Jobs at Djinni

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

About the client:
Our client's mission is to reduce the time and money enterprises spend on state-of-the-art technology by 99%. It is the core constraint that drives the product philosophy. It forces the company to reject incremental improvements and pursue fundamental breakthroughs. These principles are the operating system for how the company thinks, builds, and ships. They are how the company turns radical ambition into reality.

About the role:
We are looking for a Full Stack AI Engineer who will join the team. You'll be an architect of the revolution against enterprise tech waste. You'll build the core platform and intelligent agents that power the company's mission — not optimizing existing workflows, but eliminating them entirely.

Requirements:
- 5+ years of industry experience in product-centric full-stack engineering roles;
- Very strong software engineering background with deep expertise in Python/Typescript.
- Hands-on LLM product patterns (prompting, tool use, routing, evals, regression testing);
Experience of working with Agents & LLMs:
- LangGraph/LangChain (know its limitations & trade-offs);
- Multi-provider routing, prompt tooling, trace/eval discipline (LangSmith);

Experience of working with Knowledge & Search Technologies:
- Vector — pgvector on PostgreSQL (semantic);
- Graph traversal — Cypher on Neo4j (relationships & enterprise context graph);
- Keyword/BM25 — lexical precision;
- Cross-Encoder (BGE Reranker) + RRF (blend lists robustly);
Deep knowledge of working with Data & Databases:
- PostgreSQL (Cloud SQL) — primary OLTP;
- SQLAlchemy and BigQuery — analytics/outcomes & cost/waste telemetry;
- Redis (Memorystore) — caching + lightweight queue/broker;
- GCS — object storage (files, audio, artifacts);

Responsibilities:
Design & Build Autonomous Agents:
- Tackle the end-to-end challenge of creating agents that solve open-ended enterprise problems.
- Wrangling high-volume enterprise data, building robust evaluation frameworks.
- Mastering the interplay between LLM prompting, fine-tuning, and scalable system architecture.
- Lead Customer Conversations & Translate to Product: Work directly with customer executives to translate their most critical objectives into breakthrough product features.
- Build the "New": Own the most audacious hypotheses, like fully autonomous optimization agents that replace entire consulting engagements and obsolete the need for army-style deployments.
- Master Deep Context: Build systems that understand enterprise architecture patterns better than most architects, automatically discovering waste and optimization opportunities.
- Take single-threaded ownership of core AI product areas, with end-to-end responsibility for customer success and business outcomes.
- Double as a Forward Deployed Engineer: Work regularly onsite with customers, and actually work with the systems.
- Every customer engagement becomes R&D for the platform, turning individual pain points into generalizable breakthroughs that serve the entire customer base

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

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

About the role:
We are looking for an experienced Senior Data Scientist / NLP Lead to spearhead the development of cutting-edge natural language processing solutions for the Ukrainian LLM project. You will lead the NLP team in designing, implementing, and deploying large-scale language models and NLP algorithms that power the products.

This role is critical to the mission of advancing AI in the Ukrainian language context, and offers the opportunity to drive technical decisions, mentor a team of data scientists, and shape the future of AI capabilities in Ukraine.
 

Requirements:
Education & Experience:
- 5+ years of experience in data science or machine learning, with a strong focus on NLP.
- Proven track record of developing and deploying NLP or ML models at scale in production environments.
- An advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred.

NLP Expertise:
- Deep understanding of natural language processing techniques and algorithms.
- Hands-on experience with modern NLP approaches, including embedding models, text classification, sequence tagging (NER), and transformers/LLMs.
- Deep understanding of transformer architectures and knowledge of LLM training and fine-tuning techniques, hands-on experience developing solutions on LLM, and knowledge of linguistic nuances in Ukrainian or other languages.

Advanced NLP/ML Techniques:
- Experience with evaluation metrics for language models (perplexity, BLEU, ROUGE, etc.) and with techniques for model optimization (quantization, knowledge distillation) to improve efficiency.
- Background in information retrieval or RAG (Retrieval-Augmented Generation) is a plus for building systems that augment LLMs with external knowledge.
ML & Programming Skills:
- Proficiency in Python and common data science libraries (pandas, NumPy, scikit-learn).
- Strong experience with deep learning frameworks such as PyTorch or TensorFlow for building NLP models.
- Ability to write efficient, clean code and debug complex model issues.

Data & Analytics:
- Solid understanding of data analytics and statistics.
- Experience in experimental design, A/B testing, and statistical hypothesis testing to evaluate model performance.
- Experience on how to build a representative benchmarking framework given business requirements for LLM.
- Comfortable working with large datasets, writing complex SQL queries, and using data visualization to inform decisions.

Deployment & Tools:
- Experience deploying machine learning models in production (e.g., using REST APIs or batch pipelines) and integrating with real-world applications.
- Familiarity with MLOps concepts and tools (version control for models/data, CI/CD for ML).
- Experience with cloud platforms (AWS, GCP or Azure) and big data technologies (Spark, Hadoop) for scaling data processing or model training is a plus.
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML, as well as ML workflow tools (MLflow, Airflow).
Leadership & Communication:
- Demonstrated ability to lead technical projects and mentor junior team members.
- Strong communication skills to convey complex ML results to non-technical stakeholders and to document methodologies clearly.

Responsibilities:
- Lead end-to-end development of NLP and LLM models - from data exploration and model prototyping to validation and production deployment. This includes designing novel model architectures or fine-tuning state-of-the-art transformer models (e.g., BERT, GPT) to solve project-specific language tasks.
- Analyze large text datasets (Ukrainian and multilingual corpora) to extract insights and build robust training datasets.
- Guide data collection and annotation efforts to ensure high-quality data for model training.
- Develop and implement NLP algorithms for a range of tasks such as text classification, named entity recognition, semantic search, and conversational AI.
- Stay up-to-date with the latest research to apply transformer-based models, embeddings, and other modern NLP techniques in the solutions.
- Establish evaluation metrics and validation frameworks for model performance, including accuracy, factuality, and bias.
- Design A/B tests and statistical experiments to compare model variants and validate improvements.
- Deploy and integrate NLP models into production systems in collaboration with engineers - ensuring models are scalable, efficient, and well-monitored in a real-world setting.
- Optimize model inference and troubleshoot issues such as model drift or data pipeline bottlenecks.
- Provide technical leadership and mentorship to the NLP/ML team.
- Review code and research, uphold best practices in ML (version control, reproducibility, documentation), and foster a culture of continuous learning and innovation.
- Collaborate cross-functionally with product managers, software engineers, and MLOps engineers to align NLP solutions with product goals and infrastructure capabilities.
- Communicate complex data science concepts to stakeholders and incorporate their feedback into model development.

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

About the project:

We are building a corporate AI Assistant powered by Microsoft Azure and OpenAI technologies. The system helps employees search, analyze, and generate internal documents. The long-term goal is to extend AI Assistant capabilities across all company departments.

To strengthen our team, we are looking for an experienced ML Architect (Azure AI / RAG) who will design and implement the machine learning architecture, integrate AI models, and ensure production-level performance and reliability.

Responsibilities:

• Design and implement AI architecture on Microsoft Azure (Azure ML, Cognitive Search, OpenAI, Databricks). 
• Build and manage RAG pipelines (Retrieval-Augmented Generation) and vector search systems. 
• Develop and optimize ML pipelines for embeddings, data preprocessing, and model evaluation. 
• Collaborate with DevOps and Data Engineer teams to ensure seamless integration and deployment. 
• Establish and maintain MLOps practices (model versioning, evaluation, monitoring). 
• Define and track AI performance metrics (latency, precision, recall, cost per request). 
• Create documentation (ADR, architecture diagrams, experiment tracking).

Requirements:

• 3+ years of experience in Machine Learning / AI / Data Engineering. 
• Strong background with Microsoft Azure ML / Cognitive Search / Databricks / OpenAI. 
• Proficiency in Python, FastAPI, LangChain / LlamaIndex, MLflow, Airflow. 
• Hands-on experience with vector databases (FAISS, Pinecone, pgvector, Cognitive Search). 
• Understanding of RAG, embeddings, prompt optimization, LLM orchestration. 
• Experience building MLOps / CI-CD for ML models in production. 
• English — Upper-Intermediate+ (for documentation and collaboration).

Will be a plus:

• Experience with Azure OpenAI Service, Azure Document Intelligence. 
• Knowledge of data governance, PII protection, cost optimization. 
• Background in AI-driven enterprise automation or corporate assistants.

We offer:

• Opportunity to design a core AI architecture from scratch and influence all key technical decisions. 
• Participation in a high-impact AI transformation project that scales across multiple departments. 
• Remote or hybrid work format, flexible schedule. 
• Transparent B2B / contract cooperation. 
• Supportive and technically strong team (DevOps, Data, Product).

How to apply:

Send your CV.
We will contact you shortly.

igTalents is a full-cycle recruitment agency dedicated to the iGaming industry. We partner with one of the market’s leading iGaming holdings, giving candidates access to unique growth opportunities. 

Our mission is to help iGaming professionals find the best roles and unlock their potential, supporting talent at every stage of the journey.
 

What Experience Is Important to Us:

• 2-3 years of experience in the finance department of a CPA network, advertising agency or gambling company
• Knowledge of basic accounting and financial processes
• Excellent skills in Excel / Google Sheets, confident handling of CRM systems and traffic reports
• Understanding of CPA / RevShare / media buying models
• Willingness to streamline workflows and implement automation

What You Will Do:

• Preparation and reconciliation of financial reports: comparing CRM data, deposits and budget plans
• Monitoring incoming payments from partners (accounts receivable) and controlling timely payouts to partners (accounts payable)
• Verifying the accuracy of reports on manual charges to partner's balances
• Controlling and verifying payouts under the affiliate program
• Coordinating and processing invoices, accounting for discounts, refunds, and compensation for provided services
• Providing financial support to partners
• Collaborating with the accounting team and affiliate department
• Optimizing financial processes and participating in reporting automation

Why you should consider this opportunity

• Remote-first format: Mon–Fri, 10:00–19:00 (UTC+2) — skip the commute.
• Paid vacation & sick leave, plus an extra day off for your birthday.
• Competitive compensation that fairly reflects your expertise and impact.
• Engaging corporate events to learn, share experience, and grow with like-minded professionals.
• No micromanagement: we trust our team, encourage initiative, and keep a flat hierarchy for fast decisions.
• Ongoing professional development: continuous support to build new skills and advance your career.
• Dynamic work environment: a profitable, forward-thinking company where every specialist plays a key role.

🚀 Join one of the strongest teams in iGaming and unlock your full potential!

One of the world's largest providers of products and services to the energy industry has a need to develop and support enterprise information system in Oil & Gas domain.
Product being developed is a cloud solution for interpretation of geological and geophysical data. Project is based on SCRUM methodology.
Our project is stable, long-term and constantly adopts new technologies such as newest Java and Eclipse RCP versions, cloud and GPU computing, microservices architecture and other innovative frameworks.
Work supposes close cooperation with Customer team located in Houston and following Agile principles.
Our team is senior, supportive and friendly.

• Responsibilities:

  • Collaborate closely with geophysicists, data scientists, and software engineers to translate scientific domain requirements into robust on-prem or Cloud software solutions.
  • Design, develop, and maintain high-performance applications for geophysical and geological data analysis, interpretation and visualization (e.g., seismic, horizon, fault, velocity model, etc.)
  • Ability to break down development tasks and lay out clear implementation roadmaps.
  • Implement and optimize computation algorithms
  • Ensure high code quality through unit testing, code reviews, security hardening and continuous integration with other domain tools
  • Provide technical support and lead user troubleshooting sessions to resolve issues and ensure smooth operation of an application
  • Mentor junior developers and actively contribute to architectural and
  implementation decisions.
  • Embrace Agile/Scrum methodologies, delivering and demonstrating working solutions at the end of each sprint
  • Stay current with emerging technologies and trends in geophysical computing and software development.

• Mandatory Skills Description:

  3+ years of experience in
  Python backend development
  fastAPI
  kafka
  Postgres

Dynamica Labs (Microsoft Gold Partner) is looking for a Video Editor to help take our online presence to the next level. 
In this role, you will create videos that grow our YouTube channel, podcasts, and other content formats - from educational materials for IT professionals to content for top-level corporate executives.  
This is an excellent opportunity for a professional who wants to work with creative content, continuously develop their skills, and build a long-term collaboration. 

What you will do: 

• Create and edit content in various formats, including: 
• Interviews 
• News digests 
• Internal corporate videos 
• Short social media clips 
• Edit and optimize podcasts for YouTube, Spotify, and other audio platforms 
• Perform multi-camera and multi-track editing in Riverside 
• Edit long and short videos: trimming, intros/outros, subtitles, graphics 
• Add and mix audio effects, clean up speech tracks (remove pauses, clicks, filler sounds, etc.) 
• Repurpose content into formats suitable for different platforms 
• Write and refine video descriptions, titles, and tags to ensure engagement and discoverability 
• Ensure content quality, consistency, and timely delivery 
• Implement creative ideas that bring value to both the audience and the business 

We are looking for you if you: 

• Have proven experience working with YouTube channels and social media (YouTube, Facebook, Instagram, Telegram, LinkedIn) 
• Possess strong video and audio editing skills using Adobe Premiere, After Effects, and Riverside, and optionally are familiar with Canva, ChatGPT, or Spotify 
• Have experience with podcasts and multi-format content, including multi-camera and multi-track editing 
• Understand how to build a compelling story, write engaging titles and descriptions, and maintain viewer engagement 
• Are attentive to detail, capable of spotting and correcting imperfections, and ensuring high-quality output 
• Can combine strategic thinking with hands-on execution and manage multiple projects in a dynamic environment 
• Have B2+ English and communicate confidently in professional contexts 
• Are independent, proactive, creative, and open to feedback and growth 

What we offer: 

• London-based company, Microsoft Gold Partner and a systems integrator for businesses 
• Opportunities for self-realization and career growth 
• Qualified leadership and mature processes 
• Interesting and diverse projects 
• Friendly team that values initiative and creativity 
• Transparent payment system 
• Flexible schedule and remote work 
• Paid public holidays, annual leave, and sick leave 

How to apply: 

Send us: 

• A short description of why you are interested in this role and working with content 
• Links to 2-3 episodes or ideas you have developed and are proud of 

About MEGAVAST
MEGAVAST is an innovative IT company developing advanced software and code development tools that automate key stages of programming and project management. We are looking for a Stock market analyst in Kyiv — a proactive professional who will manage our investment portfolio, analyze market dynamics, and contribute to the company's financial growth.

About the Role
In this role, you’ll be responsible for monitoring global financial markets and executing investment strategies to optimize our portfolio's performance. You will combine deep analytical skills with a proactive approach to drive key investment decisions.

Key Responsibilities:

• Analysis of stock markets trends and news.
• Execution of purchase and sale transactions on the stock market.
• Optimization of trading strategies.
• Preparation of detailed analytical reports and presentations on market performance.
• Collaboration with the finance team to align trading activities with company goals.

Requirements:

• 1+ year of experience as a Stock market analyst or in a similar role.
• Knowledge of trading platforms.
• Strong understanding of financial models and valuation techniques.
• An analytical mindset and the ability to work with data.
• Proactive approach, high integrity, and accountability for results.
• Strong Intermediate English or higher.

What We Offer:

• Hybrid work format.
• Modern office in the centre of Kyiv, right next to the Olimpiyska metro station.
• Career growth opportunities.
• Competitive salary with guaranteed annual reviews and performance bonuses.
• Paid vacation, sick leave..
• Necessary equipment and tools for effective work.
• Friendly, result-driven team and regular corporate events.
   

Join MEGAVAST and take on a dynamic role that blends coordination, communication, and analytics — helping drive the success of an international IT company.

We need an AI Engineer who can work autonomously on complex agentic AI systems while contributing to our growing AI practice. You’ll work directly on client projects involving LLM agents, RAG systems, and AI model integration - not just building prototypes, but production systems that scale.
 

This isn’t a research role. This is hands-on engineering: building, deploying, iterating, and supporting AI applications that solve real business problems.
 

What You’ll Actually Do

Core Responsibilities (70% of time)

• Build agentic AI systems using LangChain, LangGraph, or similar frameworks
• Implement and optimize RAG pipelines with vector databases (PGVector, Pinecone, etc.)
• Integrate multiple LLM providers (OpenAI, Google Gemini, Anthropic Claude)
• Fine-tune models when off-the-shelf solutions don’t meet requirements
• Develop Python backends (FastAPI/Flask) that power AI applications
• Write production-quality code with tests, documentation, and proper error handling

Technical Ownership (20% of time)

• Design AI system architectures for new client projects
• Make build/buy decisions on AI tooling and infrastructure
• Conduct technical discovery with clients to understand requirements
• Estimate project complexity and technical feasibility

Team Collaboration (10% of time)

• Code reviews for junior AI engineers
• Knowledge sharing on AI patterns and best practices
• Client communication on technical approaches and trade-offs

Our Current Tech Stack 

AI/ML:

• LangChain, LangGraph for agentic systems
• OpenAI GPT-4, Google Gemini, Anthropic Claude
• PGVector for embeddings and retrieval
• Fine-tuning pipelines (OpenAI, Gemini)

Backend:

• Python 3.11+ (FastAPI primary, Flask acceptable)
• PostgreSQL with PGVector extension
• Google Cloud Run, Cloud Functions

Infrastructure:

• Google Cloud Platform (BigQuery, Cloud SQL, Cloud Run, Vertex AI)
• Firebase/Supabase for user management
• Docker for containerization

Frontend Integration:

• REST APIs consumed by React/TypeScript frontends
• Real-time capabilities (WebSockets, Server-Sent Events)

Development:

• Git/GitHub for version control
• Linear for project management
• Bolt.new for rapid prototyping (you won’t use this much)

Must-Have Skills
 

Technical Requirements

• 4+ years of professional Python development - You’ve built production systems, not just scripts. You understand design patterns, testing strategies, and code that scales.
• 2+ years building production AI/LLM applications - Real systems serving real users, not just experiments or prototypes. You’ve handled model deployment, monitoring, and iteration based on production feedback.
• Expert-level Python engineering - You write clean, maintainable, testable code. You can explain the difference between "staticmethod" and "classmethod" and actually care about it. You’ve debugged memory leaks, optimized performance bottlenecks, and know when to use async/await.
• Deep LangChain/LangGraph experience - You’ve built multi-agent systems with complex orchestration. You understand the framework’s internals well enough to work around its limitations. You’ve debugged agent loops, optimized token usage, and handled error states gracefully.
• RAG implementation expertise - You’ve built RAG systems that actually work in production. You understand chunking strategies, embedding models, hybrid search, re-ranking, and when RAG isn’t the right solution. You’ve tuned retrieval quality beyond the tutorial examples.
• Vector database expertise - PGVector, Pinecone, Weaviate, or equivalent. You’ve designed schemas, optimized queries, and handled millions of embeddings. You understand the trade-offs between different distance metrics.
• Production LLM integration - OpenAI, Anthropic, Google Gemini in real applications. You’ve handled rate limiting, cost optimization, prompt engineering, context management, and fallback strategies. You know how to debug hallucinations and improve consistency.
• Backend API development - FastAPI or Flask in production. You’ve designed RESTful APIs, handled authentication, managed database connections, implemented error handling, and written API documentation. You understand HTTP status codes and when to use which one.
• SQL and database design - PostgreSQL specifically. You write efficient queries, design normalized schemas, use indexes appropriately, and understand when to denormalize. You’ve debugged slow queries and optimized database performance.

Working Style Requirements

• Self-managed QA mindset - You write unit tests, integration tests, and think about edge cases before they become production bugs. You don’t need a QA engineer to tell you something doesn’t work.
• Pragmatic problem-solver - You prefer “simplest thing that works” over perfect solutions. You know when to refactor and when to ship. You understand technical debt is a tool, not a failure.
• Comfortable with ambiguity - Client requirements evolve mid-project. You adapt architecture without rebuilding from scratch. You ask clarifying questions but don’t wait for perfect specifications before starting.
• Strong technical communicator - You explain technical trade-offs to non-technical stakeholders. You write clear documentation. You give useful code review feedback. You can justify your architectural decisions.
• European timezone - Core hours overlap with UK (GMT/BST). You’re available for morning standups and client calls during UK business hours.

FAVBET Tech develops software that is used by millions of players around the world for the international company FAVBET Entertainment.

Main areas of work:

• Game Development — driving the end-to-end engineering process for innovative, engaging, and mathematically precise games tailored to global markets.
• Mechanics & Player Experience — overseeing the creation of core gameplay logic and features that maximize engagement and retention while also leading the development of back office admin panels for game configuration, monitoring, and operational efficiency.
• Data-Driven Game Design — implementing analytics and big data solutions to measure player behavior, guide feature development, and improve monetization strategies.
• Cloud Services — we use cloud technologies for scaling and business efficiency.

Responsibilities:

• Lead the design and development of interactive games with high-quality graphics and responsive gameplay, ensuring seamless integration of frontend and backend.
• Build and maintain scalable, fault-tolerant backend systems using modern server-side technologies and message queue solutions within a microservices architecture.
• Ensure optimal rendering performance, high frame rates, cross-device compatibility, and rich user interfaces using UI frameworks.
• Build a robust Back Office system for player management, retention campaigns, and personalized experiences.
• Design and implement data pipelines for real-time and batch processing using message queuing systems, relational databases, and other relevant technologies to support analytics and application optimization.
• Collaborate with DevOps to ensure smooth deployment and maintenance of services.
• Monitor system performance, implement caching, optimize network calls, and ensure low-latency gameplay under high concurrency.
• Define the technical roadmap, translate the company’s vision into actionable engineering plans, and oversee game delivery.
• Lead development managers, mentor teams, and foster a culture of collaboration, innovation, and accountability.
• Establish and enforce best practices for coding standards, QA, testing, and deployment.
• Promote adoption of emerging technologies in backend, frontend, and cloud infrastructure.
• Serve as an escalation point for complex technical issues and ensure system scalability, security, and reliability.
• Partner with product, design, and operations for cross-team collaboration.
• Oversee recruitment, retention, and career development of engineering teams.

Requirements:

• Extensive experience (10+ years) in software engineering.
• Proven track record in leading and managing teams of 25+ engineers, including development managers and individual contributors.
• Expertise in backend services and frontend development for interactive games. Node.js and Pixi.js preferred.
• Hands-on experience with message brokers and real-time, event-driven architectures. RabbitMQ preferred.
• Expertise in database design, covering SQL (e.g.: PostgreSQL, MySQL) and NoSQL (e.g.: MongoDB, Redis) for high-performance systems.
• Understanding of cloud platforms and container orchestration (Docker, Kubernetes).
• Deep understanding of software architecture, design patterns, and scalable system design for high-load gaming applications.
• Proven leadership in managing remote and distributed engineering teams.
• Proven experience applying Agile/Scrum methodologies and best practices in product development and team management.

We offer:

• 30 days off — we value rest and recreation.
• Medical insurance for employees and the possibility of training employees at the expense of the company, and gym membership.
• Remote work or the opportunity — our own modern lofty office with spacious workplace, and brand-new work equipment (near Pochaina metro station).
• Flexible work schedule — we expect a full-time commitment, but do not track your working hours.
• Flat hierarchy without micromanagement — our doors are open, and all teammates are approachable.

We’re seeking an IT Recruiter with 1-3 years of experience to join our team and help us grow by identifying and engaging top tech talent.

 Responsibilities:

— Manage the full recruitment cycle — from sourcing to job offers (70% of time)

— Source candidates via LinkedIn, Djinni, DOU, and other platforms

— Communicate with candidates via chat and online interviews

— Create job posts and interview scripts

— Keep candidate data up to date in CRM

— Coordinate technical interviews and test tasks with the team

— Working with the team (30% of all time) - helping with PTOs, birthday greetings, 1:1 quarter calls, duties and responsibilities statement, etc.

— Searching specialists for white label projects.

Requirements:

— 1-3 years of experience as an IT Recruiter or Talent Sourcer

— Understanding of developers’ roles and technology specifics

— Experience with sourcing tools and CRM systems

— Strong communication and organizational skills

— Verbal English level B2 or higher

— Attention to detail, proactivity, and responsibility

Will be a plus:

— Familiarity with HR processes (onboarding, offboarding, tracking vacations, etc.)

— Experience working with European candidates and conducting interviews in English

— Background in sourcing MERN stack developers

We offer:

— Competitive salary + performance bonuses

— Remote work

— Flexible schedule (part-time or full-time)

— Paid vacation (18 working days per year) and sick leaves

— Accountant support

To get the job:

— Please apply with your CV and a short cover letter highlighting your experience and achievements in IT recruitment.

Interview stages:

— HR interview

— Testing task

— Final interview with CEO

— Job offer

About the Role

We are seeking a talented and charismatic Technical Onboarding Engineer to join our team and act as the technical bridge to our B2B clients. Your primary mission will be to ensure new customers are successfully onboarded onto our cutting-edge cybersecurity platform. You will serve as the expert guide, demonstrating the platform's capabilities and teaching administrators how to leverage its features to protect their most sensitive data effectively.

This is a critical, client-facing role that combines technical expertise with outstanding communication skills. If you love technology and enjoy helping people solve real-world security challenges, this is the perfect opportunity for you. 🚀

About Our Product

Our platform is revolutionizing data security. We provide a next-generation solution that integrates sophisticated encryption methods with a user-friendly, password-free experience. This delivers true file-level security that goes far beyond the protections offered by standard operating systems and cloud service providers, giving businesses unprecedented control and peace of mind.

What You'll Do

• Lead Onboarding Sessions: Guide new B2B clients through the entire implementation and setup process via virtual meetings.
• Deliver Technical Training: Conduct detailed training sessions for platform administrators, explaining how to manage users, set policies, and monitor security events.
• Serve as a Product Expert: Act as the primary technical point of contact for clients during their initial weeks, answering questions and troubleshooting any setup issues.
• Translate Complexity into Clarity: Break down advanced cybersecurity concepts and platform features into simple, easy-to-understand language for both technical and non-technical audiences.
• Collaborate with Sales: Work closely with the account executives to ensure a seamless handover from the sales process to successful implementation.
• Gather Client Feedback: Collect insights from users to share with the product and engineering teams, directly contributing to the platform's evolution.

What You'll Bring

• IT & SysAdmin Experience: A strong, practical understanding of IT concepts, including system administration (Windows/macOS), file systems, user permissions, and general networking.
• Cloud Identity Experience: Specific experience with cloud identity and access management (IAM) platforms is essential. You must be comfortable with Microsoft Azure and Microsoft Entra ID (formerly Azure AD).
• Exceptional Soft Skills: You must be an excellent communicator, a patient listener, and a natural relationship-builder. Your ability to build trust and confidence with clients is paramount. 🤝
• Advanced English: Flawless written and verbal English communication skills are mandatory for interacting with our US-based clientele.
• Client-Facing Experience: Prior experience in a role like Technical Support, System Engineering, Technical Account Management, IT Consulting, or Integration Engineer.
• Problem-Solving Mindset: A proactive and analytical approach to identifying and resolving customer issues.
• Availability: The ability and commitment to work full-time during US business hours (EST) ⏰

Why You'll Love Working With Us

• Be at the Forefront of Cybersecurity: Work with a truly innovative product that is changing how businesses protect their data.
• Global, Remote-First Culture: Enjoy the flexibility of working from anywhere while being part of a connected and supportive team.
• High-Impact Role: See the direct results of your work as you successfully onboard clients and help secure their organizations.
• Medical Insurance in Ukraine;
• Multisport program in Poland;
• Offices in Ukraine and Poland;
• All official holidays;
• Paid vacation and sick leaves;
• Legal services and 24/7 lawyer protection;
• Tax & accounting services;
• The company provides all the necessary equipment;
• Fitness support upon request;
• English classes up to three times a week;
• The company pays 50% of the cost of refresher courses for any employee of the company;
• Workstation space;
• Mentoring and Educational Programs;

For our client, we are looking for an experienced PHP Developer who has worked with Laravel.

Must-Have: 

• 4+ years of experience with PHP. 
• Experience with PHP 8.1+ and Laravel 11+ 
• Understanding of OOP and SOLID principles 
• Experience with PostgreSQL, Redis. 
• Experience writing automated tests. 
• Good knowledge of Docker, Git, GNU/Linux. 
• Upper-Intermediate level of English. 

Nice-to-Have:

• Experience with AWS, RabbitMQ, Elasticsearch, MongoDB, and LLM. 

A product company is looking for a Support Tier 2 specialist for remote work.

This company is a leading provider of comprehensive solutions in the field of data and trading technologies in currency, financial and futures markets.

The company has created a product that allows international companies and banks to make instant transactions on global currency exchanges with minimal delay using its own low-latency gateway.
This solution gives customers a competitive advantage, as even fractions of a millisecond matter in the speed of execution.
 

The company is growing rapidly every year, constantly hiring IT specialists for various positions and has a stable position in the market. It is constantly evolving and launching new projects.
 

• Two stages of interviews are planned, including a meeting with the company's CEO.
   
• Requirements: experience in technical support (Tier 2 or Tier 3); experience with Linux; skills in working with logs and network stack.

About the project:

We are developing a corporate AI Assistant powered by Microsoft Azure and OpenAI technologies. The system helps employees find, analyze, and generate internal documents across various departments. Our goal is to build an intelligent, secure, and scalable solution for the entire organization.

To support this initiative, we are looking for a Technical Project Manager who can coordinate the engineering team, understand Azure and AI workflows, and ensure the project stays on track both technically and organizationally.

Responsibilities:

• Coordinate the work of DevOps, Data/LLM, and ML Architecture teams. 
• Manage planning, prioritization, and delivery of technical tasks. 
• Track progress and blockers using Jira/Notion/Planner. 
• Communicate with stakeholders and prepare project reports. 
• Translate technical concepts (Azure, RAG, ML pipelines) into clear status updates for management. 
• Facilitate sprint planning, reviews, and retrospectives. 
• Maintain project documentation and roadmap.

Requirements:

• 3+ years of experience in IT project management or coordination. 
• Understanding of Microsoft Azure ecosystem (Storage, Key Vault, App Service, Function Apps, DevOps). 
• Familiarity with AI/ML workflows, including RAG, embeddings, model deployment. 
• Knowledge of Agile/Scrum practices and tools (Jira, Confluence, Trello, Notion). 
• Strong communication and organizational skills. 
• English — Upper-Intermediate+ for technical communication.

We offer:

• Opportunity to work on a high-impact AI transformation project with real business value. 
• Direct influence on project roadmap and delivery. 
• Collaboration with an experienced engineering team. 
• Flexible schedule and remote/hybrid work format.

Send your CV.
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Our client promoting two products the online casino is currently seeking a Data Analyst.

Responsibilities:
• Performing ad-hoc research requests from stakeholders.
• Conducting product experiments. Making forecasts.
• Analyze ad-hoc requests and tasks.
• Automate routine queries and share data with other team members.
• Share user insights with different teams (marketing, retention, SEO, product, development).
• Apply new approaches to data visualization, data-driven storytelling, and share successes and failures with the analytics team.
• Take part in improving data infrastructure.

Qualifications:
• A minimum of 2+ years of experience as a Product/Data Analyst, relevant experience in data analytics with a focus on product metrics.
• Monitoring and analyzing key product and payment funnel metrics
• Working with user segments (incl. high-value customers)
• Identifying anomalies in KPIs and finding their root causes
• Generating hypotheses and uncovering growth opportunities
• Supporting the development of our BI infrastructure (database + dashboards)
• Contributing to business planning and modeling
• Knowledge in mathematical statistics and probability theory AB testing experience
• Advanced level of SQL.
• Advanced experience using Looker Studio, Power BI, Tableau, etc.
• Python.
• High level of communication skills.
• High level of self-organization, discipline, strategy, and result orientation.

Nice to have:
• Machine learning and other AI experience
• Experience with mobile games or gambling
• Experience in implementing a product metrics system or part of it.
• Amplitude, MixPanel.
• Participation in the creation of an analytical data warehouse.