Bewort

About the Role

We’re looking for a talented Full-Stack Engineer with solid experience in .NET (6+) and Vue.js (2/3) to join a dynamic team and contribute to the development of scalable web applications. This is a hands-on role where you'll be working across the entire stack, building intuitive interfaces and robust backend services.

You’ll collaborate closely with the client’s internal team to design and implement clean, efficient solutions that meet technical and business requirements.

Your Responsibilities

Develop, optimize, and maintain full-stack web applications using .NET 6+, Vue.js 2/3, MediaTR, and EF Core.

Participate in system design, architecture discussions, and code reviews.

Work with REST APIs and implement features using CQS, event-based patterns, and clean coding practices.

Ensure performance, scalability, and maintainability of the application.

Take part in testing, debugging, and delivering high-quality releases.

Share innovative ideas and stay updated with emerging technologies.

What We’re Looking For

3+ years of hands-on experience with .NET 6+ and Vue.js.

Strong knowledge of Web API, CQS, MediaTR, and event-driven architectures.

Proficiency in HTML, CSS, and TypeScript.

Ability to work independently and as part of a team in an agile environment.

Excellent communication skills and fluent English (both spoken and written).

EU or UK residency (must be legally eligible to work as a contractor).

What We Offer

Flexible working hours.

Fully remote collaboration.

Competitive rate based on experience.

About the Role

We are building a large-scale conversational AI platform focused on personalized human–AI interaction. The product operates at significant real-world scale, serving tens of millions of users and processing over 80 million tokens per day. The platform works in a complex domain that requires advanced alignment, moderation, and low-latency inference.

We are looking for a Tech Lead to take ownership of the LLM direction and lead a small team of AI engineers. This is a hands-on role combining system design, model development, and production engineering. The product operates in an uncensored / NSFW environment, which requires careful, context-aware moderation rather than simplistic safety filters.
 

What You Will Do

• Lead and build the LLM systems powering the core conversational experience. You will architect and evolve the core chat loop, including context windows, memory and RAG pipelines, and inference performance.
• Own the full model lifecycle, including prompt design, supervised fine-tuning, and preference optimization. You will make decisions on when to fine-tune models, when to redesign retrieval pipelines, and how to manage data quality at scale.
• Design and implement moderation and alignment systems suitable for an explicit environment. This includes building custom classifiers and moving beyond binary safe/unsafe decisions toward nuanced, context-aware moderation.
• Work closely with DevOps and backend teams to deploy, monitor, and continuously improve production systems used by millions of users globally.
   

Requirements

• You have 8+ years of engineering experience and a strong track record of shipping ML or LLM-based systems to production at scale.
• You are highly proficient in Python and PyTorch and familiar with modern LLM tooling and infrastructure.
• You are comfortable working with NSFW content and understand the technical and ethical challenges of moderating explicit conversational systems.
• You have strong intuition for LLM behavior, including how prompting, sampling, and alignment techniques affect model outputs.
• You prioritize practical, shippable solutions and take ownership of system reliability, performance, and user impact.
   

Team & Environment

You will lead a small LLM team and collaborate closely with DevOps and web/backend engineers. The environment emphasizes autonomy, direct communication, and a strong bias toward execution and measurable impact.

QA Engineer – Data Warehouse & BI Testing
 

We are looking for a QA Engineer to join our Data Analytics team and ensure the reliability of the data that informs key business decisions. In this position, you will focus not only on testing but also on validating that the insights driving our business are trustworthy and accurate. Your contributions will directly support teams across the company, enabling faster and more confident decision-making.
 

What you’ll do:

• Conduct thorough validation of data transformations and integration workflows to ensure correctness and completeness.
• Review and verify BI reports and dashboards, including calculations, aggregations, and visual presentation.
• Collaborate with developers to identify, troubleshoot, and resolve data issues.
• Participate in requirement discussions to understand business needs and define the scope of testing.
• Develop and maintain detailed test plans, test scenarios, and scripts for data and reporting projects.
• Record and track defects, ensuring they are resolved and documented appropriately.
• Assist with User Acceptance Testing (UAT) and work with business users to confirm data accuracy.
• Support the creation of testing standards and best practices for data projects.
   

Required qualifications:

• Minimum 3 years of experience in manual testing.
• At least 1 year of hands-on experience with Data Warehouses (essential).
• Strong SQL skills and understanding of database testing concepts.
• Experience designing and executing test cases.
• Knowledge of BI tool testing, preferably Power BI.
• Strong analytical skills and attention to detail.
• Good teamwork and communication skills.
• Knowledge of the Czech language (written and spoken)
   

Will be a plus:

• Understanding of data warehousing testing approaches.
• Familiarity with test automation tools or frameworks.
• Experience with Snowflake, DBT, or similar data transformation platforms.