Jobs at Djinni

About Digis

We are a European IT company with 200+ specialists delivering SaaS platforms, enterprise solutions, and cloud-native products for clients worldwide. We focus on building strong, long-term teams and supporting continuous professional growth.

About the Project

A fast-growing SaaS company developing a Unified API platform that helps software vendors connect their products with financial and business tools.

The platform enables seamless data synchronization across accounting, finance, and other SaaS systems, helping businesses reduce data silos and expand their integration capabilities. You will contribute to the product’s development, architecture, and future technical direction.

Responsibilities

• Scale and optimize the case detection scanner to improve its performance and reliability.
• Decompose the existing API into multiple independent and scalable services.
• Set up a local development environment for emulating Google Pub/Sub and Cloud Run.
• Design and develop an integration connector for Sage.

Requirements

• 5+ years of professional experience with Python.
• 2+ years of hands-on experience with FastAPI or Flask.
• 1+ year of experience with SQL.
• Upper-Intermediate English or higher.

Why This Project Is Exciting

• Autonomy: A results-oriented environment built on trust.
• Product Impact: An opportunity to contribute to the product and its technical direction.
• Stable and Growing Product: Work on an established SaaS platform with international clients.
• Professional Growth: Gain experience with financial integrations and scalable API solutions.

We Offer

• 20 paid vacation days per year.
• 5 paid sick days per year with no medical documentation required.
• A personalized development plan supported by individual professional growth goals.
• Compensation for professional and subject-matter training.
• Necessary work equipment and workplace setup support, if needed.
• Assistance with selecting English courses and compensation for course fees.
• A horizontal organizational structure with open and transparent communication.
• Opportunities to switch between projects and technologies within the company.
• Accounting support.

• • Free access to corporate psychologist services.

WHO WE ARE

We are Edge Solutions Lab, a team of engineers with a strong background in product development of edge solutions and data platforms. Our legacy is grounded in the successful execution of the Hivecell product. We're committed to helping companies implement their product strategies and turn data into real, measurable value.

WHO WE ARE LOOKING FOR

We are seeking an experienced Data Scientist to join an exciting project for our client, Flow — a forward-thinking company transforming the way people live, work, and connect. You will work on real-world data challenges at the intersection of edge computing and data platforms, turning complex, large-scale data into models and insights that directly shape Flow's digital ecosystem and drive measurable product value.

KEY RESPONSIBILITIES

• Design, develop, and deploy machine learning models and statistical solutions that address real business problems
• Collaborate with product, engineering, and domain teams to translate requirements into data-driven solutions
• Conduct exploratory data analysis and feature engineering on large, complex datasets
• Build and maintain scalable data pipelines to support model training, evaluation, and inference
• Define and track model performance metrics; monitor models in production and drive continuous improvement
• Communicate findings, methodologies, and results clearly to both technical and non-technical stakeholders

• Contribute to the team's data science best practices, tooling, and documentation

   

WHAT YOU BRING ALONG

• 4+ years of professional experience as a Data Scientist or in a similar role
• Strong proficiency in Python and core data science libraries (pandas, NumPy, scikit-learn, etc.)
• Solid understanding of machine learning algorithms, statistical modeling, and model evaluation techniques
• Experience with deep learning frameworks (TensorFlow or PyTorch) is expected at this level
• Hands-on experience deploying models to production environments (REST APIs, containerization, cloud platforms)
• Proficiency with SQL and working with relational or distributed data stores
• Familiarity with MLOps practices: experiment tracking, model versioning, monitoring (e.g., MLflow, Weights & Biases)
• Experience working with cloud platforms such as AWS, GCP, or Azure
• Practical experience leveraging AI-powered tools (e.g., GitHub Copilot, ChatGPT, or similar) to enhance productivity and accelerate development workflows
• Working knowledge of: graph databases (Memgraph, Neo4j, or similar); edge inference runtimes (ONNX Runtime, llama.cpp, ExecuTorch); gradient boosting frameworks (XGBoost, LightGBM, CatBoost); time-series analysis on IoT or sensor data streams; Snowflake and dbt-based analytics pipelines
• English proficiency at B2 level or higher — able to communicate effectively in a professional setting, both written and spoken

WILL BE A PLUS

• Experience with edge computing or IoT data streams
• Knowledge of time-series analysis and anomaly detection
• Familiarity with data orchestration tools (Airflow, Prefect, or similar)
• Contributions to open-source projects or published research
• Experience in a product-focused or startup environment

SOFT SKILLS

• Strong analytical thinking with a pragmatic, solution-oriented mindset
• Ability to work independently and take ownership of tasks end-to-end
• Clear and concise communication — able to explain complex concepts to non-technical audiences
• Collaborative attitude and comfort working in cross-functional teams
• Intellectual curiosity and a continuous drive to learn and improve
• Comfort with ambiguity and the ability to prioritize effectively in a fast-paced environment

⭐️ About the Company

We are hiring for our partner — an early-stage iGaming startup developing two ambitious brands for both crypto and fiat markets.

The team consists of experienced iGaming professionals with over 10 years of industry expertise in building, launching, and scaling successful products globally. You’ll work alongside seasoned leaders with hands-on experience in bringing iGaming products to market and driving their growth.

As the company continues to grow, we’re looking for an experienced Senior Content Manager who will own and shape the entire content ecosystem across marketing, product, CRM, customer support, and affiliate channels. This role is ideal for someone who combines outstanding writing skills with strategic thinking and deep iGaming expertise.

This is a unique opportunity to join at the early stage of the company’s journey and make a real impact by defining the brand voice, building scalable content processes, and creating a world-class content experience from the ground up.

♠️ Position Details

Location: Remote 

Employment Type: Full-time

What You’ll Do

• Own and manage content across all customer-facing channels.
• Create, edit, and maintain high-quality content for the company website, landing pages, promotional pages, banners, and marketing campaigns.
• Develop engaging email content for CRM and lifecycle marketing campaigns.
• Create clear and user-friendly content for Customer Support, including FAQs, Help Center articles, and knowledge base materials.
• Write and maintain Terms & Conditions, bonus rules, promotional mechanics, responsible gaming content, and other regulatory documentation.
• Develop content and marketing materials for affiliate partners.
• Collaborate closely with Marketing, CRM, Product, Design, Customer Support, Compliance, and Affiliate teams to ensure content consistency.
• Establish editorial guidelines, content standards, tone of voice, and review processes.
• Optimize content for user experience, engagement, and conversion while maintaining compliance with regulatory requirements.
• Continuously improve content quality based on business goals, analytics, and customer feedback.

What We’re Looking For

• 5+ years of experience in Content Management, Content Marketing, Copywriting, or a similar role.
• Strong experience in the iGaming industry is required.
• Excellent English writing and editing skills (C1+).
• Proven experience creating content for websites, CRM campaigns, landing pages, promotional materials, customer communications, and affiliate programs.
• Strong understanding of UX writing principles and customer journey communication.
• Experience working with multiple stakeholders in a fast-paced environment.
• Ability to balance creativity with business objectives and compliance requirements.
• Exceptional attention to detail and outstanding organizational skills.

Nice to Have

• Experience launching content for new iGaming products.
• Knowledge of SEO best practices.
• Experience with CMS platforms and localization workflows.
• Understanding of Responsible Gaming and regulatory compliance.
• Experience working with AI-powered content tools.

What We Offer

• Opportunity to shape the entire content strategy for a fast-growing international iGaming company.
• High-impact role with real ownership and autonomy.
• Collaboration with experienced Product, Marketing, CRM, Design, and Leadership teams.
• Dynamic startup environment where your ideas have a direct influence on the product and customer experience.
• Competitive compensation and excellent opportunities for professional growth.

Workload: Full-time (100%)
Start: TBD
Duration: Long-term
Location: EU, CIS countries, Georgia
Rate: Up to 12 USD/hour
Language: English

About the Role

We are looking for a Middle QA Automation Engineer (JavaScript) to join a long-term product team developing a high-load digital platform.

You will be responsible for building and maintaining automated test suites, validating complex business workflows, and ensuring product quality across web applications and APIs. This role requires strong JavaScript automation skills and close collaboration with developers, product managers, and other QA engineers.

Working hours (Armenia time):

• 12:00–21:00 or
• 13:00–22:00

Important: We consider only candidates who are full-time employees of our partners. This is a long-term engagement with no defined end date. At the moment we are collecting candidates, and the project start date has not yet been confirmed.

Responsibilities

• Develop, maintain, and improve automated UI and API tests using JavaScript.
• Maintain and extend existing automation frameworks.
• Design, execute, and maintain regression test suites.
• Perform API testing and validate backend functionality.
• Create and maintain test plans, test cases, and defect reports.
• Investigate defects and work closely with developers to resolve issues.
• Participate in sprint planning, estimations, and release activities.
• Contribute to continuous improvement of QA processes and automation coverage.
• Collaborate with cross-functional teams in an Agile environment.

Required Skills

Must-Have

• 3+ years of commercial QA experience.
• Strong commercial experience with JavaScript.
• Solid experience in test automation.
• Experience with UI and API test automation.
• Basic knowledge of Cucumber or another BDD framework.
• Good understanding of:
  • HTTP
  • REST APIs
  • Postman (or equivalent API tools)
• Experience creating and maintaining:
  • Test plans
  • Test cases
  • Defect reports
• Daily experience with Git.
• Confidence working with and extending existing automation frameworks.
• English sufficient for day-to-day communication with an international team.

Nice to Have

• Commercial experience with Cucumber/Gherkin.
• AWS or another public cloud platform.
• Docker.
• Basic SQL.
• Chrome DevTools.
• Load or performance testing.
• Experience with high-load products in domains such as:
  • Streaming
  • Payments
  • Subscription platforms
• Experience using AI tools (ChatGPT, GitHub Copilot, Cursor, Claude, etc.) in test automation workflows.

We Offer

• Long-term international project.
• Stable full-time workload.
• Fully remote collaboration.
• Professional and experienced engineering team.

• Opportunity to work on a modern product with mature QA processes.

   

We're looking for a Product Adoption Analytics Lead to help turn product usage data into actionable insights that drive user adoption and measurable business impact.

Help shape how thousands of people adopt digital products

Do you enjoy digging into product data, uncovering why users behave the way they do, and turning insights into actions that improve adoption? If you're passionate about analytics that drive real product decisions—not just reporting metrics—we'd love to meet you.

At Beetroot, we're building a team supporting the digital transformation of a global enterprise. As part of the Product Adoption team, you'll work with Product, Learning, Internal Communications, and Engineering to ensure digital products aren't just launched—they're successfully adopted and create lasting value for users.

You'll own the analytics strategy behind product adoption, helping teams understand what drives engagement, where users struggle, and which initiatives truly move the needle.

What you'll do in this role  

• Own product adoption metrics and define KPIs that measure meaningful user engagement.
• Build dashboards and reporting that help teams make data-driven decisions.
• Analyze user journeys, activation funnels, retention, and feature adoption to identify opportunities for improvement.
• Diagnose why adoption stalls and provide clear recommendations to Product and cross-functional teams.
• Partner with Learning, Community, Communications, and Product teams to measure the effectiveness of adoption initiatives.
• Design experiments and measure the impact of new campaigns, onboarding experiences, and product improvements.
• Combine quantitative analytics with qualitative user feedback to uncover actionable insights.
• Measure business value beyond usage, including efficiency gains, user satisfaction, and value realization.
• Present insights and recommendations to stakeholders in a clear, compelling way.

We're looking for

• 5+ years of experience in Product Analytics, Growth Analytics, Product Insights, or Digital Analytics.
• Experience analyzing product usage, user behavior, activation, retention, and adoption metrics.
• Strong experience with product analytics platforms and BI tools such as Tableau, Power BI, Mixpanel, Amplitude, or similar.
• Experience building dashboards, defining KPIs, and translating data into business recommendations.
• Strong understanding of product-led growth metrics and experimentation.
• Experience working with Product Managers and cross-functional teams to improve product adoption.
• Excellent analytical thinking and data storytelling skills.
• Ability to communicate complex findings to both technical and business stakeholders.
• Upper-Intermediate English or higher.

How to knock our socks off

• Experience with enterprise SaaS products.
• Experience measuring AI product adoption.
• Familiarity with A/B testing and experimentation frameworks.
• Experience with user research or customer insights.
• Knowledge of organizational analytics or workplace analytics.
• Experience working in regulated industries.
• Naming five or more dishes that include beetroot besides borshch.

✔ Not checking every box?

This job looks very exciting, but you hesitate to apply because of the confidence gap? Reach out to us anyway! Beetroot is an inclusive workplace that considers all applicants. We’re committed to openness — promoting equality and fostering an environment where different backgrounds, ideas, and experiences are not just accepted, but embraced. So let’s discover together whether we could be an excellent fit for each other.

Please send us your CV in English, and we’ll be happy to discuss your application further.

We are looking for a talented Salesforce Implementer to join our CRM team. 

The role includes:

• Implementing and customizing Salesforce processes based on business requirements.
• Collaborating with all relevant stakeholders across the organization to optimize workflows and ensure alignment.
• Managing permissions, providing user support and building reports and dashboards.
• Participating in cross-organizational projects to enhance and expand system functionality.

Requirements:

• At least 2 years of hands-on experience with Salesforce implementation (including Sales Cloud / Service Cloud).
• Strong business and process understanding.
• Buniness Analysis experience
• Experience with Flows, Validation Rules, and Reports.
• Advantage: Experience with APIs, integrations, and complementary tools.
• Good command of English.

What We Offer:

• A dynamic and innovative work environment.
• Opportunities for professional growth in CRM and automation.
• Excellent conditions and work-life balance

ORIL is seeking a highly skilled Senior AI/ML Engineer to architect and scale our mission-critical, AI-driven data platform. At the core of our engineering culture is a steadfast commitment to performance, reliability, and uncompromising data integrity. The ideal candidate is an autonomous problem-solver who thrives in an agile environment, takes end-to-end ownership of complex systems, and pairs a bias for action with a dedication to robust, stable deployments.

 

Project:

Our client is a US-based innovator providing a centralized data platform for multi-family real estate. The product uses BI and AI analytics to help operators optimize marketing spend and operational efficiency. A core AI feature of this platform is an intelligent chatbot designed to help users seamlessly manage workflows, query data, and surface actionable insights.

What are we looking for?

• 5+ years of experience building and owning production-grade backend and ML systems in Python;
• Proven experience designing and deploying complex, multi-step LLM workflows and conversational agents (chatbots) using frameworks like LangChain or LangGraph;
• Deep understanding of RAG (Retrieval-Augmented Generation) pipelines: from chunking and embedding strategies to retrieval optimization and prompt engineering;
• Experience with "Text-to-SQL" or translating natural language into complex data queries, as the chatbot will interact heavily with BI analytics;
• Experience with LLM observability, tracing, and evaluation frameworks (e.g., Langfuse, Braintrust, Arize Phoenix, Ragas, or DeepEval);
• Experience with systematic prompt lifecycle management, versioning, and algorithmic optimization (e.g., DSPy);
• Experience profiling and minimizing time-to-first-token (TTFT) and overall response latency for real-time conversational agents;
• Strong analytical skills with the ability to explore datasets, identify patterns, measure outcomes, and derive actionable insights; 
• Familiar with data cleaning and normalization techniques to ensure accurate, consistent, and reliable data for analysis and AI-driven applications;
• Curious about how multi-family real estate works and motivated to understand the key metrics behind the business (marketing spend, operational efficiency etc.) to better tune AI outputs;
• English level: Upper-Intermediate (B2+).

What will you do?

• Design, develop, and own the core AI architecture powering the platform's intelligent chatbot and automated BI insights;
• Build and refine advanced RAG pipelines to ensure the chatbot surfaces accurate;
• Develop robust AI agents capable of managing platform processes and executing complex operational tasks on behalf of the user;
• Set up and maintain automated CI/CD gates that run LLM evals and integration tests;
• Maintain a high shipping tempo, continuously iterating on chatbot features based on user feedback and internal telemetry;
• Diagnose and fix complex issues in the AI pipeline using advanced tracing and observability tools;
• Work closely with data engineers and product managers to refine the technical roadmap and ensure the AI seamlessly integrates with the broader BI platform.

We Offer:

Working conditions:

• Ability to grow with an ambitious niche-focused company
• Competitive compensation;
• Accounting Support Services;
• Flexibility to work from anywhere (fully remotely or in our office in Lviv);
• Comprehensive day-off policy, including public holidays and special events
• Education & certification budget + corporate education events and trainings
• Wellness budget
• The environment and culture that promotes personal and team development.

Application Process:

• Initial Screening: Call with Recruiter.
• Technical Interview.
• Client Interview.
   

Ready to build the future of AI-driven real estate operations? Apply now and let’s get to work!

Ми шукаємо AI Engineer, який підсилить нашу команду розробки штучного інтелекту. Це роль не про "просте підключення APІ чи поверхеневий інжиніринг запитів", а про глибоку інженерну й системну рооту на інтеграцію LLM, розробкою аріхектурних даних.
Якщо ти зацікавлений у даній позиції, читай нижче опис по вимогам/задачам, та якщо ти відповідаєш вимогам, залишай резюме!

Вимоги до досвіду:

• досвід комерційної розробки: не менше 3 років;
  Інструменти та технології: Python, REST API, OpenAPI/Swagger, JSON, Docker, PostgreSQL/MongoDB, Redis, CI/CD;
   
• впевнене володіння Python як основною мовою розробки;
  Необхідна екосистема Python: Python 3.10+, FastAPI, Flask (як плюс), Pydantic, Pydantic AI, asyncio, aiohttp/httpx, requests, SQLAlchemy, Alembic, Celery/RQ, pytest, unittest, mypy, ruff, black, isort, pre-commit, logging, structlog, pathlib, typing, dataclasses;
   
• досвід розробки backend-сервісів, API та інтеграцій;
  Інструменти та технології: FastAPI, REST API, WebSockets, SSE, OpenAPI/Swagger, Postman, JSON Schema, PostgreSQL, Redis, SQLAlchemy, Docker, docker-compose, GitHub Actions/GitLab CI;
   
• обов'язкове вміння самостійно писати чистий, підтримуваний та архітектурно коректний код без використання додаткових ШІ-інструментів (AI tools);
  Необхідні знання: OOP (ООП), SOLID, DRY, KISS, YAGNI, dependency injection, clean architecture, layered architecture, design patterns, error handling, logging, unit/integration testing, code review;
   
• досвід роботи з Docker та базовою інфраструктурою розгортання;
  Інструменти та технології: Docker, Docker Compose, Dockerfile, volumes, networks, multi-stage builds, environment variables, secrets, logs;
   
• досвід розробки ШІ-продуктів (AI products) на базі пропрієтарних моделей;
  Інструменти та технології: OpenAI API, Anthropic Claude API, Google Gemini API, OpenRouter, LiteLLM;
   
• досвід розробки ШІ-продуктів на базі local-hosted моделей;
  Інструменти та технології: vLLM, Ollama, llama.cpp, Text Generation Inference, Hugging Face Transformers, Hugging Face Hub, sentence-transformers, PyTorch, tokenizers, GGUF, AWQ, GPTQ, quantization, batching, streaming inference;
   

• досвід роботи з vLLM / llama-серверами та налаштуванням параметрів інференсу;
  Необхідні знання: context window, max tokens, temperature, top_p, top_k, repetition penalty, stop sequences, seed, batch size, concurrency, latency, throughput, tokens/sec, GPU memory, KV cache, cost per request;

  Інструменти: vLLM, Ollama, llama.cpp, TGI, Prometheus/Grafana (як плюс);
   

• досвід підбору моделей під робочі завдання;
  Необхідні знання: порівняння моделей за якістю, вартістю, latency, context window, multilingual quality, tool calling, structured output, safety, hallucination rate;
  Інструменти: OpenRouter, LiteLLM, Hugging Face Leaderboards, LMSYS/Chatbot Arena (як орієнтир), Langfuse, LangSmith, PromptFoo, DeepEval, Ragas;
   
• досвід роботи з vector RAG;
  Інструменти та технології: LangChain, LangGraph, LlamaIndex, Haystack, Qdrant, Weaviate, Pinecone, Chroma, FAISS, pgvector, Elasticsearch/OpenSearch, BM25, hybrid search, re-ranking;
  Необхідні знання: chunking strategy, embeddings, metadata filtering, query rewriting, retrieval evaluation, rerankers, grounding, citations, hallucination control;
   
• досвід роботи з graph RAG / knowledge graph RAG;
  Інструменти та технології: Neo4j, NetworkX, GraphRAG, LangChain Graph QA, LlamaIndex Knowledge Graph, RDF/SPARQL (як плюс);
  Необхідні знання: entity extraction, relationship extraction, graph traversal, semantic links, hybrid retrieval, context assembly;
   
• досвід побудови агентних систем;
  Інструменти та технології: LangGraph, LangChain Agents, LlamaIndex Agents, CrewAI, AutoGen, Semantic Kernel, Pydantic AI, OpenAI function calling / tool calling, Anthropic tool use, MCP;
  Необхідні знання: ReAct, planner-executor, supervisor pattern, multi-agent orchestration, memory, tool routing, state management, fallback logic, human-in-the-loop, guardrails;
   
• досвід роботи з AI workflow engine, обов'язково n8n;
  Інструменти та технології: n8n, webhook nodes, HTTP Request node, AI Agent node, credentials, triggers, queues, error workflows, custom nodes, workflow versioning;
   
• досвід побудови evaluation та observability для LLM-продуктів;
  Інструменти та технології: Langfuse, LangSmith, PromptFoo, Ragas, DeepEval, TruLens, Arize Phoenix, Weights & Biases Weave, Helicone, OpenTelemetry;
  Метрики: accuracy, groundedness, relevance, faithfulness, hallucination rate, refusal rate, latency, cost per request, token usage, context utilization, regression rate;
   
• розуміння інформаційної безпеки при роботі з ШІ;
  Необхідні знання: PII, sensitive data, prompt injection, data leakage, secrets management, RBAC, audit logs, sandboxing tools, vendor data policies;
   
• англійська мова: Не нижче Upper-Intermediate. Необхідна для читання документації, роботи з API, аналізу моделей, технічного листування та підготовки design docs.
   

Буде плюсом:

• знання Node.js;
• глибокі знання context engineering;
• глибокі знання NLP;
• досвід fine-tuning моделей.

Основні задачі:

• розробляти production-ready ШІ-сервіси, backend-компоненти, API та інтеграції для внутрішніх і зовнішніх ШІ-продуктів компанії;
• писати чистий, підтримуваний, тестований та архітурно коректний код на Python;
• проєктувати та реалізовувати сервіси на Python/FastAPI для роботи з LLM, RAG, агентними системами та workflow-автоматизацією;
• інтегрувати пропрієтарні моделі через API: OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, Mistral, OpenRouter та інші затверджені компанією сервіси;
• піднімати, налаштовувати та підтримувати local-hosted моделі через vLLM, Ollama, llama.cpp, TGI або аналогічні інструменти;
• підбирати моделі під конкретні бізнес-завдання з урахуванням якості, швидкості, вартості, latency, context window, доступності, безпеки та стабільності результату;
• налаштовувати параметри інференсу моделей: temperature, top_p, max tokens, context window, batching, streaming, concurrency, rate limits, retry logic;
• реалізовувати vector RAG-пайплайни: завантаження даних, очищення, chunking, embeddings, індексація, retrieval, reranking, генерація відповіді, оцінка якості;
• реалізовувати graph RAG / knowledge graph RAG-підходи для завдань, де потрібна робота зі зв'язками між сутностями, документами, користувачами, договорами, клієнтами або бізнес-процесами;
• работувати з векторними базами даних: Qdrant, Weaviate, Pinecone, Chroma, FAISS, pgvector;
• работувати з графовими базами та інструментами: Neo4j, NetworkX, GraphRAG-підходи;
• будувати агентні системи: single-agent, multi-agent, planner-executor, supervisor, tool-using agents, human-in-the-loop flows;
• реалізовувати tool/function calling, structured outputs, JSON schema validation, retry/fallback logic та безпечну обробку відповідей моделей;
• інтегрувати агентні системи з корпоративними інструментами: CRM, бази знань, документи, пошта, календар, Slack/Teams, Jira, Confluence, Google Drive, Microsoft 365, внутрішні API;
• проєктувати та впроваджувати AI workflow automation на базі n8n: webhooks, triggers, AI Agent nodes, HTTP nodes, credentials, error workflows, черги, інтеграції з зовнішніми системами;
• розробляти eval/regression-фреймворки для перевірки якості LLM-відповідей, промптів, RAG та агентних сценаріїв;
  налаштовувати observability та моніторинг ШІ-систем: Langfuse, LangSmith, PromptFoo, Ragas, DeepEval, Arize Phoenix, Helicone, OpenTelemetry;
• контролювати ключові метрики: latency, cost per request, token usage, groundedness, hallucination rate, relevance, accuracy, refusal rate, error rate, regression rate;
  проводити технічні експерименти з моделями, промптами, RAG-підходами, агентними патернами та параметрами інференсу;
• брати участь у завданнях з fine-tuning / model adaptation за наявності потреби: підготовка датасетів, навчання, валідація, порівняння результатів з baseline;
• спільно з Prompt Spec Engineer впроваджувати prompt/spec architecture в код, забезпечувати версіонування промптів, трасування, тестування та контроль якості;
• спільно з Product Manager переводити продуктові вимоги в технічну архітектуру, API-контракти, схеми даних та план реалізації;
• забезпечувати безпеку ШІ-сервісів: захист від prompt injection, контроль доступу, фільтрація чутливих даних, логування, аудит, безпечне зберігання секретів;
• підтримувати сервіси в production: аналізувати інциденти, виправляти помилки, оптимізувати продуктивність, знижувати вартість запитів, покращувати стабільність.

Що компанія пропонує:

• працюємо в сучасному та стильному офіс в ближньому центрі;
• безкоштовний корпоративний трансфер (дім-офіс-дім);
• забезпечуємо якісним та смачним кейтерингом прямо в офісі;
• корпоративні заняття йогою та медитацією + корпоративні знижки на здорове харчування;
• WELCOME bonus - фінансовий бонус від компанії на початку співпраці;
• релокейт пакет (оплата квитків у Львів + перший та останній місяць + рієлторські послуги).

Akurateco is a payment orchestration and white-label payment gateway provider. The platform integrates 250+ payment providers globally and enables businesses to operate a fully brandable, PCI DSS-compliant gateway, managing multiple payment channels within a single ecosystem.

Join our team as a Senior Business/System Analyst and make a real impact! We are looking for a sharp, proactive professional who thrives at the intersection of business and technology.
 

Requirements:

• At least 5 years of hands-on experience in business analysis, particularly in the fintech, financial services, or payment processing industries.
• Proven expertise in analyzing business needs and translating them into clear, actionable requirements (user stories, acceptance criteria, risk assessments, and dependency mapping).
• Strong understanding of system analysis principles, including data flows, architecture components, and API interactions.
• Solid background in Agile methodologies (JIRA, Confluence), with experience in backlog refinement, sprint planning, and documentation.
• Postman Experience: Collection Creation, Add Requests, Organize Workflows, Add Scripts.
• Exceptional analytical, problem-solving, and communication skills, with a focus on stakeholder management.
• English Upper-Intermediate with excellent written and verbal communication skills.

Nice to Have:

• Experience with APIs, system architecture, or databases is a bonus.

Key Responsibilities:

• Capture, analyze, and validate business requirements by working closely with internal and external stakeholders.
• Lead discovery sessions, workshops, and requirement-gathering meetings to align technical solutions with business objectives.
• Analyze third-party API documentation and create integration specifications for back-end developers.
• Maintain clear and detailed documentation, including use cases, process flows, UML diagrams, and wireframes.
• Define and document structured functional and non-functional requirements, ensuring clear prioritization based on business needs, feasibility, and risk.
• Act as a bridge between business and technology, translating business needs into technical specifications.
• Collaborate with solution architects and developers to refine system requirements and ensure technical feasibility.
• Assist in functional testing and validation to ensure that requirements are met before deployment.

What we offer:

• Competitive compensation depending on experience and skills;
• Remote-first work environment with flexible working hours;
• 20 paid vacation days annually for rest and recharge;
• 10 days of sick leave, available as needed;
• Corporate English and Spanish classes.

We’re looking for a Copywriter (for Social Media) to strengthen our Marketing Team and help us grow and prosper!

Location: Ukraine preferred, fully remote.
Engagement: full-time.

 

Areas of Responsibility:

• Develop and execute comprehensive social media strategies aligned with campaign themes;

• Manage daily posting schedules across LinkedIn, Instagram, Facebook, X, YouTube, and Reddit with platform-specific optimization; 

• Create social media content calendar coordinating with Content Manager, Video Editor, and Paid Media Manager; 

• Adapt long-form content (blogs, whitepapers, case studies, videos) into engaging social posts tailored to each platform; 

• Develop platform-specific content strategies recognizing the unique audience and engagement patterns of each channel; 

• Plan and execute social media campaigns supporting launches, events, and lead generation initiatives.  

Required Qualifications:

•  2-3+ years of social media management experience in B2B technology, SaaS, or enterprise software; 
• Proven track record managing LinkedIn as primary B2B channel with demonstrated follower growth and engagement; 
• Expert knowledge of all major social platforms (LinkedIn, YouTube, Instagram, Facebook, X, Reddit) and their best practices; 
• Experience creating and managing social media content calendars and posting schedules; 
• Understanding of social media analytics and ability to translate data into actionable insights; 
• Visual content creation skills with knowledge of Canva, Adobe Creative Suite, or similar tools; 
• Strong written and verbal communication skills (English required; French is a plus). 

Nice to Have: 

• Experience in cloud computing, AWS, DevOps, or technical B2B social media marketing; 
• Background managing social media for regulated industries (healthcare, financial services); 
• Proficiency with social media management tools (Hootsuite, Buffer, Sprout Social, or similar); 

What we offer:

• Paid vacation — 16 days per year;
• Documented (16 days) and undocumented (5 days) sick leave;
• Leave for significant life events;
• Compensation for medical insurance (for our employees based in UA);
• Flexible working hours (start at 8.00-11.00 o'clock);
• Weekends according to the Ukrainian/Local calendar;
• Engaging projects with opportunities for career growth;
• Certifications, Udemy courses;
• Corporate events, team-building activities,
• Gifts and recognition from the company;
• A friendly, open, and supportive team culture without excessive bureaucracy.

DID Global is an international company providing premium IP telephony services for businesses. We help companies build stable communication systems, scale their operations, and increase sales through efficient telecom solutions.

Since 2022, we have grown from a startup into an international business with over 100 top-tier professionals on our team. We are actively entering new markets, attending key international conferences, and building partnerships that help shape the VoIP industry.

At DID Global, you’ll find transparent communication, strong support, and real opportunities for professional growth.

If you are results-driven and value freedom in decision-making, let’s win together.

Who We’re Looking For

We are seeking an experienced Affiliate Manager who will help us scale our partner network across Tier-1/2 regions and local markets.
The ideal candidate knows how to build long-term relationships, has excellent negotiation skills, and is ready to represent the company at international events.
 

Your Responsibilities

• Actively search for and onboard new partners (traffic affiliates, CRM integrators, and agents working with call centers).
• Maintain and develop relationships with existing affiliates.
• Negotiate and agree on cooperation terms.
• Present the affiliate offer and partnership benefits of DID Global.
• Analyze partner performance, traffic quality, and key metrics; prepare reports.
• Represent DG Partners at industry events, exhibitions, and international conferences.
• Work with CRM systems and analytics tools to optimize partner acquisition strategies.
   

Our Ideal Candidate

• Experience in affiliate management (in iGaming, FinTech, SaaS, or B2B Telecom) will be considered a significant advantage.
• Understands monetization models (CPA, RevShare, Hybrid).
• Possesses strong negotiation and relationship-building skills.
• Demonstrates analytical thinking, a structured approach, and independence in work.
• Confident user of Excel/Google Sheets and analytical trackers.
• Willing to travel and participate in international industry events.
   

Would Be a Plus

• Own database of relevant partners or affiliates.
• Experience launching affiliate programs from scratch.
• Knowledge of the VoIP market or existing contacts in the call center industry.
   

What We Offer

• A comfortable working environment with a strong focus on work-life balance, growth, and long-term collaboration.
• A stable working schedule: Monday–Friday, 10:00–19:00 (Kyiv time).
• Remote work with the opportunity to be part of an international team.
• Official employment and company-paid medical insurance.
• Support for mental well-being: access to a corporate psychologist.
• Company-sponsored English courses.
• Opportunities for professional and career growth within an international company.
• Paid vacation.
• An active corporate life: internal events, team activities, and contests that foster engagement and team spirit.

  We're building a language learning platform designed to make mastering new languages engaging, accessible, and effective. Our product helps users learn English, Spanish, French, German, and Italian through modern, interactive content and personalized learning experiences.

   As we prepare for launch, we're looking for an Organic Growth Lead to build and scale our organic social media presence. You'll define the content strategy, grow an ecosystem of social media accounts across multiple platforms, and lead a team focused on creating engaging short-form video content that attracts and converts users organically.

  If you're passionate about social media growth, love experimenting with content formats, and know how to turn views into user acquisition, we'd love to hear from you.

Responsibilities

• Set up and manage approximately 30 accounts across Instagram, Facebook, TikTok, and YouTube.
• Develop an organic growth strategy based on short-form video content.
• Create content plans and coordinate video production, publishing, and localisation.
• Manage the SMM team, assign tasks, monitor deadlines, and ensure content quality.
• Analyse account performance, audience growth, engagement, reach, and conversions.
• Test new content formats, trends, hooks, and publishing strategies.
• Ensure account security and compliance with platform guidelines.

Required Experience and Skills

• 5+ years of experience in SMM, organic marketing, or social media growth.
• Experience working in a product company or digital marketing agency.
• Proven experience generating organic traffic through TikTok, Instagram Reels, Facebook Reels, or YouTube Shorts.
• Experience managing multiple social media accounts and an SMM or content team.
• Strong understanding of social media algorithms, trends, analytics, and audience retention.
• Knowledge of Meta Business Manager, TikTok Business Center, and YouTube Studio.
• Understanding of account security, access management, platform restrictions, copyright, and content policies.
• Experience with content planning, short-video production, A/B testing, and performance reporting.
• English level B2 or higher.

We are looking for a Senior Data Engineer to join our team. This is not a standard ETL role. We are building a dynamic data ecosystem where AI is deeply integrated - both as a productivity multiplier and as a core component of our data processing logic for identity data enrichment and data scoring.

You will own the infrastructure that handles over 10,000 executions per minute, ensuring stability, scalability, and data integrity. You will work with a modern stack on Google Cloud Platform, utilizing Cloud Functions and Kubernetes.

We are looking for an engineer who improves infrastructure, automates everything, and is eager to implement LLM-based logic directly into high-load data flows.

Responsibilities

• AI-Driven Data Scoring: Design and implement pipelines that utilize LLMs to analyze and score identity data in real-time. You will integrate AI models directly into the decision-making loop, balancing accuracy with latency and cost.
• Own the Data Architecture: Architect scalable data solutions using GCP and Python. You will manage data storage and retrieval using BigQuery and Apache Iceberg to support querying of TBs of data.
• Heavy Data Processing: Utilize Apache Spark for data transformations and batch processing when lightweight cloud functions are not enough.
• Manage High-Load Orchestration: Maintain and optimize our system instances. It involves complex dataflows, custom Python nodes, and performance tuning for 10k+ execs/minute.
• Release Lifecycle (CI/CD): Take ownership of the deployment process, ensuring that updates to pipelines and infrastructure are released safely with proper testing and rollback strategies.
• Database Optimization: Manage PostgreSQL performance under heavy load, optimizing complex queries and indexing strategies.
• Active AI Usage: Use Claude Code and other AI engineering tools to accelerate your own development, refactoring, and testing processes.
• Incident Resolution: Proactively monitor the system. When alerts fire, you investigate the root cause—whether it’s a database lock or an LLM hallucination—and fix it permanently.
   

Requirements

• 4-5+ years of experience in Data Engineering or Backend Engineering with a strong data focus.
• Production AI Integration: Experience integrating LLMs (OpenAI, Anthropic, Gemini) into production applications via API. You understand latency, token limits, and how to structure data for AI scoring.
• Expertise in GCP: Understanding of Google Cloud Platform (Cloud Functions, IAM, Networking).
• Strong Python: You write clean, efficient, and testable code. You are comfortable building custom logic where standard tools fall short.
• Big Data Stack: Experience with BigQuery, Apache Spark, and modern table formats like Apache Iceberg.
• Kubernetes (K8s): Experience deploying and scaling services in containerized environments.
• Workflow Automation: Understanding of workflow orchestration tools at a deep technical level. N8N is a big part of our domain, so familiarity with it is highly valuable.
• PostgreSQL Mastery: Proven ability to handle heavy write/read loads and optimize schemas.
• English: B2+ (Upper-Intermediate) or higher.
   

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If a scoring model drifts or a pipeline slows down, you notice it and fix it without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If an external API fails, you build a fallback mechanism instead of just blaming the provider.
• Get It Done: You prioritize shipping value. You know when to use a simple script and when to build a complex architecture.

Openness: You share knowledge freely. If you find a better way to prompt the AI for scoring, you share it with the team.

Supplax is an American company with a Ukrainian heart that has been actively growing in the market for over 5 years. We serve as a remote back office for craftsmen in the United States who specialize in repair services. Our team includes more than 100 specialists and fully handles all organizational and operational processes, except for the repair work itself. These include marketing, sales, management of technicians’ teams, quality control, collecting reviews, training technical staff, and more. We operate in 30+ major cities across the U.S. and have successfully completed over 30,000 repair projects.

You can learn more about the company by following this link: https://youtu.be/lwjSSnodHmg. There you will learn about our mission, values, advantages, and hear about working at Supplax directly from our employees.

Supplax is rapidly evolving and growing, so we are currently looking for an active Sales Manager. In this role, you will be responsible for working with a cold contact database: establishing the first contact with potential clients, identifying their needs, and generating interest for further cooperation.

What you will get by becoming part of Supplax:

• Full-time employment with a five-day working week.
• Remote work format.
• Working hours: 16:00 — 01:00 Kyiv time.
• Comprehensive training and immersion into the specifics of the role.
• Salary of $800 + up to $1000 in performance-based bonuses.
• Structured work with B2B clients, specifically designers and contractors.
• Regular English practice with a teacher.
• The opportunity to quickly develop cold-calling skills.
• Career growth to an Account Manager position based on strong performance.

Your role will include:

• Active work with cold calls (200+ calls per day).
• Initiating the first contact with potential clients and identifying their interest in cooperation.
• Passing interested leads to the Account Manager.

You are definitely our match if you:

• Have a high level of spoken English — not lower than C1 (or a confident B2+ with regular practice), as the position involves constant communication with native speakers.
• Feel comfortable with cold calling and are not afraid of active communication.
• Your comfort zone includes frequent conversations, initiative, and result-oriented work.
• Can work efficiently in a fast-paced environment.
• Learn quickly and are ready to continuously improve your cold-calling skills.

Interested? Apply now and see you at the interview! 

Project Description

Founded in 2007, Rubicon Project’s pioneering technology created a new model for the advertising industry. Today, our automated advertising platform is used by the world’s leading publishers and applications to transact with top brands around the globe enabling them to reach more than 1 billion consumers.

Job Description

• Experience building and operating large-scale, high-throughput, enterprise apps
• 2+ years working experience in server-side Scala
• Working experience with data processing systems (Hadoop, Hive, Kafka, Spark)
• A strong understanding of algorithms, data structures, and an ability to recognize the business and technical trade-offs between different
  solutions
• Expertise in threading and concurrency
• Experience with automated testing frameworks (TDD, Mocking, Unit/Functional/Integration)
• Experience with SQL queries (MySQL is a plus)
• Experience with development and CI tools (maven, git, Jenkins, Puppet, Crucible, Jira, Airflow python is a plus)
• Experience working in a Linux environment.
• Expertise building software in an agile development environment
• Demonstrated strong English language verbal and written communication skills
• Shifted working hours 12pm till 8pm EEST timezone

Job Responsibilities

• Write production-ready code and unit tests that meet both system and business requirements.
• Respond to feature requests, bug reports, performance issues, and ad-hoc questions.
• Work collaboratively with multiple teams to deliver quality software.
• Comfortable in multi-tasking and fast-pacing dev process.
• Support operation of services in production.