Jobs at Djinni

Data Science UA is a service company with deep expertise in AI and Data Science. Our story began in 2016 with the first Data Science UA Conference in Kyiv, and since then we've built one of the largest AI communities in Europe.
 

About the role:
We are looking for an Operations & Lead Generation Coordinator to join a team building technology solutions for DefenseTech — a person who will become the hub of the company's operational coordination and help us build new partnerships and find new opportunities for growth.
We would be especially glad to welcome candidates who share the mission of developing Ukrainian DefenseTech and want to contribute to strengthening Ukraine's defense capabilities.
 

Responsibilities:
- coordinating the company's day-to-day operational processes;
- managing business communication with clients, partners, and contractors;
- organizing meetings and calls, preparing and following up on agreements;
- supporting lead generation processes and the search for new potential clients;
- helping organize conferences, exhibitions, business events, and other company activities;
- coordinating internal tasks between teams;
- tracking deadlines and following tasks through to full completion;
- quickly and effectively resolving operational issues.
 

Requirements:
- experience in operations, project coordination, executive support, or related roles;
- flawless spoken and written Ukrainian;
- high level of English (Upper-Intermediate / Advanced);
- strong communication skills;
- structured approach, responsibility, and attention to detail;
- ability to multitask;
- fast pace of work and a proactive approach.
 

Will be a plus:
- experience working in MilTech or DefenseTech;
- understanding of the defense industry's specifics;
- experience interacting with military personnel, defense companies, or government projects;
- veteran status or experience serving in Ukraine's Defense Forces;
- experience in business development or sales;
- experience in lead generation;
- experience in event management.
 

Important:
- location - Kyiv;
- readiness to work in a dynamic environment;
- willingness to take responsibility for results;
- high level of self-organization;
- openness, positivity, and a love of communication.

We are looking for a Senior PHP Symfony Developer

Information: 80% remote, 20% on-site in Düsseldorf

Responsibilities:
Design, development and implementation of modern web solutions using PHP, HTML5, CSS3 and JavaScript or jQuery
Development of web applications based on established frameworks, particularly Symfony 6+ or Laravel
Optimisation, maintenance and continuous development of existing web solutions
Participation in complex development projects, potentially including architectural or technical leadership responsibilities
Independent ownership of tasks and roles within a Scrum team
Technical support, onboarding and coaching of new or less experienced team members
Ensuring high code quality and structured, transparent version control using Git

Candidate profile:
A completed degree in computer science, business informatics or a comparable IT-related field, or extensive relevant professional experience: at least five years with completed vocational training or at least six years without vocational training
At least three years of professional experience in PHP application development
Senior-level experience in development with PHP and Symfony
At least two years of practical experience with Symfony, or comparable experience with Laravel
At least twelve months of web development experience within the past three years
At least twelve months of experience with Symfony or Laravel within the past three years
Demonstrable involvement in complex development projects, ideally with architectural, coaching or leadership responsibilities
Experience with agile development methodologies, particularly Scrum
Ideally, experience in a technical leadership or consulting role

Excellent written and spoken German skills at a minimum B2 level or native-level proficiency
Independent, structured and solution-oriented working style
Strong teamwork and communication skills

Mandatory technical skills:
PHP
Symfony 6 or higher
Git

Desirable skills:
Laravel
HTML5, CSS3, JavaScript and jQuery
Bootstrap
Composer
npm and automated build or deployment pipelines
Jira and Confluence
Synchronous and asynchronous encryption or processing mechanisms using Symfony

About the Product

We are building a US-based, data-driven product with a strong focus on scalability, performance, and cost efficiency.

Our mission is to design a modern data platform that transforms raw behavioral and monetization data into reliable, actionable business insights — in near real-time.

For us, data engineering is not just about moving data.
It’s about:

• Designing resilient architecture
• Optimizing for performance and cost
• Building reliable automation
• Ensuring architectural integrity at scale
•  

Role Overview

We are looking for a Senior Data Engineer who will take ownership of the data platform architecture and drive technical excellence across ingestion, modeling, and performance optimization.

This role requires deep expertise in SQL, Python, AWS infrastructure, and modern data stack principles. You will not only build pipelines — you will define standards, lead architectural decisions, and proactively improve system efficiency.

You will play a critical role in ensuring that data flows seamlessly from event streams to business-ready datasets while maintaining high performance, reliability, and cost control.

What Makes This Role Senior-Level

As a Senior Data Engineer, you will:

• Own architectural decisions for the data platform
• Identify scalability bottlenecks before they become incidents
• Optimize data infrastructure for performance and cost
• Lead technical code reviews and set engineering standards
• Mentor mid-level engineers
• Act as a technical partner to Product and Analytics stakeholders
• Balance real-time and batch processing strategies strategically

Technical Requirements

Must-Have

Expert-Level SQL

• Complex analytical queries and window functions
• Query optimization and execution plan analysis
• Identifying and eliminating performance bottlenecks
• Reducing query complexity and compute costs
• Designing partitioning and clustering strategies

Python

• Advanced data manipulation
• Building scalable ETL/ELT frameworks
• Writing production-grade data services
• Automation and monitoring scripts

AWS Core Infrastructure

• AWS Kinesis Firehose (near-real-time data streaming)
• Amazon S3 (data lake architecture and storage optimization)
• Designing reliable ingestion layers

Version Control

• Git (GitHub / GitLab)
• Branching strategies
• Leading technical code reviews
• Enforcing best practices in code quality

Nice-to-Have

Modern Data Stack

• dbt (modular SQL modeling, documentation, testing)
• Experience structuring layered data models (staging → intermediate → marts)

Data Warehousing

• Google BigQuery
• Slot management
• Cost-efficient querying
• Storage and compute optimization

Advanced Optimization Techniques

• Partitioning
• Clustering
• Bucketing
• Storage layout optimization

Integrations & Infrastructure

• Salesforce data integration
• Docker / ECS
• CI/CD for data workflows

AI / ML Exposure

• Supporting feature pipelines
• Understanding data requirements for ML systems

Key Responsibilities

Data Platform Architecture

• Design and maintain a scalable real-time and batch data platform
• Architect ingestion pipelines using AWS Kinesis and Python
• Ensure high availability and reliability of data flows

Real-Time Processing

• Enable near-real-time (seconds–minutes latency) data processing
• Build systems for operational alerting and anomaly detection
• Ensure early detection of monetization and traffic issues

Data Modeling

• Transform raw event data into business-ready datasets using dbt
• Design scalable, maintainable schemas aligned with product evolution

Performance & Cost Engineering

• Optimize SQL queries and storage structures
• Design cost-efficient partitioning strategies
• Monitor and reduce warehouse and infrastructure costs
• Balance real-time and batch processing appropriately

Engineering Excellence

• Lead and participate in code reviews
• Enforce high standards of performance, security, and maintainability
• Improve observability and monitoring across pipelines

Cross-Functional Collaboration

• Work closely with Data Analysts and Product Managers
• Translate business requirements into scalable technical solutions
• Clearly communicate trade-offs between speed, cost, and complexity

Type of Data We Process

• User behavior events (page views, clicks, searches, conversions)
• Ad & monetization events (impressions, clicks, CTR, attribution)
• System and integration logs (latency, errors, rate limits)

Why Real-Time Is Critical

• Detect broken ads or impression drops before revenue is lost
• Identify traffic anomalies or abuse early
• Enable same-day operational intervention
• Prevent negative user and advertiser experience

Near-real-time (seconds to minutes latency) is required for operational awareness.
Batch processing remains important for historical analysis and reporting — but not for incident detection.

Working Schedule

• Monday – Friday
• 16:00 – 00:00 Kyiv time
• Full alignment with US-based stakeholders

What We Value

• Strong ownership mindset
• Strategic thinking about architecture
• Focus on scalability, reliability, and cost efficiency
• Proactive problem-solving
• Clear communication with both technical and non-technical teams
• Ability to think beyond “just making it work”

Dinarys is an Ecommerce Development Company helping retailers, brands, and manufacturers across DACH, the UK, and the US build, scale, and optimize their digital commerce solutions.

We’re entering a new stage of marketing.

Rather than treating our website as a collection of pages, we’re transforming it into a scalable knowledge infrastructure that powers brand visibility, SEO, AI search, LLMs, sales enablement, and future AI agents.

We’re looking for an Content Marketing Lead (AI & SEO) who can lead this transformation.

This is a strategic, hands-on role where you’ll work directly with the CEO, Solution Architects, Delivery teams, and Business Development to capture the company’s expertise and transform it into a structured, scalable knowledge ecosystem.

If you’re excited about AI, content strategy, semantic search, and building systems rather than simply producing content, we’d love to meet you.

You’ll thrive in this role if you:

• Think like a business owner rather than a content marketer.
• Love extracting knowledge from experts and turning it into scalable business assets.
• Enjoy building systems, frameworks, and repeatable processes.
• Understand that modern content is built for both humans and AI.
• Know how SEO, semantic search, entity-based content, branding, and AI work together.
• Constantly experiment with AI tools, workflows, and autonomous agents.
• Are comfortable working directly with founders and engineering teams.

• Take ownership of ambiguous problems and build solutions from scratch.

   

What You’ll Build

During your first months, you’ll help transform Dinarys’ marketing foundation by building an AI-native knowledge ecosystem. You’ll work on structuring the company’s expertise into a scalable knowledge base, designing content architecture, and developing AI-powered workflows that make our expertise accessible to both people and AI systems.

This role goes far beyond creating content. You’ll help shape how our knowledge is organized, connected, and distributed to strengthen brand authority, improve discoverability across search engines and LLMs, and create a long-term foundation that supports marketing, sales, and future AI initiatives.

Responsibilities

• Own and continuously evolve Dinarys’ Brand & Knowledge Strategy.
• Design and build a scalable knowledge infrastructure across the website and marketing assets.
• Define information architecture, content hierarchy, entities, and relationships across industries, services, technologies, and customer challenges.
• Build an AI-ready content ecosystem that improves discoverability across Google, LLMs, AI assistants, and future agentic systems.
• Develop a semantic SEO and entity-first content strategy aligned with business objectives.
• Conduct interviews with customers, Solution Architects, Project Managers, engineers, and leadership to transform expertise into reusable knowledge assets.
• Create customer success stories, technical case studies, solution pages, whitepapers, executive content, landing pages, and industry resources.
• Lead thought leadership initiatives around the CEO and technical experts.
• Design and optimize AI-powered content workflows using modern AI tools and agents.
• Continuously experiment with new AI capabilities, content operations, and knowledge management approaches.
• Collaborate closely with Sales, Business Development, Delivery, and Leadership to ensure marketing supports commercial growth.
• Measure and optimize brand visibility, organic growth, AI discoverability, and content performance.

Requirements

• 5+ years in B2B Content Marketing, Brand Marketing, Content Strategy, Knowledge Management, or a related field.
• Experience developing and executing strategic content initiatives.
• Strong business storytelling and interviewing skills.
• Experience transforming technical expertise into business-focused content.
• Strong understanding of SEO, semantic search, content architecture, and information organization.
• Experience designing scalable content systems rather than only producing individual assets.
• Experience working with software development, SaaS, AI, technology, or ecommerce companies.
• Practical experience using AI tools (ChatGPT, Claude, Gemini, Perplexity, etc.) to improve marketing workflows.
• Ability to work independently, identify gaps, and drive initiatives with minimal supervision.
• Excellent English (Upper-Intermediate+).

Nice to Have

• Experience with Knowledge Management or Information Architecture.
• Understanding of entity-based AEO (Answer Engine Optimization), or LLM optimization.
• Experience with AI agents and agentic workflows.
• Experience with headless CMS platforms (Contentful, Storyblok, Sanity, etc.).
• Experience with Google Analytics 4, Search Console, Ahrefs, Semrush, or similar tools.
• Experience with ecommerce or digital commerce.
• Experience with PR, thought leadership, executive branding, or developer marketing.

What We Offer

• Fully remote work.
• Direct collaboration with company leadership.
• High ownership and freedom to shape Dinarys’ marketing direction.
• Opportunity to build a recognized brand in the international ecommerce technology market.
• A strategic role with significant influence on company growth, positioning, and business development.

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.

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).

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.

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.

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 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