Jobs at Djinni

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client is an IT company that develops technological solutions and products to help companies reach their full potential and meet the needs of their users. The team comprises over 600 specialists in IT and Digital, with solid expertise in various technology stacks necessary for creating complex solutions.

About the role:
We are looking for an experienced Senior/Middle Data Scientist with a passion for Large Language Models (LLMs) and cutting-edge AI research. In this role, you will design and implement a state-of-the-art evaluation and benchmarking framework to measure and guide model quality, and personally train LLMs with a strong focus on Reinforcement Learning from Human Feedback (RLHF). You will work alongside top AI researchers and engineers, ensuring the models are not only powerful but also aligned with user needs, cultural context, and ethical standards.

Requirements:
Education & Experience:
- 3+ years of experience in Data Science or Machine Learning, preferably with a focus on NLP.
- Proven experience in machine learning model evaluation and/or NLP benchmarking.
- Advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred.
NLP Expertise:
- Good knowledge of natural language processing techniques and algorithms.
- Hands-on experience with modern NLP approaches, including embedding models, semantic search, text classification, sequence tagging (NER), transformers/LLMs, RAGs.
- Familiarity with LLM training and fine-tuning techniques.
ML & Programming Skills:
- Proficiency in Python and common data science and NLP libraries (pandas, NumPy, scikit-learn, spaCy, NLTK, langdetect, fasttext).
- Strong experience with deep learning frameworks such as PyTorch or TensorFlow for building NLP models.
- Solid understanding of RLHF concepts and related techniques (preference modeling, reward modeling, reinforcement learning).
- Ability to write efficient, clean code and debug complex model issues.
Data & Analytics:
- Solid understanding of data analytics and statistics.
- Experience creating and managing test datasets, including annotation and labeling processes.
- Experience in experimental design, A/B testing, and statistical hypothesis testing to evaluate model performance.
- Comfortable working with large datasets, writing complex SQL queries, and using data visualization to inform decisions.
Deployment & Tools:
- Experience deploying machine learning models in production (e.g., using REST APIs or batch pipelines) and integrating with real-world applications.
- Familiarity with MLOps concepts and tools (version control for models/data, CI/CD for ML).
- Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Hadoop, Ray, Dask) for scaling data processing or model training.
Communication:
- Experience working in a collaborative, cross-functional environment.
- Strong communication skills to convey complex ML results to non-technical stakeholders and to document methodologies clearly.

Nice to have:
Advanced NLP/ML Techniques:
- Prior work on LLM safety, fairness, and bias mitigation.
- Familiarity with evaluation metrics for language models (perplexity, BLEU, ROUGE, etc.) and with techniques for model optimization (quantization, knowledge distillation) to improve efficiency.
- Knowledge of data annotation workflows and human feedback collection methods.
Research & Community:
- Publications in NLP/ML conferences or contributions to open-source NLP projects.
- Active participation in the AI community or demonstrated continuous learning (e.g., Kaggle competitions, research collaborations) indicating a passion for staying at the forefront of the field.
Domain & Language Knowledge:
- Familiarity with the Ukrainian language and context.
- Understanding of cultural and linguistic nuances that could inform model training and evaluation in a Ukrainian context.
- Knowledge of Ukrainian benchmarks, or familiarity with other evaluation datasets and leaderboards for large models, can be an advantage given the project’s focus.
MLOps & Infrastructure:
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML, as well as ML workflow tools (MLflow, Airflow).
- Experience in working alongside MLOps engineers to streamline the deployment and monitoring of NLP models.
Problem-Solving:
- Innovative mindset with the ability to approach open-ended AI problems creatively.
- Comfort in a fast-paced R&D environment where you can adapt to new challenges, propose solutions, and drive them to implementation.

Responsibilities:
- Analyze benchmarking datasets, define gaps, and design, implement, and maintain a comprehensive benchmarking framework for the Ukrainian language.
- Research and integrate state-of-the-art evaluation metrics for factual accuracy, reasoning, language fluency, safety, and alignment.
- Design and maintain testing frameworks to detect hallucinations, biases, and other failure modes in LLM outputs.
- Develop pipelines for synthetic data generation and adversarial example creation to challenge the model’s robustness.
- Collaborate with human annotators, linguists, and domain experts to define evaluation tasks and collect high-quality feedback
- Develop tools and processes for continuous evaluation during model pre-training, fine-tuning, and deployment.
- Research and develop best practices and novel techniques in LLM training pipelines.
- Analyze benchmarking results to identify model strengths, weaknesses, and improvement opportunities.
- Work closely with other data scientists to align training and evaluation pipelines.
- Document methodologies and share insights with internal teams.

The company offers:
- Competitive salary.
- Equity options in a fast-growing AI company.
- Remote-friendly work culture.
- Opportunity to shape a product at the intersection of AI and human productivity.
- Work with a passionate, senior team building cutting-edge tech for real-world business use.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client is an IT company that develops technological solutions and products to help companies reach their full potential and meet the needs of their users. The team comprises over 600 specialists in IT and Digital, with solid expertise in various technology stacks necessary for creating complex solutions.

About the role:
We are looking for an experienced Senior/Middle Data Scientist with a passion for Large Language Models (LLMs) and cutting-edge AI research. In this role, you will focus on designing and prototyping data preparation pipelines, collaborating closely with data engineers to transform your prototypes into scalable production pipelines, and actively developing model training pipelines with other talented data scientists. Your work will directly shape the quality and capabilities of the models by ensuring we feed them the highest-quality, most relevant data possible.

Requirements:
Education & Experience:
- 3+ years of experience in Data Science or Machine Learning, preferably with a focus on NLP.
- Proven experience in data preprocessing, cleaning, and feature engineering for large-scale datasets of unstructured data (text, code, documents, etc.).
- Advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred.
NLP Expertise:
- Good knowledge of natural language processing techniques and algorithms.
- Hands-on experience with modern NLP approaches, including embedding models, semantic search, text classification, sequence tagging (NER), transformers/LLMs, RAGs.
- Familiarity with LLM training and fine-tuning techniques.
ML & Programming Skills:
- Proficiency in Python and common data science and NLP libraries (pandas, NumPy, scikit-learn, spaCy, NLTK, langdetect, fasttext).
- Strong experience with deep learning frameworks such as PyTorch or TensorFlow for building NLP models.
- Ability to write efficient, clean code and debug complex model issues.
Data & Analytics:
- Solid understanding of data analytics and statistics.
- Experience in experimental design, A/B testing, and statistical hypothesis testing to evaluate model performance.
- Comfortable working with large datasets, writing complex SQL queries, and using data visualization to inform decisions.
Deployment & Tools:
- Experience deploying machine learning models in production (e.g., using REST APIs or batch pipelines) and integrating with real-world applications.
- Familiarity with MLOps concepts and tools (version control for models/data, CI/CD for ML).
- Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Hadoop, Ray, Dask) for scaling data processing or model training.
Communication & Personality:
- Experience working in a collaborative, cross-functional environment.
- Strong communication skills to convey complex ML results to non-technical stakeholders and to document methodologies clearly.
- Ability to rapidly prototype and iterate on ideas

Nice to have:
Advanced NLP/ML Techniques:
- Familiarity with evaluation metrics for language models (perplexity, BLEU, ROUGE, etc.) and with techniques for model optimization (quantization, knowledge distillation) to improve efficiency.
- Understanding of FineWeb2 or similar processing pipelines approach.
Research & Community:
- Publications in NLP/ML conferences or contributions to open-source NLP projects.
- Active participation in the AI community or demonstrated continuous learning (e.g., Kaggle competitions, research collaborations) indicating a passion for staying at the forefront of the field.
Domain & Language Knowledge:
- Familiarity with the Ukrainian language and context.
- Understanding of cultural and linguistic nuances that could inform model training and evaluation in a Ukrainian context.
- Knowledge of Ukrainian text sources and data sets, or experience with multilingual data processing, can be an advantage given the project’s focus.
MLOps & Infrastructure:
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML, as well as ML workflow tools (MLflow, Airflow).
- Experience in working alongside MLOps engineers to streamline the deployment and monitoring of NLP models.
Problem-Solving:
- Innovative mindset with the ability to approach open-ended AI problems creatively.
- Comfort in a fast-paced R&D environment where you can adapt to new challenges, propose solutions, and drive them to implementation.

Responsibilities:
- Design, prototype, and validate data preparation and transformation steps for LLM training datasets, including cleaning and normalization of text, filtering of toxic content, de-duplication, de-noising, detection and deletion of personal data, etc.
- Formation of specific SFT/RLHF datasets from existing data, including data augmentation/labeling with LLM as teacher.
- Analyze large-scale raw text, code, and multimodal data sources for quality, coverage, and relevance.
- Develop heuristics, filtering rules, and cleaning techniques to maximize training data effectiveness.
- Collaborate with data engineers to hand over prototypes for automation and scaling.
- Research and develop best practices and novel techniques in LLM training pipelines.
- Monitor and evaluate data quality impact on model performance through experiments and benchmarks.
- Research and implement best practices in large-scale dataset creation for AI/ML models.
- Document methodologies and share insights with internal teams.

The company offers:
- Competitive salary.
- Equity options in a fast-growing AI company.
- Remote-friendly work culture.
- Opportunity to shape a product at the intersection of AI and human productivity.
- Work with a passionate, senior team building cutting-edge tech for real-world business use.

QA Madness is a European IT service company focusing strongly on QA and cyber security. The company was founded in 2013 and is headquartered in Poland.
We are looking for an experienced General QA Engineer (Banking) to join our team and contribute to an exciting banking project. In this role, you will play a key part in developing and maintaining an automation framework while following industry best practices.

Work type: Remote. 
Technical level: Middle. 
Job category: QA. 
Project: Banking project. 
English level: Intermediate.   

Responsibilities: 
Execute automation test suite and analyze/report results; 
Manual testing with existing test cases; 
Plan and describe test scenarios for future automation in cooperation with colleagues; 
Implement new automation tests; 
Participate in team meetings to discuss task implementation details from a QA perspective; 
Create detailed testing documentation to grow the internal knowledge base; 
Search and try new testing solutions that can bring benefits; 
Look for new approaches in automation and apply best practices.

Required Skills: 
2+ years of experience working with Manual and Automation testing; General knowledge and practical experience writing web automation using JavaScript; 
Strong proficiency in TypeScript and experience with testing frameworks such as Playwright; 
Knowledge and experience working with Flexcube is desirable; Experience with web testing frameworks and tools; 
Understanding of software development processes, stages, concepts, and methodologies of Quality Assurance; 
Experience in test case development, execution and maintenance; Experience with CI/CD tools; 
Strong analytical and diagnostic skills, attention to details; 
Willingness to ask for help from colleagues and to help others; Intermediate English level; 
Working experience in the banking sector or payment systems is advantageous.

What We Offer: 
Competitive salary in USD or EUR and good compensation package (reviews on demand to ensure your compensation reflects your growth and impact); 
Corporate English courses with native speakers; 
Remote work opportunity; 
Flexible work schedule (Enjoy the freedom to start your 8-hour workday at a time that fits your schedule best, anytime between 8 a.m. and 11 a.m.); 
The ability to focus on your work: a lack of bureaucracy and micromanagement (no tracking tools).   

Steps of the interview process: 
STEP 1: Go through the screening interview with a Tech Recruiter. 
STEP 2: Interview with technical specialists. 
STEP 3: Interview with a client.   

Please note, this job is a full-time position, and it is relevant only if you meet all requirements. Any candidate who fails to meet the requirements will not be considered for the job.
 

Hello 👋

We are looking for a 💪 Strong Junior to Middle Full-Stack Developer who will strengthen our team in creating a highly productive platform for managing vacancies, candidates, and employee work processes.

The platform will combine recruitment, project management, work reports, and financial operations into a single system. The main product is a web application with a separate tracker for desktop computers built on ElectronJS.

You will primarily work on the backend, helping to create reliable and scalable services, as well as occasionally developing and maintaining frontend tasks.

🛠 How You’ll Contribute:

• Develop backend logic for managing vacancies, candidates, applications, work reports, and payments.
• Build and maintain APIs (endpoints) and business logic.
• Optimize database performance (PostgreSQL) and ensure system stability under high load.
• Work with Redis for caching and fast data processing.
• Support microservices architecture using NestJS monorepo with a Gateway entry point.
• Occasionally assist with frontend tasks (React, Redux Toolkit, Zustand) — dashboards, application statuses, admin panels.

• Collaborate with senior developers and take ownership of features

   

🎯 What Makes You a Perfect Fit:

• 2+ years of experience with Node.js/NestJS and PostgreSQL.
• Solid understanding of backend architecture, transactional flows, and API integrations.
• Experience working on high-load systems or products with large data flows.
• Strong TypeScript skills and a clean coding style.
• Familiarity with microservices, Docker, and CI/CD pipelines.
• Comfortable switching context when needed and supporting frontend if required (React).

👍 Nice-to-Haves:

• Experience with integrations for HR, finance, or workflow APIs.
• Understanding of system reliability, fallback mechanisms, and performance optimization.
• Interest in infrastructure monitoring and scaling services.
• Experience working with region-specific products or international setups.
• Experience working with ElectronJS.

🧰 Our Tech Stack:

NestJS, Node.js, TypeScript, PostgreSQL, React, microservices, Docker, AWS, CI/CD pipelines, high-load architecture, and provider APIs.

🚀 Hiring Process:

The hiring process is clear and concise. It starts with a 30–40-minute intro call with a Talent Partner - an opportunity to learn more about the project, Umber, and the team, as well as to discuss the candidate’s experience.

Next comes a technical interview (~1.5 hours) covering both React and Node.js. The final step is a ~30-minute conversation focused on managerial topics and organizational details.

New long-term project for an Energy client, where we will migrate business logic from Oracle to .NET, for a microservice platform to support various business cases. 

Requirements:

• 7+ years of professional experience as QA
• 5+ years of experience as an Automation QA
• Experience in Automation both API and UI
• Commercial experience with C# test automation
• Good knowledge of code-test approaches, creation, and execution test cases, requirements analysis
• Tech skills: C#/.NET, xUnit, Test Containers, Kafka, k8s, Docker, Rest Easy, git, bash
• Good English verbal and written communication skills
• A clear understanding of SDLC and STLC processes and phases

Job responsibilities:

• Analyze functional business requirements for completeness.
• Participate in Application design with the developers and come up with a thorough testing strategy for the featur.e
• Test automation using C#
• Execute test scripts and identify variations from expected results
• Create/track/retest software defects in the designated defect tracking tool
• Work closely with development and product management on auto-test coverage
• Participate in and provide input during QA process improvement initiatives
• Support documenting process
• Communicate with the stakeholders about gthe eneric status of the teams

We are looking for a tech-savvy Specialist for a long-term outstaff project. Our partnership with this client has been ongoing for over 2 years, ensuring a stable and well-established work environment.

Key Highlight: Support is strictly text-based (chat and email). No phone calls or video meetings with customers.

Work Schedule & Conditions:

• Schedule (Kyiv Time / UTC+2):
  • January – February: 09:00 – 16:00, 5 days a week (Mon–Fri).
  • March: 07:00 – 14:00, 7 days a week (Project peak phase).
• Tech Stack: Express, Vue, Mongo, Redis, AWS.
• Onboarding: Comprehensive mentorship and documentation provided (all hours are billable).
• FTE for a Ukrainian company

Role Overview:

We are looking for a tech-savvy specialist who can independently troubleshoot issues and escalate them to the development team only when necessary. This role requires a proactive self-starter who is willing to invest time in deeply understanding the platform and delivering high-touch customer support. Ideally, the candidate has formal education or hands-on experience in computer programming, IT systems, or related fields. We see the greatest value in support specialists who are comfortable providing hands-on technical assistance, including reproducing issues, working with system diagrams and technical documentation, and, when needed, reviewing the codebase or using network and diagnostic tools.

Key Responsibilities:

1. Customer Support:

• Serve as the first point of contact for clients for customer inquiries, technical issues, and support requests via various channels, including chat, email.
• Respond promptly and professionally to customer queries, providing accurate information and helpful solutions.
• Troubleshoot and diagnose software-related problems reported by customers, assisting them in resolving issues effectively.
• Utilize diagnostic tools to identify whether the issue lies in the Frontend (Vue.js), Backend (Express), or Database (MongoDB/Redis) layers.

2. Issue Resolution:

• Investigate and analyze customer issues, working closely with the customer support manager, product team, and development teams to escalate and resolve complex technical problems.
• Document and track customer interactions and issues in a ticketing system, ensuring all cases are accurately recorded and monitored for timely resolution.
• Ensure that all customer support activities align with established service level agreements (SLAs) and quality standards.
• Perform initial codebase reviews and log analysis within the AWS environment to provide developers with actionable data.

3. Customer Relationship Management:

• Build and maintain strong relationships with clients, ensuring their ongoing satisfaction with our software products and services.
• Proactively engage with customers to gather feedback, identify areas for improvement, and communicate their needs to the relevant internal teams.

4. Product Knowledge and Training:

• Develop a deep understanding of our software products and stay up-to-date with new features and enhancements.
• Provide customers with product training, guidance, and best practices to maximize their software experience and optimize usage.
• Create and maintain internal technical documentation for the knowledge base.

5. Continuous Improvement:

• Identify recurring issues or patterns in customer inquiries and collaborate with the Customer Support Manager to implement process improvements and updates to enhance the overall customer experience.

—----

Start date - asap

Experience - Tech Stack: Express, Vue, Mongo, Redis, AWS.

Responsibilities:

• Manage and update the company website (content updates, SEO, visual consistency).
• Create, schedule, and manage posts on our LinkedIn and Facebook pages.
• Developing engaging content (text, visuals, short videos, etc.).
• Manage performance metrics for the website and social media (Google Analytics, LinkedIn Insights).
• Collaborate with designers and marketing leadership to support brand consistency.
• Stay up-to-date with digital trends, tools, and best practices.
• Organization of marketing events

Requirements:

• Strong English skills (Upper-Intermediate or higher) — verbal and written.
• Understanding of digital marketing concepts and tools.
• Enthusiasm for social media and content creation.
• Copywriting skills
• Ability to work independently and meet deadlines.
• A proactive, creative mindset and willingness to learn.
• Currently studying or recently graduated in Marketing, Communications, Digital Media, or strong background in marketing or IT field.

We Offer

• Competitive salary
• Flexible schedule
• Social package
• Courses, webinars, seminars to increase professional skills
• Snacks & fruit, foosball, fun office environment
• Horizontal hierarchy. No micromanagement pressure
• Open company culture where your ideas and initiatives are valued
• Regular team building & corporate events
• International projects

Key Responsibilities:
 

1) Internal Communications Management

• Support and develop internal communication channels: email newsletters, internal platforms, corporate Facebook page.
• Manage Instagram and other external SMM channels to strengthen the employer brand.

2) Content & Visuals

• Prepare presentations, newsletters, articles, and video materials.
• Create memos, infographics, and branded templates in Canva/Figma.

3) Corporate Initiatives & Events

• Provide organizational and informational support for corporate initiatives.
• Plan and execute online and offline events: corporate celebrations, meetups, teambuildings.

4) Regular Communications & Analytics

• Launch surveys and pulse checks, analyze engagement, and provide improvement recommendations.
• Prepare regular reports on key metrics and major company initiatives.

5) Cross-Functional Collaboration

• Work closely with HR, Marketing, IT, and other departments and project teams.
   

Expectations:
 

• 2+ years of experience in internal communications, HR marketing, or SMM.
• Strong spoken and written English skills (B2+).
• Clear, empathetic written and verbal communication style.
• Experience with Canva, Figma, PowerPoint, or similar tools is a plus.
• Strong organizational skills and ability to manage multitasking projects.
• Proactiveness, initiative, and an analytical mindset.
• Experience working with international teams is an advantage.
   

We Offer:
 

• Competitive salary based on interview results and a transparent bonus system.
• Hybrid work format (offices in Lviv, Dnipro, Poltava, or remote).
• Corporate well-being program and compensation for useful practices (including corporate English).
• Professional development opportunities and participation in strategic HR projects across 5+ countries (Ukraine, Poland, Romania, Bulgaria, Moldova, etc.).
• A friendly, supportive team and an open environment for implementing your professional ideas and ambitions.

Job Description

Primary Backend Skills:

• Framework: Deep expertise in the .NET 8 Framework, specifically for building Web APIs.
• API Development: Solid experience creating and managing endpoints using GraphQL for .NET.
• Data Access: Proficiency with Entity Framework for ORM.
• Testing: Skills in writing unit tests for backend services using XUnit.
• API Documentation: Experience using Swashbuckle to generate and maintain Swagger documentation.

Cloud & DevOps Experience:

• Platform: In-depth knowledge of the Azure platform is required.
• Containerization: Experience with Docker for creating and managing containerized applications. 
• Hands-on experience deploying microservices to Azure Container Apps.
• Understanding of hosting frontend applications on Azure Static Web App.
• Experience managing and interacting with Azure SQL Database.
• Experience with NoSQL databases, specifically Cosmos DB.
• Core Azure Services: Managing customer identity with Azure AD B2C, Using Application Insights for service monitoring, Experience with Azure API Management.

Preferred, Not Required Skills

• Familiarity with our modern frontend stack is a strong plus. This includes: Core Technologies: React, Typescript, and Material UI. State Management & Data: Redux toolkit and Apollo Client for GraphQL.
• Tooling: Experience with Vite as a build tool, Vitest for testing, and Zod for schema validation.
• Navigation: Understanding of React Router.
• Version Control: Proficiency with Git and GitHub.
• Collaboration: Experience working with Jira and Confluence.
• API Testing: Hands-on experience with Postman, particularly within a team workspace.
• Development Environment: Experience with development tools like Eslint, Prettify (Prettier), and Husky is beneficial. While the choice of IDE is flexible, experience with
• Visual Studio Code is preferred.

Job Responsibilities

Working in Scrum team and perform function of senior software developer doing software modules architecture, design, development, unit and integration testing and deployment.

Department/Project Description

Developting a cloud-based platform designed for managing latest generation of IoT devices.

The core part of the system provides a centralized location for remotely monitoring, upgrading, and configuring devices. It also offers an application marketplace, allowing users to deploy and customize applications for their devices.

At the moment it is extensively extending with services that deal with telemetry provided by the connected devices and services. These services are designed in two forms. First is the predefined set of data connectors and visualisation widgets, and the second is a framework that let customers to design own connectors and widgets.

Skill Category

.NET

Keyskills - Must Have

• .NET
• Azure
• GraphQL
• Entity Framework
• xUnit
• MS SQL Server

DELIFOOD is a technology company developing digital services and tools for the food delivery and restaurant industry.

We’re looking for a Product Designer who will work part-time and help us create clean, functional, and user-friendly interfaces for our web and mobile applications.

Responsibilities

• Design web and mobile user interfaces (React Web / React Native Mobile);
• Create and refine wireframes, user flows, and high-fidelity mockups;
• Design responsive layouts for different screen sizes and breakpoints;
• Prepare layouts and assets for developers;
• Ensure consistency and usability across platforms;
• Participate in discussions with product and engineering teams.
   

Requirements

• 3+ years of experience in UI/UX or Product Design;
• Strong portfolio with examples of web and mobile UI;
• Proficiency in Figma (components, auto-layout, prototyping);
• Experience designing responsive web interfaces;
• Understanding of platform guidelines (iOS / Android basics);
• Ability to translate product requirements into clear user flows and interfaces;
• Experience preparing assets for development (design tokens, styles, exports);
• English — Upper Intermediate or higher.
   

Nice to have

• Experience with design systems and UI kits;
• Basic understanding of UX research and user testing;

Ability to create simple animations or interactions (Figma, Lottie).
 

DELIFOOD is a technology company developing digital services and tools for the food delivery and restaurant industry.

We’re looking for a QA Engineer to help ensure the quality and stability of our web and mobile products.

Responsibilities

• Perform manual testing of web and mobile applications (React / React Native);
• Conduct functional, regression, smoke, and exploratory testing;
• Create and maintain test cases, checklists, and test documentation;
• Identify, describe, and track bugs using ClickUp (or similar tools);
• Collaborate with developers and product managers to clarify requirements and ensure consistent product quality;
• Validate releases and hotfixes.
   

Requirements

• 3+ years of experience in manual QA;
• Understanding of core testing types, test design techniques, and QA processes;
• Experience testing web applications and solid experience with mobile apps;
• Understanding of mobile platform specifics (iOS/Android behaviors, permissions, deep links).
• Ability to perform API testing (Postman, Swagger);
• Understanding of REST / GraphQL APIs and JSON structures;
• Knowledge of basic API attack vectors (auth issues, rate limits, input validation flaws, insecure data exposure, etc.);
• Ability to write clear bug reports and test cases;
• English — at least Intermediate.
   

Nice to have

• Experience testing React Native applications;
• Familiarity with automation tools (Playwright, Cypress, Appium);
• Experience with proxy/debug tools (e.g., Charles, Fiddler);

Client

Our client is one of the world’s top 20 investment companies headquartered in Great Britain, with branch offices in the US, Asia, and Europe.

Project overview

The company’s IT environment is constantly growing, with around 30 programs and more than 60 active projects. They are building a data marketplace that aggregates and analyzes data from multiple sources such as stock exchanges, news feeds, brokers, and internal quantitative systems.

As the company moves to a new data source, the main goal of this project is to create a golden source of data for all downstream systems and applications. The team is performing classic ELT/ETL: transforming raw data from multiple sources (third-party and internal) and creating a single interface for delivering data to downstream applications.

Position overview

We are looking for a Data Engineer with strong expertise in DBT, Snowflake, and modern data engineering practices. In this role, you will design and implement scalable data models, build robust ETL/ELT pipelines, and ensure high-quality data delivery for critical investment management applications.

Responsibilities

• Design, build, and deploy DBT Cloud models.
• Design, build, and deploy Airflow jobs (Astronomer).
• Identify and test for bugs and bottlenecks in the ELT/ETL solution.

Requirements

• 5+ years of experience in software engineering (GIT, CI/CD, Shell scripting).
• 3+ years of experience building scalable and robust Data Platforms (SQL, DWH, Distributed Data Processing).
• 2+ years of experience developing in DBT Core/Cloud.
• 2+ years of experience with Snowflake.
• 2+ years of experience with Airflow.
• 2+ years of experience with Python.
• Good spoken English.

Nice to have

• Proficiency in message queues (Kafka).
• Experience with cloud services (Azure).
• CI/CD knowledge (Jenkins, Groovy scripting).

     We are looking for an experienced Media Buyer / Influencer Marketing Manager to drive high-quality traffic acquisition through influencers and content creators across Europe Tier-1 markets.

    
Responsibilities:

• Identify, recruit, and manage influencers across YouTube, Twitch, TikTok, and Instagram
• Manage the full influencer lifecycle: outreach, negotiation, briefing, execution
• Launch and scale influencer campaigns using CPA / RevShare / Hybrid models
• Ensure full compliance with local regulations (18+, responsible gambling, country-specific rules)
• Monitor and optimize performance metrics: CPA, FTD, ROI, LTV
• Test new influencer formats and acquisition channels
• Collaborate with marketing, product, analytics, and affiliate teams
• Prepare reports and optimize campaigns based on performance data

Requirements:

• 2+ years of experience as a Media Buyer / Influencer Manager
• Hands-on experience in iGaming / Betting / Crypto / Nutra
• Proven experience working with Europe Tier-1 markets
• Strong understanding of performance KPIs: CPA, FTD, ROI, Retention
• Solid negotiation and communication skills
• Knowledge of compliance and regulatory restrictions in Europe
• Strong analytical mindset
• English — Upper-Intermediate

 
Nice to Have:

• Existing influencer database
• Knowledge of local languages (DE / IT / ES / FR)
• Experience with long-term influencer partnerships
• Understanding of tracking and postback logic

What We Offer:

• Competitive fixed salary + performance bonuses
• Flexible remote format
• Work with Tier-1 markets and a strong product
• Fast decision-making and minimal bureaucracy
• Opportunity to shape influencer marketing strategy
  
  We strive to be the best among competitors and successfully achieve our goals!

   Join the team of talents and shape the future of the iGaming industry with us!🚀

About the role:

We are seeking a full-stack .NET  / Angular Software Engineer. 

You will develop a product in the Healthcare domain using .NET and Angular, using the latest technologies.

What professional skills are important to us?

• 3+ years of professional experience with .NET and Angular
• Strong proficiency in C#, Entity Framework, and LINQ.
• Deep knowledge of TypeScript, RxJS, Angular CLI
• Proven ability to build RESTful APIs and work with HTTP protocols
• Hands-on experience with HTML, CSS, JavaScript, and TypeScript
• Proficient in creating responsive user interfaces for mobile, desktop, and tablet using Flexbox and CSS Grid
• Experience with Azure SQL or MS SQL Server, Entity Framework and relational databases in general
• Strong problem-solving skills and attention to detail
• Ability to work collaboratively in a team environment
• Proactive mindset

Will be a plus

• Experience with Azure cloud (App Service, Azure Functions, Key Vault, etc.)
• Experience with Stripe API
• Tailwind CSS
• Experience in the Healthcare domain

About Project

We’re building a cutting-edge telemedicine platform for the US client.

What will you do on the project?

• Design, develop, and maintain software applications using .NET and Angular.
• Collaborate with stakeholders to understand project requirements and objectives.
• Write clean, well-documented, and efficient code.
• Participate in code reviews to ensure code quality and adherence to best practices.
• Debug and troubleshoot software issues, providing effective solutions.
• Stay current on industry trends and emerging technologies.

We offer

• Full Remote
• No bureaucracy
• Collaborative and supportive work environment
• Career growth and development opportunities

US Company is searching for a couple of Senior AI Engineers into a complex, enterprise-level project for building sophisticated Agentic Systems, Adaptive RAG engines, capable of autonomous research to solve complex, real-world problems. Interesting project with cutting edge technologies, distributed team, full-time, an official contract. Remote work, flexible schedule.

Brief project description:

• The product is SaaS, which allows multiple functions for sustainability & operational risk management. The project is dedicated for developing of AI Center of Excellence.

Key areas of responsibility:

• Platform Engineering: Build and enhance scalable, reusable AI services (e.g., "Adaptive RAG Engine," "Text-to-SQL Service," and "Agentic Runtime") that product teams can easily integrate.
• Technical Contribution: Collaborate with principal engineers and architects. Participate in code reviews, write robust tests, and help drive the adoption of engineering best practices (CI/CD for AI, evaluation).
• Agentic Innovation: Develop and implement multi-agent systems capable of complex reasoning, planning, tool use, and self-correction (using frameworks like LangGraph or PydanticAI or Databrics' Agent Brics).
• Data Engineering: Load datasets and knowledge sources from external systems. Shape and transform data to optimize it for Hybrid or Semantic Search, providing the best possible knowledge context to LLMs.
• Production Readiness: Help move prototypes to production with a focus on latency, cost optimization, and reliability. Implement robust evaluation pipelines (LLM-as-a-Judge) to measure quality and prevent regression.
• Collaboration & Enablement: Partner with product teams to implement their AI roadmaps. Translate business requirements into concrete technical implementations.

Required skills (at least one or more for each category):

• Professional Experience: At least 5 years of professional experience in software development or Data Science.
• Education: Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, Physics, or a related natural science field.
• Python Expertise: At least 5 years of hands-on experience with Python, writing clean, maintainable, and production-ready code.
• Strong Software Engineering Foundation: distributed systems, API design (FastAPI), and cloud architecture.
• Data Engineering Expertise: Data Engineering and Big Data (DeltaLake, Databrics etc.) experience are a big plus.
• GenAI Engineering Experience: Hands-on experience building production RAG systems. Chunking strategies, hybrid search (dense + sparse), re-ranking, and context management.
• Agentic Workflow Experience: You have experience building systems where LLMs use tools, maintain state, and execute multi-step plans. You are familiar with the challenges of loops, recursion, and hallucination mitigation.

Tech Stack:

• Languages: Python, TypeScript
• AI Frameworks: LangChain/LangGraph, Pydantic AI, MosaicAI
• Models: Azure OpenAI (GPT-4o, o1), Open Source LLMs (Llama 3, Mistral)
• Infrastructure: Azure AI Search, Azure Container Apps, Delta Lake, Vector Databases like Databrics Vector Search.

Work conditions:

• Distributed team, remote work.
• Kanban or scrum approach, 5-6 team members / team.
• Full-time (40 hours per week).
• Official contract: salary, sick-leave days, holidays, vacations.

Hiring process:

• Step 1 - preliminary interview (main questions) - 20 mins
• Step 2 - internal tech interview (tech questions) - 40-50 mins
• Step 3 - tech interview with team leader and architect - 1 hour