Jobs at Djinni

Mirko Solutions is an international IT company specializing in web and mobile development for clients across the US, Canada, EU, and Australia. We are growing rapidly and are looking for a Middle Manual QA Engineer to join our team and help ensure the quality, reliability, and usability of our web and mobile applications.

Job Requirements

• 3+ years of experience in manual testing of web applications
• Strong understanding of software testing methodologies, SDLC, STLC, and Agile processes
• Experience creating and maintaining test documentation (test cases, checklists, test plans, bug reports)
• Experience with bug tracking and project management tools (Jira, Azure DevOps, or similar)
• Experience testing REST APIs using Postman, Swagger, or similar tools
• Solid understanding of client-server architecture and HTTP protocols
• Experience performing functional, regression, smoke, exploratory, and acceptance testing
• Understanding of UI/UX principles and experience validating interfaces using Figma
• Basic knowledge of HTML and CSS for troubleshooting UI issues
• Experience working with SQL for basic database validation
• Strong analytical and problem-solving skills
• Excellent communication skills in English
• Attention to detail and ownership mindset

Nice-to-Have:

• Experience testing mobile applications (iOS/Android)
• Basic knowledge of automation testing concepts or frameworks
• Experience with browser DevTools
• Familiarity with CI/CD processes
• Basic understanding of JavaScript
• Experience working with performance or security testing tools

Responsibilities:

• Perform manual testing of web and mobile applications
• Design, execute, and maintain test cases, checklists, and test scenarios
• Conduct functional, regression, smoke, exploratory, and acceptance testing
• Validate new features and ensure existing functionality remains stable
• Test REST APIs using Postman or similar tools
• Report, document, and track defects throughout their lifecycle
• Verify bug fixes and perform regression testing before releases
• Collaborate closely with developers, Project Managers, Business Analysts, and Designers
• Participate in sprint planning, backlog refinement, and QA estimations
• Maintain testing documentation and continuously improve QA processes
• Ensure delivered products meet quality standards and business requirements

We provide the following for our employees:

• Competitive salary according to qualification
• Comfortable working environment
• Experienced colleagues
• Opportunity to work with interesting projects,
• Regular performance reviews
• Friendly atmosphere, care for the comfort of professionals

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

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.

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.

  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.

We are looking for a Senior iOS Engineer to join a long-term mobile product in the European e-commerce and e-health domain.

This role is focused on the technical foundation of a large production application. You will work on architecture, modularization, performance, stability, and developer experience while supporting several cross-functional product teams.

What you will do

• Design and evolve a scalable, modular iOS architecture
• Define technical standards and contribute to architectural decisions
• Improve application performance, stability, and maintainability
• Strengthen unit testing practices and overall test coverage
• Improve CI/CD pipelines, build times, and release processes
• Review critical technical solutions across multiple teams
• Reduce technical debt and improve shared platform components

• Collaborate with engineers, product managers, and designers

   

Required experience

• Strong commercial experience with Swift
• Hands-on experience with SwiftUI
• Experience building and maintaining large production iOS applications
• Strong knowledge of MVVM, Clean Architecture, or similar architectural patterns
• Experience with modular application architecture and Swift Package Manager
• Good understanding of Swift concurrency and memory management
• Strong unit testing and debugging skills
• Experience with CI/CD and mobile release processes

• Confident spoken and written English

   

Tech stack

Swift, SwiftUI, MVVM, Swift Testing, Swift Package Manager, Xcode Cloud, latest iOS SDK

Project

• Full-time engagement
• International English-speaking team
• Product used in the European pharmacy, e-commerce, and e-health market

• Strong focus on engineering quality and long-term product development

   

Interview process

1. Interview with our HR team
2. 15-minute introductory call with a client representative
3. 30-minute client screening
4. Two-hour technical interview

Performa is an international HR agency specialising in connecting top talent with leading companies across the iGaming, IT, and Marketing industries. We help businesses scale their teams and support professionals in finding opportunities where they can unlock their full potential.

 

Our client is a fast-growing international AI-native product company developing an innovative SaaS platform that helps businesses automate complex workflows, process large volumes of data in real time, and build intelligent, scalable products. AI is deeply integrated into both the product and the engineering culture, with modern development practices and continuous innovation at the core of the company's approach.
 

The engineering team works with a modern technology stack, follows high software quality standards, and encourages ownership, collaboration, and continuous improvement. As the product continues to scale, the company is looking for an experienced Chief Technology Officer to lead its technology vision while remaining actively involved in product development.
 

Role Overview

We are seeking a hands-on Chief Technology Officer (CTO) who combines strong technical expertise with proven leadership and business acumen. The ideal candidate will drive the company's technology strategy while remaining actively involved in software development, lead and mentor the engineering team, and represent the technical vision of the product to clients and stakeholders.

This role requires the ability to translate complex technical concepts into clear business value, collaborate closely with product and commercial teams, and ensure the successful delivery of a scalable, AI-driven platform.
 

Requirements:

• Software development experience.
• 6+ years of strong Python development experience.
• Proven expertise with Django and Celery.
• 1+ years of solid Angular 19 frontend development experience.
• AI/ML knowledge and practical implementation experience.
• Strong understanding of software architecture and scalable system design.
• Ability to translate business requirements into technical solutions.
• Experience using modern AI-powered development tools to increase productivity.

Key Responsibilities

• Architect and develop AI-powered solutions and intelligent agents.
• Design and maintain scalable backend systems using Python, Django, and Celery.
• Build modern frontend applications using Angular 19 and Tailwind CSS.
• Integrate machine learning models into production environments.
• Drive product decisions and contribute to product strategy.
• Collaborate with stakeholders to define requirements and priorities.
• Mentor team members and promote engineering best practices.
• Combine technical leadership with product ownership to ensure successful product delivery.

What we offer:

• Competitive salary.
• Equity participation opportunities.
• Flexible remote work environment.
• Health insurance and wellness budget.
• Learning and conference budget.
• Latest hardware of your choice.
• Opportunity to have a direct impact on both product and technology decisions.

Cargofy is building the AI-native operating system for global freight. Cargofy deploys autonomous AI agents that automate procurement, dispatching, negotiations, tracking, and operations for carriers, shippers, and 3PLs across the US, Europe, and Asia. Our platform processes 100,000+ loads per day and hundreds of thousands of real-time events — replacing manual logistics with fully autonomous AI.

We need an AI Creator to put product video on a production line and make Cargofy as recognizable on screen as it is in the market.

Why This Role Exists Now

Logistics operators deciding whether to trust an autonomous agent with their dispatching don't want to read about it. They want to see it run. We ship fast — agents go to production in weeks. The old video model can't keep pace. So we're doing it the way a company that sells digital workers should: with AI. Your job is to turn that into an engine.

What Winning Looks Like

• Product video ships on the same clock as the roadmap, not weeks behind it
• Every launch has a clip; sales has assets that close instead of explain
• Cargofy has a recognizable visual language across every channel — not a folder of one-offs
• A library of reusable templates and workflows so production scales without starting from zero

What You Will Own

• Product videos — 30–60 second clips showing what Cargofy actually does, script to finished clip, end to end
• Channel distribution — cut one source into ready versions for LinkedIn, YouTube, events, and ads
• Content coverage — feature releases, product launches, case studies, sales and onboarding assets
• Production system — templates and workflows that scale output without scaling headcount
• Visual language — iterate on tone, visuals, and pacing until the look is unmistakably Cargofy

Who You Are

• Already making strong short-form video with AI tools — Runway, Kling, Veo, HeyGen, Pika, ElevenLabs, or similar
• Show the work rather than describe it
• Understand B2B product marketing — what a clip is for, not just how it looks
• Deliver finished videos, not source files for someone else to finish
• Experience with AI video for SaaS or tech products is a plus

Why Cargofy

• A clear mandate to build with AI, not against a headcount cap
• Fast cycles — script to brief to clip in days, not weeks
• Direct line to the team and the product, with real ownership of the output
• Contract, part-time / project-based to start — full-time on the table if it's a match
• Remote-first with offices in Kyiv, Warsaw, and Houston

Cargofy is building the AI-native operating system for global freight. Cargofy deploys autonomous AI agents that automate procurement, dispatching, negotiations, operations, tracking, and workflows for carriers, shippers, and 3PLs across the US, Europe, and Asia. Our platform processes 100,000+ loads per day and hundreds of thousands of real-time events — replacing manual logistics with fully autonomous AI.

We need an Integration Engineer (PHP/Laravel) to build and maintain the connectors that plug our AI agents into the systems logistics runs on — load boards, TMS platforms, telematics, finance, e-sign, and communication services. The catalog is large and growing constantly: there will always be a next connector.

Why This Role Matters

Our AI agents are only as capable as the systems they can reach. An agent that finds loads needs load boards like DAT. An agent that negotiates needs telephony and email. An agent that files documents needs e-sign. Every connector you ship gives every agent on the platform a new capability — and every customer gets it within days.

What You Will Do

• Build and maintain integrations with third-party systems: load boards, TMS and ERP platforms, telematics/ELD providers, LTL carriers, finance and e-sign services, messaging and telephony
• Design connectors that survive the real world: rate limits, flaky third-party uptime, breaking API changes, retries/backoff, idempotency
• Build two-way sync flows — loads in, statuses and documents back out — where the customer's system stays the system of record
• Wrap legacy APIs (SOAP/XML, government e-services) into clean internal interfaces our agents consume
• Own connector health: monitoring, alerting, and recovery for integrations processing events at scale

Tech Stack

• PHP 8.x — strong OOP, PSR standards, clean code
• Laravel — queues (Redis + Horizon), jobs, events, service container
• REST, OAuth2, webhooks; SOAP/XML for legacy APIs
• PostgreSQL, event-driven architecture
• PHPUnit, CI/CD pipelines, Docker

Who You Are

• 3+ years of production PHP/Laravel experience, with real third-party API integration work behind you
• You treat other people's APIs as a hostile environment — you design for failure, not the happy path
• You can read undocumented or badly documented APIs without waiting for support tickets
• Independent and proactive — a new connector is a project you scope and ship, not a task you receive
• Logistics domain experience (TMS, load boards, ELD) is a strong plus, not a requirement

Why Cargofy

• Your connector ships to production within days and immediately powers AI agents used by thousands of logistics companies
• Work at the frontier of applied AI — the integrations you build are what lets our agents make real phone calls, book real loads, and file real documents
• Competitive compensation + stock options for top performers
• Clear OKR system, strong engineering culture, and a team that ships daily
• Remote-first with offices in Kyiv, Warsaw, and Houston