Interact with Project Managers and Data Engineers to reach the best possible technical design
Develop and implement technical workflow solutions including integrations between systems, AI-embedded workflows, and custom interface builds
Build the middleware and API connections required to ensure various SaaS systems and internal data sources communicate and integrate seamlessly
Produce clear technical documentation and playbooks to transition successful pilots into stable, Business-as-Usual (BAU) operations
Prototype and build lightweight frontends using TailwindCSS, Jinja2, and HTMX to turn high-level operational blueprints into functional digital tools.
Collaborate closely with internal teams to shadow manual processes, diagnose operational bottlenecks, and translate non-technical feedback into concrete automation requirements.
Maintain and optimize deployment pipelines using Docker and CI/CD tools to ensure rapid, reliable, and secure software delivery.
Monitor, iterate, and troubleshoot newly launched pilot tools, utilizing user feedback and performance data to make swift engineering adjustments.
Participate in code reviews and security checks, ensuring that any tool built adheres to essential data protection and identity access controls.
Involvement in and contribution towards pilot launches of 3–5 high-impact, AI-augmented workflows.
Clear documentation of design choices, implementations and user-guides for any released tooling / libraries

Technical builder with a foundation in Python development for backends and command line tools
Experience in designing internal APIs and consuming APIs from 3rd party platforms
Understand databases and ORMs to be able to create clean schemas, and query data
Familiarity with Git for source control, within a collaborative environment
Requirement gathering from non-technical stakeholders and translating into technical requirements
Possess a practical understanding of automation and Large Language Models (LLMs) and has experience in prompt engineering and agent-based architectures, but may also be skeptical and guarded with respect to AI and how it should be applied.
Hands-on, execution-oriented engineer who can adapt quickly based on pilot performance data and user feedback.
Understands the importance of technical security controls, such as IAM and encryption, especially when handling sensitive data or PII

Junior Software Engineer

Key skills