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Senior Applied AI Engineer (JS)

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
  • 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, Meet-up page, or YouTube to get a sense of the vibe.

Find us on Glassdoor.

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.

Accessibility and Candidate Notices

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What You Should Know About Senior Applied AI Engineer (JS), Make

Are you ready to take your career to the next level? Join Make as a Senior Applied AI Engineer in the vibrant city of Prague, Czechia! At Make, we're not just about technology; we're driven by a passion for innovation and solving complex problems. We empower people by enabling them to design and automate workflows and apps without the need for extensive coding skills. Our dedicated team is transforming the world of automation, using cutting-edge AI, including large language models (LLMs), to create powerful user experiences. As a Senior Applied AI Engineer, you'll play a pivotal role in designing and developing features that enhance our visual platform while working closely with product managers and AI/ML experts. Your mission will be to understand the specific needs of Make's customers and translate these needs into scalable AI solutions. Imagine crafting intelligent automation solutions that can seamlessly integrate enterprise operational data! With our emphasis on collaboration and rapid development, your insights will be valued and recognized as essential contributions to our team’s success. Plus, you'll enjoy a supportive atmosphere where growth is encouraged, and creativity thrives. Come join us and help shape the future of NoCode automation with your expertise in AI technologies. If you’re excited about the possibility of turning complex problems into dynamic solutions, Make is the place for you!

Frequently Asked Questions (FAQs) for Senior Applied AI Engineer (JS) Role at Make
What qualifications do I need to become a Senior Applied AI Engineer at Make?

To qualify for the Senior Applied AI Engineer position at Make, candidates should have a Bachelor’s or Master’s degree in Computer Science or a related field, along with 3-5+ years of practical experience in developing scalable AI/ML solutions. Strong communication skills and a passion for innovative technology are also essential.

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What technologies will I work with as a Senior Applied AI Engineer at Make?

As a Senior Applied AI Engineer at Make, you'll work with a diverse tech stack, including Node.js, TypeScript, PostgreSQL, LangChain, and various AI technologies. Experience with LLM APIs and data mining will also be advantageous as you develop intelligent automation solutions.

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How does the team structure work at Make for the Senior Applied AI Engineer role?

At Make, the team structure is designed for collaboration. As a Senior Applied AI Engineer, you will work closely with product managers, software engineers, and AI/ML experts, ensuring that input from all members is respected and utilized effectively. This collaborative environment fuels innovation and high-quality results.

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What kind of projects will I be involved in as a Senior Applied AI Engineer at Make?

In the Senior Applied AI Engineer role, you'll be involved in building advanced AI features based on LLMs, creating scalable AI solutions, and developing APIs for enterprise data integration. Your work will directly impact the automation and efficiency of our clients' workflows.

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What is the company culture like at Make for the Senior Applied AI Engineer?

Make boasts a vibrant and inclusive company culture where creativity and collaboration are paramount. As a Senior Applied AI Engineer, you'll enjoy flexible working hours, opportunities for professional growth, and a strong sense of community within a multinational team.

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What are the growth opportunities for a Senior Applied AI Engineer at Make?

Make promotes continuous learning and development, offering various programs, including professional courses and workshops. As a Senior Applied AI Engineer, you’ll have the chance to take ownership of projects, mentor others, and contribute to the technical vision of your team.

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What benefits does Make provide to Senior Applied AI Engineers?

Make provides a comprehensive benefits package for Senior Applied AI Engineers, including RSUs, annual bonuses, 25 days of vacation, remote working allowances, and wellness programs. You'll also enjoy company-organized events and camaraderie with diverse colleagues.

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Common Interview Questions for Senior Applied AI Engineer (JS)
Can you describe your experience with large language models (LLMs) in previous projects?

In your response, highlight specific instances where you've used LLMs to solve problems. Discuss the context, your approach, the outcomes, and what insights you gained while working with these models. Use examples that showcase both technical expertise and the ability to actively contribute to collaborative projects.

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How do you approach designing scalable AI solutions?

When answering this question, outline your process for understanding business needs, defining requirements, and applying appropriate AI techniques. Emphasize the importance of performance optimization, maintainability, and collaboration with stakeholders. Providing an example of a successful project can enhance your answer.

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What strategies do you use for data collection and preprocessing in AI projects?

Discuss your methods for gathering relevant data, ensuring quality, and preparing datasets for AI models. You can mention techniques like data cleansing, feature selection, and handling missing values, emphasizing how these practices contribute to building effective and reliable AI solutions.

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How do you ensure that the AI models you develop meet their performance goals?

Explain your approach to monitoring and evaluating model performance. Discuss metrics you typically use, such as accuracy or precision, and how customer feedback informs your iterative improvements. Highlight your experience in deploying evaluation mechanisms to measure progress effectively.

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Can you talk about a challenge you faced while developing an AI feature and how you overcame it?

Share a concrete example of a challenge you've encountered, detailing the specific issue and your thought process in addressing it. Emphasize problem-solving skills, adaptability, and the collaborative efforts with your team to find a solution and learn from the experience.

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What role does customer feedback play in your development process?

Highlight the significance of customer feedback in shaping your work. Explain how you gather insights, analyze them, and implement changes based on feedback. Providing an example where customer input led to an improvement in your project can illustrate your point effectively.

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Describe your experience working in a collaborative team environment.

Illustrate your ability to work effectively with diverse teams. Share examples of how you contribute to team communication, share knowledge, and assist colleagues. Emphasizing strong interpersonal skills and adaptability will demonstrate your passion for teamwork.

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What are the best practices for API design in AI applications?

Discuss your knowledge of RESTful and GraphQL APIs and how those principles apply to AI-based applications. Touch on aspects such as versioning, documentation, authentication, and performance optimization to build robust APIs that effectively serve AI functionalities.

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How do you keep up with the latest advancements in AI and machine learning?

Mention the various resources you utilize, such as academic papers, online courses, conferences, or workshops. Highlight your dedication to lifelong learning and share specific examples of how you've applied new knowledge in your projects to improve outcomes.

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What is your experience with evaluating and fine-tuning machine learning models?

Describe your approach to model evaluation, including parameter tuning and validation techniques. Discuss different strategies you’ve employed in fine-tuning models, sharing an example to illustrate how these efforts led to improved performance and reliability.

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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. Make enables individuals, teams, and enterprises across all verticals to create...

15 jobs
MATCH
VIEW MATCH
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$80,000/yr - $120,000/yr
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
November 27, 2024

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