What would your job be like at Scilife
As an AI Internal Tool Engineer at Scilife, you will be the person who turns our AI-first vision into everyday reality. Your job is to find opportunities across the company where AI can automate work, eliminate manual effort, or make people more effective—and then build the tools that make it happen.
This is not a traditional engineering role. You won't be working on the product codebase or shipping features to customers. Instead, you will focus entirely on internal automation: building AI-powered workflows, integrations, and tools that help Scilife teams work faster and smarter. Think of it as being the in-house engineer for how we work, not what we sell.
You will work closely with the CTO and be an active member of the AI Committee, helping champion AI adoption across all departments. The scope spans everything from Slack bots and document automation to data pipelines and agentic workflows. If a task is repetitive, manual, or slow—it's your problem to solve.
This role is well suited to an engineer who loves building things quickly, iterating based on real feedback, and exploring what's possible with the latest AI capabilities. We value speed, curiosity, and practical impact over perfect architecture..
Key Responsibilities
Identify Automation Opportunities
- Work with teams across Scilife (Engineering, Product, Customer Success, Sales,
Marketing, HR, Finance) to understand their workflows and pain points.
- Proactively identify where AI and automation can eliminate manual work, reduce errors,
or speed up processes.
- Prioritize opportunities based on impact and feasibility, and maintain a pipeline of
automation ideas.
Build Internal AI Tools
- Design and build AI-powered tools, integrations, and workflows for internal use: Slack
bots, browser extensions, document processors, data analysis pipelines, and more.
- Integrate LLM APIs (Claude, OpenAI, AWS Bedrock) into practical solutions that
colleagues actually use day to day.
- Iterate quickly based on user feedback—ship early, improve often.
Champion AI Adoption
- Be an active member of the AI Committee, contributing ideas and driving initiatives.
- Help colleagues across the company discover and adopt AI tools effectively.
- Document what you build, share learnings, and create examples that inspire others to
experiment.
Experiment and Stay Current
- Keep up with the rapidly evolving AI landscape: new models, tools, frameworks, and techniques.
- Evaluate new AI capabilities and assess their potential for internal use at Scilife.
- Run small experiments to test ideas before committing to full builds.
What you will need
Must have:
- Technical fluency: you understand how software systems work (APIs, data formats, authentication, scripting) and can build functional tools with the help of AI coding assistants. You don't need to be an expert in any specific language, but you need enough technical depth to know when something is right, wrong, or fragile.
- Hands-on experience building with LLM APIs (OpenAI, Anthropic, AWS Bedrock, or similar) or AI-powered tools and workflows.
- A portfolio or track record of building AI-powered tools, automations, or integrations personal projects count.
- Bias toward action: you ship fast, learn from what breaks, and improve on the go.
- Strong communication skills—you will need to understand workflows by talking to people, not just coding in isolation.
- Curiosity and genuine enthusiasm for AI and automation. This field moves fast; you need to enjoy keeping up.
- Ability to work autonomously with minimal direction while keeping stakeholders informed.
Nice to Have:
- Experience building Slack integrations, browser extensions, or workflow automation tools.
- Familiarity with RAG architectures, embeddings, and vector databases.
- Experience with agent frameworks or agentic AI patterns.
- Exposure to regulated industries (life sciences, medical devices, pharma).
- Familiarity with our tech stack: PHP, Go, AWS, Docker.
- Experience with no-code/low-code platforms for rapid prototyping.
Why Scilife?
Scilife helps life science companies digitize, automate, and scale their quality and compliance processes. Our QMS platform supports organizations worldwide in staying audit-ready while enabling innovation
We are in the early stages of an ambitious AI-first transformation—not just in our product, but in how we work as a company. As our AI Internal Tool Engineer, you will be at the center of that shift, with direct access to the CTO and the freedom to shape how the entire organization uses AI. This is a rare opportunity to define a role, build something from scratch, and see your work change how 85+ people do their jobs every day.
What We Offer
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Fully remote work within Europe with flexible hours.
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Competitive compensation.
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Collaborative, international team culture.
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Continuous learning and professional development.
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Direct access to company leadership and the freedom to shape a brand-new role.
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A front-row seat to an AI-first organizational transformation—with the mandate to drive it.
Our Core Values
- Healthy Inside-Out – Sustainable pace and balance matter.
- Thinking outside of the Box – Challenge assumptions, improve what exists.
- Driven by Evidence – Data and insight guide decisions.
- All Hearts and Ears – We listen, support, and grow together.
Application Instructions:
If you're ready to help us build a better platform from the ground up, we want to hear from you! We encourage candidates from underrepresented backgrounds to apply, even if you don’t meet every single qualification.
