Jobs at Djinni

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).

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 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.

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

PayGames is a one-stop solution for running an online business while benefiting financially. We provide comprehensive B2B solutions, enabling businesses to integrate online payments seamlessly in just one step. As a dynamic and forward-thinking Holding, we embrace flexibility and innovation, encouraging fresh ideas for product and process improvements.
We are looking for experienced International Counsel to join our team!

Requirements:

• 2+ years of experience in international companies or as an in-house lawyer.
• Experience in IT, fintech, payments, consulting, iGaming, or digital business.
• Strong knowledge of contract, corporate, financial, and related areas of law.
• Experience in legal research and analysis of complex legal matters.
• Excellent drafting and negotiation skills.
• Ability to identify risks and provide practical legal solutions.
• Ability to work independently and manage multiple priorities.
• Upper-Intermediate+ English (spoken and written).
• Understanding of the payment industry will be a plus.

Responsibilities:

• Drafting, reviewing, negotiating, and approving contracts and legal documents.
• Assessing and mitigating legal risks related to company operations.
• Conducting legal research and preparing recommendations for management.
• Assisting with legal issues in different jurisdictions.
• Completing questionnaires, collecting documents, and communicating with partners, regulators, and authorities.
• Working closely with product, tech, compliance, support, and business teams to resolve legal matters and support business.

​The company is a leader in the Search Arbitrage market with over 20 years of experience in traffic. Unlimited budgets, a large creative team, automation of fillings and campaign management, an internal development team. Our goal is to make the media buying process as comfortable as possible and free buyers from constant checking of their advertising campaigns.
Right now we are looking for a buyer - an expert in TikTok Search. We value your experience and are ready to pay for it.

Why you'll love us:
- ​Infrastructure & Tech: Own development, autofills, unlimited budgets and agency accounts.
​- Creative Power: You have a personal Creative Producer assigned to you. He is your bridge to the creative department, who generates and implements your ideas every day.
- ​No Micro-management: We value expertise. Team Lead is support and analytics, not control of every click.
​- Scale: The opportunity to quickly grow to Team Lead.

​Your challenges:
- ​Scaling and optimizing RC in TikTok Search.
-​ Searching and testing new offers/approaches (we provide resources - you provide results).
-​ Maximizing ROI/Profit and working with reporting.

​Our ideal candidate:
- ​Has 1+ year of experience with TikTok (Search/RSOC - 6+ months required).
​- Confidently manages 20+ accounts simultaneously.
​- Understands how to maintain high ROI on large volumes.
​Leadership experience or creative skills would be a plus.

We offer:

- 20 working days of vacation (not calendar days);

- Additional paid leave for family events;

- 10 days of sick leave with medical certificate + 3 Sick days without MC;

- Professional courses;

- Remote/Hybrid/Office formats;

- Flexible start time between 8:00 and 10:00;

- Modern offices in Prague&Warsaw;

- Top equipment;

- Paid tools and programs;

- Participation in professional conferences fully-paid by the company.

You get:

- Rate + % of profit (discussed individually)

We are waiting for your feedback)

Attention! The company has a referral program - you can recommend a candidate for a bonus of up to $500 🙌

RemotePass is a leading global platform transforming the way businesses access and manage top talent. Recognized as one of G2’s Top 100 Fastest Growing Software Products, we’re on a mission to break down geographical barriers and create a world where exceptional talent can thrive anywhere.

By streamlining global hiring, onboarding, payroll, and compliance, RemotePass empowers organizations to build high-performing remote teams. Our platform is designed to improve the lives of millions of workers worldwide by providing them with unprecedented opportunities to connect with global employers and reach their full potential.

We are backed by world-class investors; Endeavor Catalyst, Khwarizmi Ventures, Oraseya Capital, Flyer One Ventures, Access Bridge Ventures, A15, Swiss Founders Fund and Plug & Play.

AI–Native Product Team

The Role

As a Senior Fullstack Engineer on one of our new AI–native squads, you will own entire features from database to UI. Our stack runs on AWS with PHP/Laravel and Node.js/NestJS powering the backend services, and React with TypeScript on the frontend. You will be expected to leverage AI coding assistants, automated testing tools, and generative AI workflows as core parts of your daily process—not as occasional novelties.

What you will be responsible for:

• Own and deliver features end–to–end across the full stack (backend services, APIs, frontend interfaces, and data layers)
• Design, build, and operate production systems in a payroll domain where correctness and reliability are non–negotiable
• Use AI coding tools (e.g., Claude Code, Cursor, Copilot) as a daily force multiplier for writing, reviewing, and refactoring code
• Write and maintain automated tests with AI–assisted generation, aiming for high coverage with minimal manual effort
• Participate in lean team rituals: async–first communication, lightweight code reviews, and continuous deployment
• Collaborate closely with product and design in a small squad to scope, estimate, and prioritize work
• Contribute to defining and evolving our AI–augmented engineering practices and toolchain
• Take shared ownership of operational concerns: monitoring, alerting, incident response, and on–call rotations

What We Are Looking For

Must–haves:

• 5+ years of professional software engineering experience with meaningful exposure to both backend (PHP or Node.js) and frontend (React/TypeScript) development
• Strong proficiency in our core stack: PHP/Laravel and/or Node.js/NestJS on the backend, React with TypeScript on the frontend
• Hands–on experience with AWS cloud infrastructure, relational databases, and API design (REST or GraphQL)
• Demonstrated comfort with AI–assisted development workflows—you already use AI tools regularly and can articulate how they change your process
• Strong fundamentals in testing: you know when to write a unit test, an integration test, or lean on AI–generated test suites
• Excellent async written communication—you document decisions, write clear PRs, and can drive alignment without meetings
• Ownership mindset: you do not wait for someone else to write the migration, fix the flaky test, or update the runbook

Nice–to–haves:

• Experience in payroll, HR tech, or fintech domains where precision and compliance matter
• Familiarity with prompt engineering, AI agent frameworks, or building LLM–powered features into products
• Experience migrating or integrating between PHP/Laravel and Node.js/NestJS services
• Experience working in small, high–autonomy teams (startups, platform teams, or similar)
• Background in QA or testing automation—understanding quality from first principles
• Contributions to developer tooling, CI/CD pipelines, or internal platform improvements

Why This Role Is Different

We are not adding “AI” to a job title for marketing purposes. We are restructuring our entire
engineering organization around a thesis: small teams of strong fullstack engineers, deeply
integrated with AI tools, can outperform larger traditional teams in speed, quality, and developer
satisfaction.

What this means in practice:

• You will not hand off work to a separate QA team—you own quality, aided by AI–powered testing and code review
• You will not wait on a backend engineer to build your API—you build the whole feature
• You will have real input into the tools and workflows the team adopts—this transformation is being built collaboratively
• You will work in a team of 2–3, not 5+, which means less coordination overhead and more building time

Benefit offerings include:

• 20 paid vacation days annually
• Paid public holidays based on your country of residence
• Unlimited sick leaves
• Comprehensive premium health insurance coverage

We’re looking for a C++ Software Engineer to join a small, highly focused team building FinishLynx 2.0 - a complete modernization of the world’s leading photo-finish timing system.
 

Our software is used at major athletic competitions worldwide, where precision down to thousandths of a second matters.

You’ll work at the intersection of high-performance systems, real-time processing, networking, and hardware integration.

What You’ll Work On:

• Develop and maintain a high-performance C++ backend handling:
  • timing logic
  • camera communication
  • real-time image streaming
• Build features for a cross-platform desktop UI using C# and Avalonia
• Design and implement low-level network protocols (TCP/UDP, binary communication)
• Integrate with specialized hardware:
  • high-speed cameras
  • timing sensors
  • scoreboard systems
• Collaborate on architecture decisions for a modern, scalable codebase
• Ensure reliability through testing and performance optimization

Requirements:

• Strong experience with modern C++ (17 or later)
• Solid understanding of:
  • multithreading & concurrency
  • low-level networking (TCP/UDP, sockets)
• Experience working on system-level or performance-critical applications
• Familiarity with Linux or cross-platform development
• Experience with CMake or similar build systems

Nice-to-Have:

• Experience with hardware integration (cameras, sensors, serial protocols)
• Background in real-time or embedded systems
• Knowledge of image processing or computer vision
• Experience with desktop UI frameworks (Avalonia, WPF, Qt)
   

Benefits:

• 4 weeks of paid vacation per year 
• Flexible working hours 
• Medical insurance for your peace of mind
• Professional development support - Launch Labs covers courses, training, and skill growth
• An exciting, collaborative, and innovative team environment
• Fully remote work, with freedom and flexibility

We are looking for a Business Analyst  with experience in Microsoft Dynamics Business Central to join our team. This role involves close collaboration with business stakeholders, analysis of processes, and implementation of ERP solutions.
 

🔧 Responsibilities

• Analyze and document business requirements
• Gather and formalize functional requirements
• Configure and support Microsoft Dynamics Business Central
• Participate in ERP implementation projects
• Communicate with stakeholders and end users
• Prepare documentation (BRD, SRS, user stories)
• Participate in testing and go-live activities
• Provide post-release support
   

✅ Requirements

• 3+ years of experience with Microsoft Dynamics Business Central (or NAV)
• Understanding of business processes (finance, supply chain, sales, procurement)
• Experience in writing business and technical documentation
• Experience in ERP implementations
• Strong communication skills
   

➕ Nice to have

• Experience with AL development or understanding of BC customization
• Experience with system integrations
• Microsoft Dynamics certifications 

We're a fast-growing tech company building modern, innovative digital products — and we're looking for a Full-Stack Developer to join our team in Lviv. If you're comfortable on both sides of the stack, enjoy owning features end-to-end, and want to work in a team that values engineering quality, we'd love to hear from you.

What you'll be doing

You'll work as part of a cross-functional team to build and maintain full-stack features — from crafting responsive, user-friendly interfaces to designing scalable server-side architecture and APIs. Our frontend stack includes React, Next.js, TypeScript, Redux, GraphQL, SCSS, Material-UI, and Webpack. On the backend, we work with Node.js, Express, NestJS, PostgreSQL, MongoDB, JWT, Socket.IO, AWS (DynamoDB, S3, EC2), Firebase, and Heroku. We also integrate with third-party services such as Twilio, SendGrid, Google Maps, MapBox, and WebRTC.

What we're looking for

Frontend

• Solid experience with React and modern React hooks
• Confident use of modern JavaScript (ES6+) and TypeScript
• Strong command of HTML5, CSS3, and SCSS
• Experience with Redux or other state management tools
• Ability to build responsive, cross-browser compatible layouts

Backend

• Solid hands-on experience with Node.js
• Practical experience with Express.js and/or NestJS
• Experience working with ORM tools
• Proficiency in SQL databases (MySQL / PostgreSQL) and NoSQL databases
• Experience designing RESTful APIs and integrating with third-party services

General

• Experience with Git and version control workflows
• Ability to work across the full product lifecycle — from feature design to deployment
• Responsible, self-motivated, and comfortable working both independently and as part of a team

What we offer

• Full-time, in-office position in Lviv
• Official employment and a competitive salary based on your skills and experience
• Company-provided equipment
• A well-structured work schedule
• A friendly, supportive team and a comfortable office environment
• Mentorship and guidance from experienced colleagues
• Interesting and technically challenging projects to grow on

How to apply

Send us your CV — we review every application and get back to candidates promptly. This could be the start of something great.

We are looking for a Trainee / Junior Sales Manager aspiring to become a sales professional and ready to grow in Lead Generation and Full-Cycle Sales. You’ll work closely with a seasoned mentor, follow an internal training program, and benefit from established processes and strategies developed by the sales team.

Requirements

🔹Driven to grow in Lead Generation and Full-Cycle Sales
🔹Upper-Intermediate English is a must (writing and speaking)
🔹Advanced planning and critical thinking skills
🔹Superb(!) interpersonal and communication skills
🔹Proactive approach to solving tasks
🔹Result-driven mindset

Will be a helpful

🔹Education or any experience in B2B Sales
🔹General understanding of software development

Responsibilities

🔹Follow the individual training program and gradually grow in one of two directions — Lead Generation or Full-Cycle Sales
🔹Generate leads using various channels (including resources like Upwork and LinkedIn)
🔹Develop relations with potential clients to find how we can help them achieve their goals
🔹Work with team managers to develop the best-selling strategy for every team and domain
🔹Research and employ new channels and strategies as a part of sales department effort
🔹Learn from technology experts, contribute to selling points and proof-of-expertise materials
🔹Work on completing all milestones on your path to becoming an expert in your chosen direction
🔹Break and improve the process when it is necessary and be your best self! ;)

We offer

🔹Individual mentoring, sharing knowledge to polish your skills and support your growth in either Lead Generation or Full-Cycle Sales
🔹Opportunity to work with potential clients from the US, EU, UK, Canadian and Australian markets
🔹Cutting-edge sales workflow and processes focused on continuous improvement and innovation
🔹Open environment and support that facilitates professional freedom and growth
🔹Compensation that scales with your skills and experience

Benefits

We offer several benefits for the team members to improve their quality of life and help with achieving professional development goals.

Professional

🔹Compensation for professional certifications, courses, IT conferences, and events
🔹Individual and group English classes with native-speaking teachers from US & UK

Quality of life

🔹Our processes are tailored to enable remote work and flexible work schedule
🔹You can choose from a selection of hardware either it is Apple, or PC devices
🔹There are also frequent team retreats, leisure activities, and holiday celebrations
🔹Gifts on personal and professional anniversaries and movie nights
🔹21 paid days off and 11 national holidays throughout the year to travel and rest
🔹We compensate some expenses on recreational activities, including various sports, dance lessons, and yoga sessions
🔹Partial reimbursement for medical expenses
🔹You are a part of a team, we help each other when life knocks one of us down 🤠

We are driven to be the best, grow, improve, and innovate. We would welcome a like-minded person to become an invaluable part of our team!

Follow our social media — Instagram, Facebook, Linkedin, YouTube
Visit our website and learn about the company’s portfolio and technologies 💻