Make is a visual platform for anyone to design, build, and automate anything. Headquartered in Prague since its release in 2016, Make was acquired by Celonis in 2020, and currently operates as an independent business unit under the Celonis umbrella. As we continue to grow, we look forward to hiring the best talent from all over the globe for all our areas and departments.

Make

Senior TypeScript AI Engineer

As a Senior TypeScript AI Engineer, you will design and develop product features and customer solutions based on LLMs.  You will work closely with product managers, software engineers, and AI/ML experts to build and improve AI products. Your responsibilities include understanding customer needs, implementing scalable AI/ML solutions, fine-tuning models, designing and implementing data collection mechanisms, and designing infrastructure to serve AI/ML models. This role involves contributing to the technical vision, writing technical documentation, and mentoring others, all while fostering a fun and collaborative work environment. The team focuses on 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.

Make is the leading visual platform for anyone to design, build, and automate anything—from tasks and workflows to apps and systems—without the need for coding skills. We are headquartered in the flourishing tech hub of Prague, Czech Republic, and our teams are spread across the USA, UK, Germany, France, Canada, India and Chile, among other locations.

**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.

 

**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 places 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 to go from a developer suggestion to 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

 

 

#careeratmake

**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](https://www.instagram.com/Lifeatmake), [Meet-up page](https://www.meetup.com/make-techtalks-prague/), or [YouTube](https://www.youtube.com/watch?v=LI_YNgHqQcw&list=PLrED3I754Lhmo1yaRlcEuBB-u2Xp0nTJr) to get a sense of the vibe.

[<img src="https://www.glassdoor.com/api/widget/verticalStarRating.htm?e=7362352" alt="Find us on Glassdoor." width="179" height="70">](https://www.glassdoor.com/Overview/Working-at-Make-EI_IE7362352.11,15.htm)


Make is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment and equal opportunity in all aspects of employment. We will not tolerate any unlawful discrimination or harassment of any kind. We make all employment decisions without regard to race/ethnicity, color, sex, pregnancy, age, sexual orientation, gender identity or expression, transgender status, national origin, citizenship status, religion, physical or mental disability, veteran status, or any other factor protected by applicable anti-discrimination laws.  As a US federal contractor, we are committed to the principles of affirmative action in accordance with applicable laws and regulations.  [Different makes us better.](https://www.celonis.com/careers/diversity/)

[Accessibility and Candidate Notices](https://www.celonis.com/careers/candidate-notices/)

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<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Position Summary</h3>Gametime is seeking a Director of Applied Machine Learning to lead the development and application of machine learning and LLM-powered models that drive meaningful business impact across product, marketing, operations, and other key functions. This role is ideal for a hands-on, applied ML leader who thrives at the intersection of modeling excellence and business understanding. You will work closely with Product, Data, Engineering, and business partners to identify high-value opportunities, translate them into well-defined modeling problems, and deliver production-ready solutions. A core focus of this role will be curation, including ranking, filtering, and personalization systems that directly shape the customer experience, alongside thoughtful application of modern LLM-based techniques.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Who You Are</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">An experienced applied ML practitioner with a track record of delivering production models that move business metrics</li><li class="leading-relaxed">Deeply comfortable owning ranking, recommendation, and curation problems from framing through iteration in production</li><li class="leading-relaxed">Experienced applying both classical ML techniques and LLM-based approaches with strong technical judgment</li><li class="leading-relaxed">A player-coach who can review code, guide modeling decisions, and mentor ML practitioners</li><li class="leading-relaxed">Business-oriented, seeking context, tradeoffs, and outcomes rather than purely technical elegance</li><li class="leading-relaxed">Comfortable managing multiple initiatives across stakeholders and timelines</li><li class="leading-relaxed">A clear communicator who can translate complex ML concepts into business-relevant insights</li><li class="leading-relaxed">Curious and motivated to stay current with applied ML and LLM advancements</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What You Will Work On</h3>Applied ML and Business Alignment<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Partner with Product, Marketing, Operations, and other teams to identify where ML can drive measurable value</li><li class="leading-relaxed">Translate business problems into clear modeling objectives, metrics, and experimentation plans</li><li class="leading-relaxed">Ensure ML efforts remain tightly aligned with business priorities and user impact</li></ul>Ranking, Curation, and Personalization<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Lead the design, development, and iteration of ranking, filtering, and personalization models across Gametime’s product surfaces</li><li class="leading-relaxed">Own modeling approaches, feature strategy, evaluation metrics, and offline and online experimentation</li><li class="leading-relaxed">Balance relevance, revenue, and user trust when evolving ranking solutions</li></ul>LLM and Advanced Modeling Applications<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Apply LLMs and hybrid ML techniques to use cases suchs as semantic understanding, intent detection, content generation, and internal workflows</li><li class="leading-relaxed">Evaluate emerging tools and techniques, recommending pragmatic adoption where they provide clear benefit</li><li class="leading-relaxed">Establish best practices for testing, deploying, and monitoring 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Senior TypeScript AI Engineer

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