harvey Nash Group is seeking an AI Automation/Application Engineer to develop AI-powered applications and automation that streamline business processes. The role emphasizes hands-on engineering, data pipelines, and cloud-enabled integrations, with a focus on delivering practical solutions for business teams.

The ideal candidate will have 3–5 years of experience, strong Python and R Shiny skills, solid SQL and API know‑how, and familiarity with Generative AI and GxP‑regulated environments.

Qualifications

• 3–5 years of experience building data applications or internal tools.
• Strong Python skills, including pandas and data processing.
• Solid R programming and Shiny app development.
• Good SQL knowledge and REST API integrations.
• Experience with Generative AI using LLM APIs and prompt engineering.
• Experience with Git/version control and working with non-technical stakeholders.
• Experience in pharmaceutical R&D or a regulated environment (GxP).

Responsibilities

• Build AI agents and automate repetitive business processes.
• Develop AI-powered dashboards and applications using R Shiny.
• Create Python-based automations, data pipelines and system integrations.
• Develop and maintain applications using APIs and cloud technologies.
• Test, deploy and maintain solutions, ensuring quality and documentation.
• Work with business teams to understand requirements and deliver practical solutions.

Skills

Python

R

SQL

LLM APIs

Prompt engineering

Git

Stakeholder comms

GxP/regulatory

Tools

R Shiny

REST APIs

Git/version control

Job description

Harvey Nash Group is seeking an AI Automation/Application Engineer to develop AI-powered applications and automation that streamline business processes. The role emphasizes hands-on engineering, data pipelines, and cloud-enabled integrations, with a focus on delivering practical solutions for business teams.

The ideal candidate will have 3–5 years of experience, strong Python and R Shiny skills, solid SQL and API know‑how, and familiarity with Generative AI and GxP‑regulated environments.