Senior AI/ML Engineer
* This is a remote position open to candidates in Europe. For those based in the Czech Republic, a hybrid work model is also available.
ABOUT US
We are a leading product development partner specializing in custom web and mobile application development. With Silicon Valley founders and top-tier European tech talent, we operate from Prague and have successfully delivered over 65 software products for early-stage startups, scaleups, and global enterprises.
Founded in 2016
Headquartered in Prague
Built and launched 65+ products
85+ team members
Driving product innovation for leading US companies
At OAK’S LAB, we take an AI-first approach, utilizing AI on almost every project. From streamlining design and testing workflows to enhancing developer productivity, our teams leverage tools such as Figma MCP Server, Playwright MCP Server, and Cursor, and we’re actively experimenting with remote AI agents to push the boundaries of what’s possible in product development.
OUR PROJECTS
Here are a few from our portfolio:
Nasdaq Private Market (Series C, Finance)- nasdaqprivatemarket.com
Blackpoint Cyber (Series B, Cybersecurity) - blackpointcyber.com
OpenLoop (Series A, Healthcare) - openloophealth.com
THE ROLE
Our product development team is seeking a Senior AI Engineer who brings creative thinking, problem-solving, and proactive technical expertise to help us build outstanding web and mobile applications for our clients. You’ll be working on cutting-edge projects, solving challenges that were previously unsolvable without the use of AI
In this role, you will work within a dedicated product team consisting of the Tech Lead for the specific product, a Product Manager, a Designer, and a skilled team of engineers to drive the product’s success. From engaging in technical discussions to engineering complex features, your involvement spans the entire product development lifecycle and building production-ready ML services from the ground up. You will take ownership of the technical direction for specific projects, acting as the bridge between complex client problems and production-ready machine learning solutions.
RESPONSIBILITIES
Collaborate with product teams to understand feature requirements and translate them into technical solutions leveraging AI/ML models
Develop proof-of-concepts and demonstrate technical value to stakeholders through clear, evidence-based reasoning based on both the qualitative and quantitative analysis.
Design and implement end-to-end architecture of ML pipelines from data ingestion and analysis to production deployment.
Conduct deep data analysis and quality assessments to determine project feasibility
Build and validate the output quality of AI models, focusing on architecting robust ML services. (instead of Validate the output quality from AI models to ensure it aligns with business needs and provides value to end-users)
Integrate APIs (e.g., LLM APIs (e.g. OpenAI, Anthropic, Gemini, Hugging Face) into applications leveraging NLP and image recognition
Design scalable, modular, and maintainable architectures for AI-powered applications
Work with unstructured data (text, images, etc.) and convert it into model-ready formats
Working with databases, data analysis, and data quality assessment
Optimize server-side logic and handle data analysis via MCP servers and advanced orchestration.
Break down complex product challenges (e.g., recommendation engines, personalized learning paths) into manageable technical components.
Work on prompt engineering tasks, working with embeddings and RAG, customizing LLMs
Implement vector databases in Postgres for RAG systems
SKILLS & REQUIREMENTS
Doctorate or Master degree in Data Science, Computer Science, Mathematics, Statistics, or related field
3+ years of commercial experience building and shipping data science solutions
Strong Python programming skills, with a focus on clean, maintainable, and production-ready code
Solid foundation in statistical modeling, core ML algorithms, and optimization techniques.
Hands-on NLP experience
Working knowledge of LLM APIs (e.g., OpenAI, Anthropic, custom/private LLMs), prompt engineering and model integration, MCP
Proficiency in SQL and advanced data manipulation techniques.
Proficiency in Exploratory Data Analysis and executing data quality assessment.
Understanding of ML evaluation methodologies and managing data science experimentation pipelines.
Strong problem-solving abilities with a pragmatic, innovative approach
Deep understanding of the "why" behind models (Statistics, Probability, Transformer architecture)
Excellent communication skills - able to explain complex concepts to non-technical stakeholders
Proficiency in English
Nice to Have
Exposure to Bayesian methods or other probabilistic modeling techniques.
Experience with data orchestration tools and MLOps principles.
Exposure to Full-stack development using TypeScript/JavaScript
BENEFITS
Flexible working hours
26 days off + 1 additional day for every year working with OAK’S LAB (capped at 30 days)
Budget to spend on your growth (books, courses, conferences)
Team bonding, happy hours, online games, and annual offsite trips
Outside of work, activity clubs (yoga, traveling, football, tennis, etc.)
Snacks and drinks in the office, weekly pizza, and monthly breakfast
Landmark office right on Old Town Square (dog-friendly)
Free English lessons
Important Notice: OAK'S LAB communication, including interview requests and job offers, are only sent from an "@oakslab.com" or "@oaks-lab.com" email addresses (e.g., john@oakslab.com or john@oaks-lab.com). Any message from a different email domain is not associated with OAK'S LAB. We will never ask for payment information or banking details via email, phone, or any other communication channel during the interview process. If you receive messages using our name, domain, or brand assets in an attempt to impersonate us or act on our behalf, do not engage. Instead, report it to Econsumer.gov at Government Shutdown Notice / Aviso de cierre del gobierno (if you are in the EU), Federal Trade Commission (FTC) at Government Shutdown Notice / Aviso de cierre del gobierno , or the Securities and Exchange Commission (SEC) in case of investment fraud at SEC.gov | Report Suspected Securities Fraud or Wrongdoing (if you are in the US).