Jobs at Djinni

About Digis:
Digis is a European IT company with 200+ specialists delivering complex SaaS products, enterprise solutions, and AI-powered platforms worldwide. We ensure transparency, stability, and professional growth opportunities for all our team members.

About the Project:
A leading digital agency providing bespoke website design, technology solutions, and dynamic marketing strategies to Luxury Hotel Brands worldwide. We work strategically with hotels, understanding their ambition, and we work with them to maximize their direct booking strategy. Our difference is the combined optimization of Strategic Planning, Technology, and Service across the complete customer journey that powerfully boosts results. The head office is in Galway, Ireland, with a sales office in London and a development team in Tenerife.
The Team: CTO, Head of Engineering, Dev Team, Scrum Master (from Digis), Manual QA

Requirements:

• 5 years of QA professional experience.
• 3+ years of AQA experience (C#, .Net)
• 2+ years of Azure CI/CD and Azure DevOps/GitHub Actions experience.
• Upper-Intermediate level of English

Project Advantages:

• QA ownership from day one.You own automated testing for Aró’s new booking engine and set the quality baseline for future releases.
• Framework-first automation.Build a scalable automation framework + reusable components, using Playwright/Cypress/Selenium.
• Real integration complexity.Cover booking logic, APIs, payment gateways, and third-party systems (not just UI checks).
• CI/CD baked in.Embed automated tests into Azure CI/CD for continuous testing and early defect detection.
• Strong QA infrastructure work.Stable environments, datasets, mocks/stubs, test harnesses, and environment parity with DevOps.
• Full quality scope.Touch performance, accessibility, and security dimensions, not only functional testing.
• Premium domain with real business impact.Luxury hotel brands rely on direct bookings, so quality directly affects revenue and customer experience. Your work protects the funnel and the brand reputation.
• Collaborative, senior environment.You will partner closely with DevOps and Engineering, with the space to propose improvements, strengthen release confidence, and make QA a first-class part of delivery.

Responsibilities:

• Create a scalable automation framework with reusable components and clear structure.
• Design integration test coverage for complex flows involving booking engine logic, APIs, payment gateways, and third-party systems.
• Embed automated tests within Azure CI/CD pipelines to support continuous testing and early detection of defects.
• Set up and maintain the QA infrastructure required for stable testing environments

We Offer

• 20 paid vacation days per year
• 5 paid sick leaves per year (no medical documents required)
• Personalized development plan with training compensation
• English courses compensation
• Work equipment if needed (PC / laptop / monitor)
• Flat and transparent internal communication
• Opportunity to switch between projects and technologies within Digis
• Full accounting and legal support

Are you passionate about building cutting-edge, AI-ready data platforms from the ground up? We are looking for a Senior Data Engineer to join our Data Engineering Team and lead high-impact, greenfield initiatives.

You will work on building modern cloud-native data platforms, migrating on-premises legacy systems to the cloud, and laying the architectural foundation for AI-ready data infrastructure.

In this role, you will collaborate closely with Machine Learning, Data Science, and Product teams, serving as a key technical contributor and thought leader. You will also drive R&D efforts around agentic AI architectures, event-driven systems, and LLM-ready data pipelines — turning architectural concepts into production-grade solutions.

Responsibilities:

• Design and build scalable, cloud-native data platforms from greenfield to production
• Implement near-real-time ingestion pipelines using event-driven patterns
• Define and enforce platform standards, including Data Lake / Lakehouse principles, medallion architecture, and data contracts
• Refactor and optimise existing Spark and PySpark scripts for performance and maintainability
• Introduce best practices for code quality, testing, and CI/CD across data pipelines
• Drive adoption of AI tooling and agentic workflows within the data engineering team
• Ensure data quality, observability, and reliability across all pipelines and platforms

• Develop self-service tooling and microservices to simplify platform usage for other teams

   

Requirements:

• 5+ years of professional experience in Data Engineering
• Strong Python and SQL development skills for pipeline development and optimisation
• Proficiency in Apache Spark / PySpark, including query optimisation and performance tuning
• Hands-on experience with Databricks (preferred) or Snowflake
• Experience with at least one major cloud provider: Azure (preferred), AWS, or GCP
• Experience with stream processing technologies (Kafka, Spark Structured Streaming)
• Solid understanding of ETL/ELT patterns, data modelling (dimensional, Data Vault), and data warehousing
• Experience with orchestration tools (Apache Airflow, Azure Data Factory, or equivalent)
• Knowledge of Infrastructure as Code (Terraform or equivalent)
• Understanding of production-grade system requirements: reliability, scalability, observability, and performance

• Upper-Intermediate English level

   

Will be a plus

• Familiarity with RAG pipeline design and LLM integration patterns
• Knowledge of data governance frameworks and tools (Unity Catalog, Apache Atlas, or similar)
• Experience with dbt for data transformation and modelling

• Familiarity with MLflow, Feature Stores, or ML platform integration

   

Personal profile

• Self-driven and proactive in identifying improvements
• Comfortable working in a fast-paced, innovative environment
• Strong problem-solving mindset with attention to detail
• Open to experimenting with emerging technologies and approaches

_____________________________________________________________

Ти захоплюєшся створенням передових, AI-ready дата-платформ з нуля? Ми шукаємо Senior Data Engineer, щоб ти приєднався(-лася) до нашої команди Data Engineering та очолив(-ла) масштабні, інноваційні ініціативи з нуля.

Ти працюватимеш над побудовою сучасних хмарних дата-платформ, міграцією локальних (on-premises) легасі-систем у хмару та створенням архітектурного фундаменту для AI-ready дата-інфраструктури.

У цій ролі ти тісно співпрацюватимеш з командами Machine Learning, Data Science та Product, виступаючи ключовим технічним експертом та лідером думок. Також ти вестимеш R&D-роботи над agentic AI-архітектурами, подієво-орієнтованими системами та LLM-ready дата-пайплайнами — перетворюючи архітектурні концепції на готові до продакшену рішення.

Обовʼязки:

• Проєктувати та створювати масштабовані, хмарні дата-платформи від концепції до продакшену
• Реалізовувати пайплайни для майже реального часу (near-real-time ingestion) з використанням подієво-орієнтованих патернів
• Визначати та впроваджувати стандарти платформи, включно з принципами Data Lake / Lakehouse, медальйонною архітектурою та дата-контрактами
• Рефакторити та оптимізувати наявні скрипти на Spark та PySpark для підвищення продуктивності та зручності підтримки
• Запроваджувати найкращі практики якості коду, тестування та CI/CD для дата-пайплайнів
• Сприяти впровадженню AI-інструментів та agentic-підходів у команді дата-інженерів
• Забезпечувати якість, спостережуваність (observability) та надійність усіх пайплайнів і платформ

• Розробляти self-service інструменти та мікросервіси, що спрощують використання платформи іншими командами

   

Вимоги:

• 5+ років комерційного досвіду в Data Engineering
• Сильні навички розробки на Python та SQL для створення та оптимізації пайплайнів
• Впевнене володіння Apache Spark / PySpark, включно з оптимізацією запитів та налаштуванням продуктивності
• Практичний досвід роботи з Databricks (бажано) або Snowflake
• Досвід роботи з принаймні одним великим хмарним провайдером: Azure (бажано), AWS або GCP
• Досвід роботи з технологіями потокової обробки даних (Kafka, Spark Structured Streaming)
• Глибоке розуміння ETL/ELT-патернів, моделювання даних (dimensional, Data Vault) та побудови дата-складів
• Досвід роботи з інструментами оркестрації (Apache Airflow, Azure Data Factory або аналогами)
• Знання Infrastructure as Code (Terraform або аналогів)
• Розуміння вимог до продакшен-рішень: надійність, масштабованість, спостережуваність, продуктивність

• Рівень англійської — Upper-Intermediate

   

Буде плюсом:

• Знайомство з проєктуванням RAG-пайплайнів та патернами інтеграції LLM
• Знання фреймворків і інструментів для data governance (Unity Catalog, Apache Atlas або подібних)
• Досвід роботи з dbt для трансформації та моделювання даних

• Знайомство з MLflow, Feature Stores або інтеграцією з ML-платформами

   

Особистий профіль:

• Самомотивованість та проактивність у пошуку покращень
• Комфортна робота у швидкому та інноваційному середовищі
• Сильне аналітичне мислення та увага до деталей
• Відкритість до експериментів з новими технологіями та підходами

We’re seeking an independent and self-driven Middle Product Manager to help in building a new AI & trading product, defining the next steps, and scaling it.

Responsibilities and duties
 

• Product development: lead the product to launch and drive key business goals in the AI & trading B2C product.
• Strategic planning and execution: drive the strategic planning of the product, from initial concept to execution, ensuring that all product initiatives align with business objectives.
• Market analysis and research: conduct thorough market and competitor analysis to understand industry trends and identify opportunities for product innovation.
• Hypothesis Testing and Validation: develop and test hypotheses through A/B testing and other validation methods to refine and improve product features.
• Analytics and data Interpretation: understand the market & user data, understand it, and distill into actionable insights for product development and enhancement.
• Product roadmap development: craft and maintain a dynamic product roadmap that reflects both short-term and long-term product vision and strategy.
• Backlog management: effectively manage and prioritize the product backlog, ensuring alignment with strategic goals and user needs.
• User needs assessment: continuously assess user needs and feedback, integrating this information into product development to enhance user satisfaction and engagement.
• Cross-functional collaboration: collaborate with teams of developers, designers, marketers and operations team; external partners and stakeholders to align everyone on product goals, expectations, and plans.
• User scenarios and prototyping: design user scenarios while keeping in mind UX, and build low-fidelity product prototypes to cover the product appearance and flow.
   

Requirements:

Experience:

• 2-4 years of proven experience in Product Management.
• Launching products from scratch.
• Background in Web3 startups.

Hard skills: 

• Cryptocurrency /trading.
• Prioritization, market research, customer research, data analytics.
• Experience in A/B testing; understanding of basic UI & UX design principles.
• Customer journey design, wireframing, technical specification writing.
• Experience with Jira, Confluence, Slack, Miro, Figma.

Soft skills:

• Ownership: responsibility for execution and driving measurable business results.
• Communication: ability to convey complex ideas simply and effectively.
• Self-organization: high degree of independence and initiative.
• Team Collaboration: commitment to fostering teamwork and supporting colleagues.

Would be a significant plus:

• AI product adoption (or direct experience in building them).
• Basic programming and technology understanding.

Overview

We are looking for a Flight Team Lead to head the flight team responsible for testing our flagship R&D product — a GPS-denied alternative navigation system. This is a hands-on leadership role: the right candidate is a senior UAV pilot and a strong technician who can also lead, plan, and grow a small team of pilots and technicians.

You will own the flight-testing function end-to-end: team coordination, mission planning, safety, equipment readiness, data quality, and feedback loops back into engineering and research.

Responsibilities

Team leadership & coordination

• Lead and grow the flight team (pilots, pilot-technicians, UAV technicians)
• Plan team workload, shifts, and field deployments
• Set and uphold standards for safety, pre-flight discipline, and equipment care
• Own the team’s Standard Operating Procedures (SOPs): write, update, and improve them as the product and operations evolve; ensure the team consistently follows them in the field
• Onboard, train, and mentor new team members
• Conduct post-flight debriefs and continuously improve team practices
• Be the primary point of contact between the flight team and engineering, research, QA, and integration teams

Mission planning & execution

• Plan and oversee flight test campaigns aligned with R&D and integration priorities
• Define test objectives, acceptance criteria, and risk mitigations together with engineers and researchers
• Ensure proper test documentation, flight logs, and reporting back to the teams that need the data

Technical ownership

• Own the readiness and configuration of the flight team’s UAV fleet
• Oversee maintenance, repairs, upgrades, and spare-parts logistics for airframes and supporting equipment
• Drive root-cause analysis of in-flight failures and turn findings into concrete improvements
• Contribute to selection, bring-up, and integration of new platforms

Requirements

Must-have

• 2+ years of real, hands-on UAV experience covering both piloting and technician work
• Significant real flight time on multirotor UAVs and/or fixed-wings
• Deep understanding of UAV core components (motors, ESCs, FCs, sensors, RC/telemetry links, power systems)
• Advanced Ardupilot expertise: tuning, parameters, custom configurations, failsafes, log analysis
• Strong experience with mission-planning software (Mission Planner)
• Proven diagnostic and repair skills for UAVs and supporting equipment
• Prior experience leading or coordinating a team in a technical / field-operations environment
• Ability to plan, prioritize, and run field campaigns end-to-end
• Strong safety mindset and discipline around procedures

Nice to have

• STEM (Science, Technology, Engineering, Mathematics) education
• Combat experience
• Experience working closely with R&D / engineering teams on test campaigns
• English at B1 level or higher

Personal qualities

• Strong sense of responsibility and ownership
• Calm and decisive under pressure
• Clear communicator with both engineers and field operators
• Mentor-oriented; invested in the growth of the team
• Attention to detail and a process-improvement mindset
• Initiative — moves the team forward without waiting to be asked

We offer

• Competitive salary
• Reservation from mobilization
• On-site work with access to hardware and lab facilities
• Office in Kyiv with shelter access, generator and Starlink
• Impact on improving our country's defense capabilities
• 21 days of vacation + public holidays, sick leaves

We integrate automation, AI, and robotics to build solutions in the security and defense space. Our focus: intelligent systems that combine embedded software, computer vision, and edge-AI for autonomous platforms.

We're looking for a researcher with a space background to help chart the path for our systems into space. This is an R&D role: you'll investigate the constraints of the space environment, analyze architectural solutions for platforms, and build the technical foundation for decision-making. Ideally, you've already taken part in space projects or studied/worked at a relevant university or research institution.

What you'll do:

• Research the impact of the space environment on our stack;
• Analyze architectural solutions for adapting our systems to platforms;
• Conduct comparative analysis of existing space platforms and missions — Earth observation, space domain awareness, orbital inspection, autonomous docking;
• Define technical requirements for adapting hardware and software to meet space standards;
• Assess commercial viability — identify target market segments, market size, and the competitive landscape;
• Prepare a structured R&D report with technical conclusions, feasibility recommendations, and a roadmap for further research and development;

• Work closely with the engineering team — translating space-domain constraints into concrete technical requirements.

   

Skills & Experience

Required:

• Academic or professional background in space engineering, aerospace, or a related discipline;
• Understanding of space environment physics — radiation effects (TID, SEE, displacement damage), thermal modeling, vacuum-induced material degradation;
• Knowledge of, or willingness to dig into, satellite system architecture — payload, onboard computers, communication subsystems;
• Experience with sensors or optoelectronic systems — understanding the limitations of cameras, optics, and detectors in extreme conditions;
• Systems analysis and scientific research skills — the ability to independently structure research, work with scientific publications, and draw well-founded conclusions;
• Self-direction and the ability to deliver structured results with minimal oversight.

Nice to have:

• Hands-on involvement in a space project, CubeSat mission, or university/research-institution R&D program;
• Familiarity with ECSS standards (E-ST-10, E-ST-20, Q-ST-60) or NASA technical standards;
• Understanding of approaches to space component selection and qualification;
• Background in optics, multispectral/hyperspectral imaging, or lidar systems;
• Experience writing R&D reports or scientific publications.

What we offer:

• Autonomy: complete freedom to choose your research methodology, modeling tools, and analytical approaches.
• Close to engineering: you'll work alongside a team building real systems for autonomous platforms.
• A unique domain: a rare chance to work at the intersection of two cutting-edge fields.
• Remote work: fully remote, flexible schedule, with set hours for team sync.
• Growth: the role can evolve into a permanent R&D position.
• Mission: a direct contribution to Ukraine's defense capability and Europe's security resilience.

If this sounds like you — don't wait, reach out today. We look forward to meeting you :)

Important: We expect AI tools to be part of your daily workflow. Candidates who primarily rely on traditional development approaches and do not actively use modern AI coding tools are unlikely to be a good fit for this role.

Are you an AI-driven Full Stack Engineer who uses modern AI tools to build faster, ship faster, and solve complex problems more efficiently?
 

At GT Protocol, we're not looking for traditional developers. We're building an AI-first engineering culture where AI is deeply integrated into the development workflow — from architecture and coding to testing, debugging, research, and product delivery.
 

We are looking for a Senior Full Stack Engineer who embraces AI-assisted development and understands how to leverage modern AI tools to maximize productivity and focus on solving real business problems rather than spending time on repetitive tasks.
 

About the Role

You will be working on GT Protocol's AI-powered trading and investment platform, helping build products used by thousands of users across Web3, CeFi, and DeFi ecosystems.
 

This role combines backend development, frontend development, AI integrations, trading infrastructure, blockchain analytics, real-time systems, and modern AI-driven engineering practices.
 

You will participate in designing and building scalable products while actively utilizing AI development tools as part of your daily workflow.
 

What We Expect from an AI-Driven Engineer

• Comfortable using AI coding assistants as a core part of the development process
• Experience working with tools such as Cursor, Claude Code, ChatGPT, Gemini, Copilot, Windsurf, or similar solutions
• Ability to effectively use AI for coding, architecture exploration, debugging, code reviews, documentation, testing, and research
• Strong focus on shipping results rather than maximizing manual coding hours
• Curiosity and willingness to continuously adapt to new AI-driven development workflows
• Understanding that AI is a productivity multiplier, not a replacement for engineering fundamentals
   

We believe the future belongs to engineers who can combine strong technical skills with the ability to leverage AI effectively. Our goal is to build a team that operates significantly faster than traditional software teams while maintaining high engineering standards.
 

Responsibilities and Duties

• Participate in the design, development, and maintenance of a sophisticated AI-powered trading platform serving thousands of users worldwide
• Develop and maintain backend services using Python, FastAPI, PostgreSQL, MongoDB, and Redis
• Build modern frontend applications using React, Next.js, TypeScript, and Tailwind
• Integrate centralized and decentralized exchanges, blockchain networks, and third-party APIs
• Design and implement real-time systems using WebSockets, Socket.IO, asyncio, and event-driven architectures
• Develop AI-powered features, portfolio analytics, trading automation, and market intelligence tools
• Build and maintain Telegram-based products and AI assistants
• Collaborate closely with Product Managers, Designers, AI Engineers, and other Developers
• Participate in architectural decisions, code reviews, and continuous platform improvements
• Ensure high performance, scalability, and security across all platform components
   

Work Experience

• 4+ years of commercial software development experience
• Experience building production-grade web applications and APIs
• Experience working with cryptocurrency, trading, fintech, Web3, or blockchain products
• Experience working in distributed remote teams
• Bachelor's degree will be a plus
   

Required Skills

• Strong Python knowledge, FastAPI, asyncio, aiohttp, websockets, SQLAlchemy 2.x (async), PostgreSQL, MongoDB, Redis
• JavaScript, TypeScript, React 18+, Next.js, Redux / Redux-Saga, Tailwind CSS
• Docker, Docker Swarm, Linux, Git
• JWT, RBAC, bcrypt, OTP authentication flows
• aiogram 3, CCXT, web3.py, Solana SDK, Alchemy, CoinGecko, GeckoTerminal APIs
• Cursor, Claude Code, ChatGPT, Gemini, Copilot, Windsurf, or similar
• Experience integrating external APIs
• Understanding of scalable distributed systems
• Experience with real-time applications
   

Will Be a Plus

• Personal projects
• English – B2+
   

About GT Protocol

GT Protocol (Global Trading Artificial Intelligence) is an AI-powered crypto trading ecosystem founded in 2021 and the ultimate AI infrastructure for trading.

GT Protocol enables users to build, backtest, optimize, launch, and execute trading strategies using fully automated AI-driven bots across centralized and decentralized crypto markets (CEX and DEX). Its products provide AI-powered infrastructure for strategy creation, optimization, backtesting, and automated execution across the crypto trading ecosystem.
 

Why GT Protocol?

— Over 100,000 users worldwide trust our products.

— Our platform combines AI, blockchain, trading infrastructure, and Web3 technologies into a single ecosystem.

— We process millions of market data events and integrate with major exchanges and blockchain networks.

— Our team includes experts from Europe, Asia, and the United States working remotely and collaboratively across multiple time zones.

— GT Protocol is backed by industry-leading investors and partners, including BNB Chain, Animoca Brands, ChainGPT, DAO Maker, CoinPayments, and others.

— We are regularly featured by major crypto and technology media and participate in leading blockchain conferences worldwide.

— You'll work on products at the intersection of AI, fintech, trading, and Web3 while helping shape the future architecture of the platform.

Currently, our team consists of talented professionals located across multiple countries. Our main office is based in Odessa, Ukraine; however, many team members work remotely worldwide.

Join something big — be a part of GT Protocol and help build the future of AI-powered investing.

Overview

We are looking for an experienced UAV Pilot-Technician (multirotor) to join the flight team responsible for testing our flagship R&D product — a GPS-denied alternative navigation system. The candidate must confidently operate drones, be technically literate, have a deep understanding of UAV core components, and hands-on experience with Ardupilot-based systems.

The role combines hands-on piloting of multirotor UAVs with testing and technical support of all flight-related aspects.

Responsibilities

• Pilot multirotor UAVs & fixed-wings in field-testing scenarios
• Perform pre-flight checks and UAV setup
• Maintain airframes and supporting equipment
• Support flight planning and adherence to safety procedures
• Troubleshoot and repair UAV hardware issues
• Record and report flight data as needed
• Collaborate with engineers during testing and development of new platforms

Requirements

Must-have

• Real flight time on multirotor UAVs
• Solid understanding of how core UAV components work
• Advanced-user level of Ardupilot
• Experience with mission-planning software (Mission Planner)
• Ability to safely operate a drone in field conditions
• Diagnostic and repair skills for UAVs and supporting equipment

Nice to have

• STEM (Science, Technology, Engineering, Mathematics) education
• Experience with fixed-wing UAVs
• Combat experience
• English at B1 level or higher

Personal qualities

• Responsibility
• Attention to detail
• Communication skills and ability to work in a team
• Initiative

We offer

• Competitive salary
• Reservation from mobilization
• On-site work with access to hardware and lab facilities
• Office in Kyiv with shelter access, generator and Starlink
• Impact on improving our country's defense capabilities
• 21 days of vacation + public holidays, sick leaves

We are looking for a Promo Manager to join our team. This role will involve the creation and timely delivery of emails, bonuses, web pushes and other required communications. Would you like to develop your skills and your career at an innovative company that will take your career to the next level? Then we would love to hear from you!

HOW YOU WILL MAKE AN IMPACT

• You will be responsible for the timely creation and delivery of emails, push notifications, pop-ups, and SMS campaigns for our brands;
• You will perform user segmentation to ensure relevant and effective communication;
• Your tasks will include setting up, testing, and monitoring bonus mechanics;
• You will be responsible for publishing promotional materials on websites;
• You will fully support the campaign creation process, collaborating closely with copywriters, designers, game managers, and the product team;
• You will monitor the spam rate of your campaigns and promptly handle unsubscribe requests or spam complaints;
• You will apply a basic understanding of email marketing best practices — including proper audience selection (e.g., excluding unsubscribed or blocked users).

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• At least 1 year of experience in email or CRM marketing;
• Experience working with tools like Customer.io (or similar platforms);
• Intermediate level of English or higher;
• Understanding of user segmentation principles and content creation;
• Strong attention to detail and a responsible approach to tasks;
• Basic knowledge of HTML will be a plus.

WILL BE A PLUS

• Experience working with analytics to evaluate campaign performance and understand user behavior;
• Ability to analyze market trends and collect best practices;
• Interest in developing analytical skills within CRM/retention marketing.

HOW WE WILL KEEP YOU SMILING

• Flexible working hours and a remote work setup, so you can plan work around your life and not your life around work!
• Unlimited vacation days and paid sick leave—because your rest matters.
• A competitive compensation that truly reflects your skills and expertise.
• Employee referral bonus and gifts to celebrate your special occasions.
• 50% financial support for learning expenses to supercharge your professional growth!
• A positive atmosphere where you always feel respected and truly belong.
• Inspirational team-building activities that turn colleagues into best friends.
• Wellness benefits: We’ll support your sports passions, from yoga classes to gym memberships.
• Co-working space reimbursement to save your nerves from always working from home :)

We are looking for a Senior DevOps Engineer to design, build, and operate scalable, highly available infrastructure on AWS. This role is primarily focused on AWS-native container platforms, while also requiring hands-on Kubernetes experience for hybrid workloads, tooling, and platform support.

Experience Level

• 5+ years of professional experience in DevOps, SRE, or cloud infrastructure roles
• 3+ years of hands-on experience operating production workloads on AWS

What You’ll Do

• Design and manage AWS infrastructure using Terraform
• Build and maintain CI/CD pipelines using Jenkins and GitHub Actions
• Deploy, operate, and scale containerized applications using AWS-native container services, including: 
  • Amazon ECS and ECS on Fargate
  • Amazon ECR
  • Application and Network Load Balancers
• Configure and tune autoscaling, high availability, and fault-tolerant architectures
• Work with Kubernetes environments, including cluster-level operations and local cluster setup for development
• Support and improve local developer build environments
• Ensure production systems are reliable, secure, and observable

What We’re Looking For

• Strong hands-on experience with AWS and Infrastructure as Code (Terraform)
• Production experience running containers on ECS and/or Fargate
• Hands-on experience with Kubernetes, including working with clusters in production or development environments
• Solid understanding of autoscaling, redundancy, and resilient system design
• CI/CD expertise with Jenkins and GitHub Actions
• Strong Linux, networking, and troubleshooting skills

Nice to Have

• Experience operating EKS or hybrid ECS/Kubernetes environments
• GitOps or deployment automation experience
• Familiarity with AWS observability and cost-optimization tooling
• AWS certifications

We are looking for a strong Computer Vision and Geospatial AI engineer to work on an AI product in the defence tech domain. The project is long-term and technically challenging

Responsibilities

• Development and optimization of the Computer Vision pipeline
• Working with video streams and processing low-quality video input
• Implementation of cross-view feature matching and image retrieval
• Building and indexing a georeferenced tile database
• Object georeferencing and spatial analytics
• Optimization of inference latency and performance
• Participation in system architecture design

Requirements

Must-have

• 4+ years of experience in Computer Vision / Deep Learning
• Hands-on experience with geo-localisation, place recognition, or image retrieval
• Feature extraction with foundation models: DINOv2, CLIP, or equivalent
• Keypoint detection and matching: LightGlue, LoFTR, DISK, SuperPoint
• Contrastive / metric learning: InfoNCE, triplet loss, hard negative mining
• Homography estimation and geometric verification
• Experience with satellite imagery and geospatial data
• Coordinate systems, tile indexing, GDAL
• Vector search: FAISS or other ANN libraries
• Python, PyTorch at production level
• Experience with video pipelines
• Linux, Docker

Nice to have

• PhD in Computer Vision, Photogrammetry, Remote Sensing, Geomatics, or Robotics
• Publications in cross-view localisation, visual SLAM, or UAV navigation
• Experience with degraded or compressed video
• TensorRT, ONNX, edge deployment
• CUDA
• Background in defence, aerospace, or robotics

We are looking for someone who

• Can work not only with ML models but also with production systems
• Can independently build a pipeline and make technical decisions
• Has a practical engineering mindset
• Reads and implements recent research papers
• Understands performance bottlenecks

Tech stack

Python, PyTorch, DINOv2, CLIP, LightGlue, LoFTR, FAISS, GDAL, FFmpeg, Docker, Linux

Work format

• Remote
• Full-time or B2B contract
• Long-term project
• Competitive salary, discussed individually

Domain experience is a plus

• Defence tech
• Drone systems
• Satellite imagery / Remote sensing
• Visual geo-localisation
• ISR / geospatial analytics

We’re looking for a talented Fullstack Engineer with strong experience in Python, React.js, and AWS to join our team in an outstaff role for our client - a startup developing a CRM and project management platform for construction companies

You’ll be working directly with our core team, contributing to architecture decisions, implementing new features, and helping build a scalable, modern SaaS product in Agile environment

 

Frontend

• Experience with React.js
• Strong knowledge of JavaScript/TypeScript
• Experience with Redux
• Experience with AntDesign or similar UI libraries

Backend

• Strong experience with Python (Django)
• Experience with PostgreSQL or other relational databases
• Understanding of SOLID principles and common design patterns
• Experience with AWS and Docker

Nice to have:

• Experience with AI API Integrations

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 are looking for a highly organized and proactive Project Administrator (PMO) to support the operational coordination of our consulting delivery team.

This role is not about “just admin tasks” — you will be directly involved in delivery processes, reporting, and maintaining operational discipline across projects.

You will work closely with Project Managers and Service Delivery Managers, helping them keep projects structured, transparent, and under control.

Responsibilities

Operational delivery & control

• Monitor project activities and ensure SLA and communication standards are followed
• Identify risks / deviations and escalate them proactively

Reporting & transparency

• Coordinate timesheet collection and validate data accuracy
• Prepare operational reports (status, incidents, Plan vs Actual, etc.) [PMO | Word]

Project support

• Support PMs in managing workflows (ServiceNow / Azure DevOps)
• Create and maintain tasks, work items, and project structures

Meetings & communication

• Participate in project meetings, prepare clear minutes (MM)
• Track action items and ensure follow-ups are completed

Documentation & processes

• Maintain project documentation and PMO guidelines

• Support ongoing improvement of internal processes
   

  Candidate profile

• We are looking for someone who:
• Has English B2+ (written & spoken)
• Has basic understanding of project management principles
• Is familiar with tools like Jira / Azure DevOps / ServiceNow (or ready to learn)
• Is highly organized and detail-oriented
• Has strong ownership mindset and accountability
• Can communicate confidently with team and clients

• Thinks proactively and notices problems before they escalate

   

   Background:
  Bachelor’s degree in Business / Management / IT or similar is a plus

We offer

• Work in an international consulting team (Microsoft ecosystem)
• Structured environment (PMO processes, delivery standards)
• Real involvement in live projects
• Clear growth path → Project Manager / SDM
• Learning & development support

Наш клієнт, Growe, провідна консалтингова компанія та група сервісів у сфері iGaming і розваг. Вони створюють стратегії, що працюють, та рішення, які масштабуються. Поєднуючи стратегічне бачення з практичним досвідом, Growe допомагає бізнесам орієнтуватися в динамічній індустрії, відкривати нові можливості, виходити на нові ринки та досягати сталого зростання.
 

Ідеально для тих, хто прагне:

• Працювати з ризик-алертами казино та платіжними ризиками в реальному часі;
• Виявляти фрод та підозрілу поведінку гравців;
• Аналізувати транзакції, платіжні методи та ризикові сигнали;
• Вирішувати ризик-кейси відповідно до внутрішніх процедур;
• Долучатися до покращення ризик-процесів та операцій;
• Працювати в позмінному графіку: 06:00–14:00 або 14:00–22:00, графік 5/2;
• Співпрацювати з командами Risk, Payments та іншими командами.
   

Досвід, який стане твоєю перевагою:

• 1+ рік досвіду в Risk, Fraud, Payments, Fintech або суміжних напрямах;
• Сильні аналітичні та числові навички;
• Досвід роботи з Excel / Google Sheets;
• Здатність швидко оцінювати ризики та приймати рішення;
• Рівень англійської — Intermediate.
   

Ми цінуємо:

• Високий рівень уваги до деталей;
• Структурне мислення;
• Здатність працювати як самостійно, так і в команді;
• Високий рівень відповідальності та надійності;
• Хороший тайм-менеджмент і вміння пріоритизувати задачі.
   

Наші клієнти пропонують конкурентні переваги для підтримки вашого професійного та особистого зростання, зокрема:

• Орієнтація на здоров’я та добробут;
• Глобальне медичне страхування;
• Можливості для зростання;
• Програми бенефітів (компенсація спорту / стоматології / психолога тощо);
• Бонуси за досягнення результатів;
• Динамічне робоче середовище.

Долучайся — і нехай твоя історія зростання розпочнеться.
 

English version:

Our client, Growe, is a leading business advisory and services group in iGaming and Entertainment. Сreators of strategies that work and solutions that scale. Combining strategic vision with hands-on expertise, Growe helps businesses navigate the fast-evolving industry, seize new opportunities, enter new markets, and achieve sustainable growth.
 

Perfect for those who aim to:

• Work with casino & payment risk alerts in real time;
• Detect fraud and identify suspicious player behavior;
• Analyze transactions, payment methods, and risk signals;
• Resolve risk cases based on internal procedures;
• Contribute to improving risk processes and operations;
• Work in rotating day and evening shifts: 06:00–14:00 or 14:00–22:00, 5/2 schedule;
• Collaborate with Risk, Payments, and other teams.
   

Experience you’ll need to bring:

• 1+ year of experience in Risk, Fraud, Payments, Fintech, or related fields;
• Strong analytical and numerical skills;
• Experience with Excel / Google Sheets;
• Ability to quickly assess risks and make decisions;
• At least an Intermediate level of English.
   

It’s a perfect match if you have those personal features:

• High level of attention to detail;
• Structured thinking;
• Ability to work both independently and as part of a team;
• High level of responsibility and reliability;
• Good time management and ability to prioritize tasks.
   

Our clients offer competitive benefits to support your professional and personal growth, including:

• Health & Wellness Focus;
• Global Medical Coverage;
• Growth Opportunities;
• Benefits Programs (compensation for the gym/stomatology/psychological service & etc.);
• Performance-Driven Rewards;
• Dynamic Work Environment.

Apply, and let your growth journey begin.

DMT Business Development is a leading B2B lead generation and appointment setting agency. We create tailored & effective strategies for clients based on their needs and goals. Our team generated over 2m leads for hundreds of clients and booked 10k+ appointments with businesses of any scope.

Currently we have an open vacancy for Customer Success Manager.

Working conditions:
 

• Working hours: Monday-Friday, 2 PM to 10 PM (Kyiv time);
• 20 paid vacation days per year and company events.
• A young and friendly team environment.
• Benefits include company guarantees, bonuses, and corporate event.
  
  Responsibilities:
   
• Interact with existing customers;
• Get new projects started and develop strategies, manage campaigns;
• Organize customer service at the highest level;
• Assign tasks to the members of the team;
• Cooperate with other teams to reach goals;
• Provide feedback to the client about the work done;
• Ensure high team performance;
• Get feedback and scores from clients;
• Handle complaints and issues;
• Analyze the success of the project, search for the ways to improve company’s performance.
  
  Requirements:
   
• Experience working in an equivalent position (preferably);
• Excellent communication skills;
• Advanced written and spoken English;
• Good understanding of how to work with clients;
• Experience working with native English speakers.
  
   We aim to build a team of like-minded people who strive to show great results and are ready to tackle the challenges of the dynamic market!