Why do we love building Make (and why you might too)?

We are developers who understand the power of software to solve complex problems. But what if someone isn’t a developer or doesn’t have access to one? Without the right tools, they might end up spending hours on repetitive, manual tasks—copying and pasting data, managing workflows by hand, and wasting valuable time that could be better spent on high-impact work.

Make transforms this reality, enabling anyone to build intelligent automations easily. By integrating advanced AI tools and models, including powerful LLMs, we empower people all over the world to create workflows that adapt to their needs—without writing a single line of code. Make provides a visual platform where creating solutions feels as intuitive as playing a game, turning everyday users into makers and giving them the ability to harness the potential of AI in their workflows.

📍 We're looking for someone located in the Czech Republic.

About the Team

Our team is dedicated to integration of applied AI into Make, focusing on developing innovative solutions involving Large Language Model (LLM), AI Agents and other usage of AI and pattern recognition stemming from the findings from our data analyses. We are passionate about pushing the boundaries of what’s possible with AI in NoCode and work collaboratively to create intuitive and powerful user experiences that leverage the latest in AI technology.

We are focused on delivering a multitude of AI related features, move fast and constantly find new areas to tackle. Each member of our team has a strong sense of ownership and initiative within a particular feature(s), while staying in tight sync with the rest. Developer feedback truly gets recognized within the team and it’s not uncommon for a developer’s suggestion to become a feature, or even a separate service/project within a single sprint.

The Role

As a software engineer, you will be responsible for designing and developing product features and customer solutions, along with the underlying infrastructure, that are based on LLMs. You will interact closely with product managers and software engineers within the product and engineering organization and with AI/ML experts in the Celonis AI Group to analyze, build and improve scalable and high quality AI Products and features for our customers.

You will also be responsible for designing and implementing new foundational technical components that will power the next generation of automation and elevate the impact Make has on our customers. These components may span the areas of natural language processing, large language models, data mining, recommendation, knowledge base, business intelligence, and other AI technologies.

What you’ll do

Deeply understand the business needs of Make customers, formulate the business needs into specific AI related technical implementations.
Determine and design which service decision is suited for the problem within our teams scope (around AI/ML/LLMs)
Develop scalable and high quality AI/ML solutions
Finetune models or consult on RAG and ETL Pipelines
Implement scalable and robust data collection mechanisms
Review and learn from customer feedback
Design and implement principled evaluation mechanisms
Design and build robust and low latency infrastructure to serve the AI/ML models and meet the demands of Make customers
Design and develop intelligent techniques to understand, represent, and integrate enterprise operational data (e.g., processes)
Design and build APIs and infrastructure to serve such data at scale and with low latency
Design and implement intelligent ways to ensure freshness and accuracy of such data across thousands of enterprise customers.
Have a strong say in the technical vision and strategy of your team
Write and review RFCs and technical documentation.
Review and give feedback on the work of others.
Grow and help others grow professionally.
Have fun at work :)

Our Tech stack

⚙️ Back-end: Node.js, TS, PostgreSQL LangChain, Redis, Elasticsearch, Python
🖥 Front-end: Angular, JS/TS, Redux, Web Components, Canvas
☁️ Infra: Amazon AWS, Docker, Kubernetes
🚚 CI/CD: GitHub, CircleCI, Argo Workflows
🔎 Monitoring: DataDog, TrackJS

What we expect from you

Bachelor’s degree, Master’s degree, or equivalent practical experience (in Computer Science or related fields) with 3-5+ years of experience
Advanced experience in TypeScript
Passionate about developing scalable and efficient AI/ML solutions
Strong communication and collaboration skills
Excellent command of English – verbal & written (we’re an international team)

Extra Skills That Set You Apart:

Experience with LangChain and Agentic development
Worked with LLM-APIs and RAG

What we offer

📈 RSUs grant in a rapidly growing company raising its value every day
💸 Annual bonus
🌎 Multinational team with 42 nationalities creating the future of automation
🎓 Learning & Development plan (online language, professional courses, conference tickets and other trainings) & 2 learning days per year
🍎 Notebook/Macbook and 34’’ curved monitor
🏝 25 days of vacation, 4 sick days, Company day off 31.12.
🫶 10 care days to care for your loved ones
👨‍👩‍👧‍👦 Extra parental vacation (3-6 months)
👶 RSUs grant for a newborn child
☂️ Life insurance
🏋️ Benefit Plus Cafeteria (incl. MultiSport Card)
💰 Remote working allowance
🍍 Snack bar, coffee, tea, fruit and vegetable, and sweets all day - every day - available for everyone
🥗 Monday breakfast, Wednesday lunch, and Friday break, with company-provided food and drinks, with music and lively discussion
🏡 Flexible working hours + home office
🐕 Company therapy pets in Prague's office (dog-friendly office)
🖨 Company 3D printer
🥳 Team buildings, parties, and company events multiple times a year

What we stand for:

🤝 We roll together - We embrace different ideas to grow together and create powerful solutions.

🚀 Customer impact first - We empower our customers to succeed, aiming for sustainable impact.

⚽ Game on! - We're explorers at heart: play is our fuel and creativity has no limits.

For more, feel free to check out our Life at Make Instagram, Meet-up page, or YouTube to get a sense of the vibe.

Programming tests

Junior

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