At a Glance
- Tasks: Join our team to build AI-powered tools and automate workflows that make a real difference.
- Company: Lendable, a forward-thinking company focused on internal efficiency through innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Work in a small, dynamic team at the forefront of AI technology.
- Why this job: Make an impact by creating solutions that save time and enhance productivity across teams.
- Qualifications: 4+ years in software engineering with strong skills in Python or TypeScript.
The predicted salary is between 60000 - 80000 € per year.
If you're motivated by solving real problems and seeing your work make a tangible difference, this is for you. We need someone who takes full ownership — not just writing code, but thinking through the problem, designing the solution, shipping it, and making sure it keeps working.
Requirements:
- 4+ years of software engineering experience
- Strong full-stack skills in Python or TypeScript
- Experience shipping containerised software to Kubernetes
- Proven experience building AI tooling used by others in a commercial environment
- Comfortable working with LLMs, embeddings and AI application patterns
- Experience designing and building API integrations
- Self-starter who takes ownership end-to-end — from understanding the problem, through design and implementation, to monitoring and iteration
- Motivated by impact — you want to see your work used and making a difference
Desirable:
- Experience with workflow automation tools (n8n, Zapier, Make or similar)
- Familiarity with vector databases (Pinecone, Weaviate, pgvector)
- Experience with AWS Bedrock or other LLM provider APIs
- Knowledge of MCP (Model Context Protocol)
- Frontend skills with Next.js or React for internal tooling
What the job involves:
We're looking for a hands-on AI Engineer to join our Internal Automation team at Lendable and help us make the whole company more efficient. Our mission is to supercharge internal teams — from Finance and Compliance to Product, QA and beyond — by building AI-powered tools, integrations and automated workflows.
You'll be part of a small team (4 engineers, 1 PM) with a simple goal: remove friction, automate the tedious, and give colleagues back time to focus on high-value work. This is a role where you'll see the direct impact of what you build. You'll ship an integration and watch it save hours of manual work. You'll build a tool and see a team adopt it the same week. You'll own your work from 'what should we build?' through to 'is it still delivering value?'.
You'll also be working at the frontier of AI tooling — building with LLMs, experimenting with new approaches, and figuring out what's possible.
Key Responsibilities:
- Create connectors and integrations that make company data available to AI systems (Google Workspace, Slack, Jira, GitHub, Snowflake, Confluence and more)
- Build and maintain knowledge base pipelines, MCP integrations and API connections that power AI tooling across the business
- Work with security and data governance requirements to ensure integrations are safe and appropriate
- Support internal teams to create their own AI-powered data sources, automated workflows and internal tools using rapid app builder tools
- Build templates, guardrails and building blocks that make it easy for non-engineers to experiment safely
- Contribute to our internal automation platform using tools like AWS Bedrock, n8n and custom-built solutions
- Work closely with the PM and engineering lead to identify the highest-leverage opportunities
- Ship quickly, measure outcomes (time saved, errors reduced, adoption) and iterate based on what you learn
- Stay curious about emerging tools and techniques — and apply them where they'll genuinely move the needle
Senior AI Engineer (Internal Automations) employer: Deepstreamtech
At Lendable, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Senior AI Engineer in our Internal Automation team, you'll have the opportunity to make a tangible impact by developing AI-powered tools that enhance efficiency across the company. We offer a supportive environment that encourages ownership, continuous learning, and the chance to work at the forefront of AI technology, all while enjoying the benefits of a dynamic and agile workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer (Internal Automations)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI tooling or integrations. This gives potential employers a taste of what you can do and how you think through problems.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI engineering. Think about how you would approach real-world problems and be ready to discuss your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Senior AI Engineer (Internal Automations)
Some tips for your application 🫡
Show Your Ownership:We want to see how you take full ownership of your projects. In your application, highlight instances where you've not just written code but also designed solutions and ensured they work seamlessly. This will show us you're the self-starter we're looking for!
Demonstrate Your Impact:Make sure to include examples of how your work has made a tangible difference in previous roles. We love candidates who are motivated by impact, so share stories that showcase how your contributions have saved time or improved processes.
Tailor Your Skills to Our Needs:When applying, align your skills with our requirements. If you’ve got experience with Python, TypeScript, or AI tooling, make it clear! We’re keen on seeing how your background fits into our mission of supercharging internal teams.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter.
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python or TypeScript, as well as containerised software and Kubernetes. Brush up on your full-stack skills and be ready to discuss specific projects where you've built AI tooling or API integrations.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight how you've taken ownership of a project from start to finish. Be ready to explain your thought process in designing solutions and how you ensured they delivered real value.
✨Demonstrate Your Impact
Think about times when your work has made a tangible difference. Whether it’s saving time for a team or improving efficiency, be prepared to share metrics or outcomes that showcase your contributions.
✨Stay Curious and Engaged
Research the latest trends in AI tooling and automation. Show enthusiasm for emerging tools and techniques, and be ready to discuss how you might apply them in the role to drive innovation and efficiency.
