ExpoPlatform

QA Engineer (AI/LLM)
Full-time | Remote
 
About Us 
ExpoPlatform is a UK-based company founded in 2013, delivering advanced technology for online, hybrid, and in-person events across 30+ countries. Our platform provides end-to-end solutions for event organizers, including registration, attendee management, event websites, and networking tools.

About the Role
We are looking for a Senior QA Engineer to join our Data Science team. In this role, you will take ownership of defining and executing the quality strategy for AI-driven services, ensuring reliability, scalability, and excellent user experience. You will work closely with ML engineers, product managers, and designers to raise the quality bar for our AI solutions.
To be successful in this role, you should bring at least two out of the following three strengths:

• Strong QA skills with a structured and methodical approach to work,
• Strong English language skills, both written and spoken,
• Hands-on experience testing AI/ML systems, chatbots, or LLM-based tools. 

Role Responsibilities

• Define and drive QA strategy and best practices for the Data Science team
• Analyze business and technical requirements to ensure testability and completeness
• Design, implement, and execute functional and non-functional testing (web, mobile, agentic services)
• Lead testing of API endpoints, data pipelines, and integrations within DS-managed services
• Validate frontend and backend processes in interactions with DS components
• Assess LLM behavior: validate prompts, agent workflows, conversation logic, and detect inconsistencies, hallucinations, or undesired outputs
• Collaborate with cross-functional stakeholders to improve AI reliability, fairness, and user satisfaction
• Conduct and guide performance, scalability, and latency testing for AI model inference and responses
• Oversee regression and release testing, ensuring high-quality production deployments
• Establish clear defect management, tracking, and reporting processes
• Contribute to product planning, backlog refinement, and architectural discussions with a QA perspective
• Stay current on advancements in LLM capabilities, benchmarking practices, and AI quality metrics

Required Experience

• 5+ years of experience in functional and non-functional testing, with at least 2 years in a senior role
• Experience testing AI/ML systems, chatbots, or LLM-based tools
• Familiarity with prompt engineering, model evaluation, and validation techniques
• In-depth understanding of QA methodologies, test strategies, and processes
• Solid experience with API testing and related tools
• Familiarity with web technologies (HTML, XML, SQL) and data validation
• Hands-on experience with QA management and collaboration tools (e.g., Jira, Confluence, TestRail)
• English (C1) with excellent communication and documentation skills

Nice to Have

• Additional languages: French, German, or Spanish
• Experience with test automation frameworks (e.g., Pytest, Selenium, Playwright)
• Programming/scripting skills (Python, JavaScript, or similar)
• Familiarity with cloud environments (AWS) and CI/CD pipelines 

What We Offer

• Career growth with an international team.
• Competitive salary and financial stability.
• Flexible working hours (Mon-Fri, 8 hours).
• Free English courses and a budget for education.

Data Science Lead

Full-time | Remote

About Us

ExpoPlatform is a UK-based product company that builds a SaaS platform for large-scale events, exhibitions, and online communities. We’re a distributed team — people work from the UK, Ukraine, Poland, Brazil, Pakistan, and other locations — so communication is mostly in English, though some internal teams also use Ukrainian. The platform itself is mature, high-load, and cloud-native — fully hosted on AWS. We are expanding our AI and data science capabilities and looking for a strong Data Science Lead to drive this direction.

About the Role

We’re looking for a Data Science Lead with a strong background in Data Science, Leadership and Operations to join our team. In this role, you will lead and execute AI-driven initiatives, build scalable data solutions, and shape the data science strategy. You will collaborate closely with product, engineering, and business teams, taking ownership of the full ML lifecycle — from data preparation and experimentation to deployment, monitoring, and retraining — while ensuring data quality, governance, and responsible AI practices.

Responsibilities

• Lead and execute AI and data science initiatives, including recommendation systems, analytics solutions, and intelligent automation
• Define and shape data science strategy aligned with business and product goals
• Own the full ML lifecycle: data preparation, experimentation, deployment, monitoring, and retraining
• Build and maintain high-performance REST APIs and asynchronous services using FastAPI
• Design and maintain scalable cloud-native solutions on AWS
• Collaborate with Product, Engineering, and business stakeholders to translate data insights into business value
• Ensure data quality, governance, and responsible AI practices
• Contribute to architectural and infrastructure decisions.

Requirements

• 4+ years of hands-on experience in Data Science / Applied Machine Learning
• Strong Python expertise (Python 3.13 as primary language)
• Solid experience with Pandas, NumPy, Scikit-Learn
• Strong experience with FastAPI for high-performance REST API development
• Production experience with AWS services, including AWS Lambda and serverless infrastructure
• Strong experience with Terraform for Infrastructure as Code (IaC) and infrastructure provisioning
• Experience working with analytical databases (ClickHouse is a strong advantage)
• Strong SQL skills and experience with large-scale data processing
• Experience leading projects and working cross-functionally
• English — Upper-Intermediate or higher.

Nice to Have

• Experience with LLMs (OpenAI, Amazon Bedrock, Hugging Face)
• Experience with vector databases
• Experience building AI-driven search or chatbot systems
• Understanding of agile methodologies and end-to-end data science project management

Technology Stack

• Python 3.13
• FastAPI
• AWS (including AWS Lambda)
• ClickHouse
• Terraform

What We Offer

• The opportunity to architect and build scalable, cloud-native systems 
• Work with cutting-edge AI and data science technologies
• Career growth within an international and fast-scaling SaaS company
• Competitive salary and long-term financial stability

• Paid vacation, sick leave, and public holidays
• Semi-flexible working hours (Mon–Fri, 8 hours)
• Fully remote and distributed team environment
• Free English courses and education budget.