Jobs at Djinni

About the Company

Neros is a defense technology company rebuilding America’s drone industrial base. We design and manufacture high-performance unmanned systems that are tested in combat, iterated at startup speed, and built at massive scale. Our team culture is fast, hands-on, and obsessed with closing the gap between design and deployment. As drones transform the character of warfare, Neros is delivering the systems the West needs to compete on the modern battlefield and deter the adversaries of democracy. We’re hiring engineers, operators, and builders who want to move fast, take on extreme ownership, and get capability into the hands of warfighters in months, not years.

Responsibilities

• Develop and enhance embedded software and new technical capabilities for the company’s products
• Collaborate with internal teams and external partners on system and component integrations
• Conduct R&D activities, prototyping, and validation of embedded solutions
• Bring embedded solutions to stable production-ready state and continuously improve them
   

Requirements

• 3+ years of commercial experience in C/C++ development
• Experience working as an embedded software engineer with microcontroller-based platforms, primarily STM32; experience with similar MCUs such as ESP32, NXP, Microchip, Nordic, or equivalent is also acceptable.
• Experience in system design (embedded systems, distributed systems, hardware–software integration)
• Knowledge of the UAV ecosystem (ExpressLRS, Betaflight, ArduPilot, OpenTX)
• Broad understanding of embedded system capabilities and ability to work on R&D-driven tasks
• English level: Upper-Intermediate (B2) or higher
   

Nice to Have

• Understanding of embedded or system architecture principles
• Experience with additional programming languages (Python, Lua)
• Exposure to computer vision or video processing projects (OpenCV or similar pipelines)
   

Working Conditions

• On-site work at the office in Kyiv, Ukraine
• Official employment
• Military booking for eligible candidates
• Medical insurance
• Work on products that are validated in real combat conditions with fast iteration cycles
• Collaboration with an international team of experienced engineers

We are looking for a Senior Go Developer to join our dynamic team and work on cutting-edge AdTech solutions. This role offers the opportunity to experiment with AI, LLMs, and emerging technologies while solving complex challenges in large-scale data processing.

Customer

Our customer is a global leader in contextual advertising with more than 500 employees worldwide. They specialize in delivering highly relevant ads by leveraging AI, real-time technology, and large-scale data processing. Operating in the AdTech industry, they are recognized for innovation in Connected TV (CTV) advertising. The team you will join works with the agility of a startup while benefiting from the resources of a global organization.

Project

You will contribute to the development of a smart advertising platform that processes terabytes of data to understand audiences and deliver precise, contextual ads. The platform combines AI, LLMs, and emerging technologies to push the boundaries of CTV advertising. In this role, you will own innovation end-to-end — from research and prototyping to delivering production-ready solutions.

Requirements

• 5+ years of hands-on experience using Golang
• Strong experience with system architecture, deployment, and monitoring
• Hands-on experience working with large-scale data workflows
• Solid understanding of scalability, performance, and reliability principles
• Familiarity with the RTB / CTV advertising ecosystem
• Ability to translate business requirements into robust technical solutions
• Strong analytical and problem-solving skills
• Ability to manage multiple priorities and meet deadlines
• Good communication and collaboration skills
• Upper-Intermediate or higher English level

Would be a plus

• Experience in AdTech or contextual advertising
• Knowledge of real-time streaming systems
• Experience with microservices and distributed systems
• Hands-on work with high-throughput data pipelines
• Experience with Python or Node.js / JavaScript

Personal Profile

• Proactive problem solver who thrives in fast-paced environments
• Passion for experimenting with emerging technologies
• Strong sense of ownership and accountability
• Team-oriented with open communication style
• Continuous learner with a drive for self-improvement
   

Responsibilities

• Design, develop, and maintain high-performance backend services using Go
• Participate in architecture design and technical decision-making
• Build and improve solutions for contextual targeting and audience understanding
• Experiment with AI, LLMs, and emerging technologies to support product innovation
• Develop and optimize workflows and data pipelines for large-scale processing
• Collaborate with product managers and team members to define requirements and user stories
• Translate business needs into scalable and reliable technical solutions
• Prototype new ideas and evolve them into production-ready systems
• Monitor, troubleshoot, and improve system performance and stability

We are seeking a skilled and reliable professional to join our International Reporting and Tax Compliance team at SKELAR as an Indirect Tax Manager. In this role, you’ll become a key player in a fast-paced team, managing indirect tax matters across multiple jurisdictions.

You’ll lead projects in new countries, optimize intercompany structures for indirect tax efficiency, and help automate and improve our compliance processes. If you're looking for a role where you can drive change, own your area, and see your work matter globally — this one's for you.

The main functions of this role include:
— Lead the preparation and coordination of indirect tax filings across the Group, ensuring accuracy and full compliance with reporting deadlines.
— Own indirect tax expansion into new jurisdictions (e.g., USA, Australia, Canada), including scoping, registrations, and process setup.
— Continuously assess and improve internal processes to enhance efficiency, automation, and accuracy in tax reporting.
— Provide independent analysis on indirect tax matters and support stakeholders with actionable guidance.
— Monitor regulatory changes, assess their impact on the business, and ensure timely implementation.
— Forecast indirect tax obligations, monitor cash flow impacts, and ensure all payments are made accurately and on time.
— Mentor and support team members, contributing to the growth and capability of the indirect tax function.

Skills and experience needed to join the board:
— Minimum 5 years of experience in either Big-4/second-tier consulting firms or top local or international businesses in a tax role
— Understanding of general principles of indirect taxation and organization of document flow
— Ability to focus on details to ensure and maintain data accuracy
— Structured thinking and excellent organizational skills, ability to effectively handle multiple projects simultaneously
— Sound analytical, problem-solving, and commercial instincts and skills
— Strong communication skills, and ability to convince opponents of the truth of one’s judgments
— Proactive self-starter, with proven ability to initiate business changes
— Upper-intermediate English, both written and oral
— Proficient in Excel and other MS Office / Google tools

Reporting to: Indirect tax and International accounting lead
 

In addition to our businesses, we have the SKELAR Foundation — a charitable foundation created by company employees. As part of the initiative, we create and finance projects that contribute to overcoming the consequences of the war and the reconstruction of Ukraine.
 

SKELAR is a place for self-realization of talents who are able to create successful companies. We call such companies the next big everything. We believe in their power and scale.

We will keep developing tech businesses, conquer global markets, and work for the victory of Ukraine 🇺🇦
 

What we offer:
— Competitive salary;
— Significant impact on a rapidly growing business and contribution to how it shapes up;
— Ample career opportunities for ambitious growth and development;
— Working alongside professionals from top local and international companies (Big Law, Big 4, McKinsey, Horizon, Bolt, Didi, etc.) who have launched more than one business and can share practical experience, insights and ideas;
— Flat organizational structure without hierarchical barriers;
— A possibility to attend internal, external courses, seminars and the access to a corporate library;
— Comfortable working environment. We provide all necessary work equipment for your role and serve complimentary breakfasts, lunches, and snacks in the office;
— 20 days of paid vacation, medical insurance and a variety of sports activities available for employees inside and outside the office.

Let's build the next big everything together!

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We are looking for a Middle Automation QA Engineer to join our team in Poland. The role will primarily focus on API testing (80%) with UI testing (20%). You will help design, enhance, and maintain automation frameworks, ensuring efficient and scalable testing.

Key Responsibilities:

— Contribute to designing and improving automation testing strategies.

— Develop and maintain automation frameworks for API, UI, and LLM validation.

— Ensure scalability, maintainability, and reusability of automation code.

— API Testing: Develop automated API tests in Python using the Requests library.

— UI Testing: Create and maintain UI tests with Playwright.

— Integrate automated tests with Postman collections where applicable.

— Execute performance, regression, and functional tests.

— Integrate automation tests into CI/CD pipelines (Jenkins preferred).

— Work with Docker and Kubernetes to manage and scale test environments.

— Collaborate with developers, QA, and DevOps teams to improve the QA process.

— Write test plans, strategies, and design documents.

— Track issues using Jira and manage test cases (Xray optional).

— Analyze logs, investigate failures, and troubleshoot in staging and production.

Required Skills:

— 5 years of experience in test automation or a related QA role.

— Strong programming skills in Python.

— Solid experience in API automation (Requests library) and UI automation (Playwright).

— Experience with CI/CD tools (Jenkins preferred).

— Experience with Docker & Kubernetes for test environments.

— Strong analytical, problem-solving, and debugging skills.

— Experience with Jira for tracking and reporting.

— Ability to work independently and proactively in a fast-paced environment.

Nice to Have:

— Experience with Kafka.

— Familiarity with X-ray for test management.

— Knowledge of AWS cloud services.

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

Our client is a large international enterprise developing and maintaining a clinical-focused Core solution as part of a broader software suite.
The project is centered around the continuous development and enhancement of a complex software platform built within an existing large framework, with a strong focus on stability, performance, and maintainability.
The role involves working as part of a cross-functional Scrum team, collaborating closely with software engineers, UX analysts, and senior team members to implement new functionality, improve existing components, and ensure reliable operation of the solution.

• Responsibilities:

  • Work together with other Scrum team members on a project within the client's software suite
  • Participate in Scrum planning sessions by analyzing the work to be done
  • Implement new functionality or code refactors based on detailed specifications and mock-ups
  • Closely work together with other development team members and a UX analyst
  • Discuss technical design with senior team members when needed
  • Participate in writing unit tests for newly developed functionality
  • Participate in performing code reviews
  • Report work progress on a daily basis
  • Focus on bug fixing when needed

• Mandatory Skills Description:

  • Master degree in Software Engineering, or equivalent through experience
  • Minimum 3 years of relevant experience in development of high-quality software solutions within an existing large framework
  • Good knowledge of relevant programming languages and supporting frameworks (C++, Qt, QML)
  • Knowledge of 3D Rendering (OpenGL, Vulkan, ...) is an asset
  • Open and good communicator
  • Ability to work independently and know when to escalate or discuss challenges or identified issues
  • Fluent in English (spoken and written)

US Company is searching for a couple of Senior AI Engineers into a complex, enterprise-level project for building sophisticated Agentic Systems, Adaptive RAG engines, capable of autonomous research to solve complex, real-world problems. Interesting project with cutting edge technologies, distributed team, full-time, an official contract. Remote work, flexible schedule.

Brief project description:

• The product is SaaS, which allows multiple functions for sustainability & operational risk management. The project is dedicated for developing of AI Center of Excellence.

Key areas of responsibility:

• Platform Engineering: Build and enhance scalable, reusable AI services (e.g., "Adaptive RAG Engine," "Text-to-SQL Service," and "Agentic Runtime") that product teams can easily integrate.
• Technical Contribution: Collaborate with principal engineers and architects. Participate in code reviews, write robust tests, and help drive the adoption of engineering best practices (CI/CD for AI, evaluation).
• Agentic Innovation: Develop and implement multi-agent systems capable of complex reasoning, planning, tool use, and self-correction (using frameworks like LangGraph or PydanticAI or Databrics' Agent Brics).
• Data Engineering: Load datasets and knowledge sources from external systems. Shape and transform data to optimize it for Hybrid or Semantic Search, providing the best possible knowledge context to LLMs.
• Production Readiness: Help move prototypes to production with a focus on latency, cost optimization, and reliability. Implement robust evaluation pipelines (LLM-as-a-Judge) to measure quality and prevent regression.
• Collaboration & Enablement: Partner with product teams to implement their AI roadmaps. Translate business requirements into concrete technical implementations.

Required skills (at least one or more for each category):

• Professional Experience: At least 5 years of professional experience in software development or Data Science.
• Education: Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, Physics, or a related natural science field.
• Python Expertise: At least 5 years of hands-on experience with Python, writing clean, maintainable, and production-ready code.
• Strong Software Engineering Foundation: distributed systems, API design (FastAPI), and cloud architecture.
• Data Engineering Expertise: Data Engineering and Big Data (DeltaLake, Databrics etc.) experience are a big plus.
• GenAI Engineering Experience: Hands-on experience building production RAG systems. Chunking strategies, hybrid search (dense + sparse), re-ranking, and context management.
• Agentic Workflow Experience: You have experience building systems where LLMs use tools, maintain state, and execute multi-step plans. You are familiar with the challenges of loops, recursion, and hallucination mitigation.

Tech Stack:

• Languages: Python, TypeScript
• AI Frameworks: LangChain/LangGraph, Pydantic AI, MosaicAI
• Models: Azure OpenAI (GPT-4o, o1), Open Source LLMs (Llama 3, Mistral)
• Infrastructure: Azure AI Search, Azure Container Apps, Delta Lake, Vector Databases like Databrics Vector Search.

Work conditions:

• Distributed team, remote work.
• Kanban or scrum approach, 5-6 team members / team.
• Full-time (40 hours per week).
• Official contract: salary, sick-leave days, holidays, vacations.

Hiring process:

• Step 1 - preliminary interview (main questions) - 20 mins
• Step 2 - internal tech interview (tech questions) - 40-50 mins
• Step 3 - tech interview with team leader and architect - 1 hour

About MyTaxiCRM | Global B2B SaaS | Fleet & Mobility Tech

MyTaxiCRM is a fast-growing SaaS platform built to make fleet operations transparent, efficient, and data-driven. We empower taxi fleets across Europe, the Middle East, and Central Asia to manage drivers, vehicles, and finances seamlessly all from one place.

Our technology integrates with leading ride-hailing platforms like Uber, Bolt, and Careem, helping fleets boost efficiency by up to 30% within the first month.

We’re now scaling globally and we’re looking for someone who can help us grow our team, shape our culture, and keep our Kyiv HQ running smoothly.

What You’ll Do

You’ll be the go-to person for people operations — balancing recruitment, culture, and office management:

Recruitment (60%)

• Source, screen, and coordinate interviews for roles across Product, Sales, and Engineering.
• Build and maintain candidate pipelines and relationships with talent platforms.
• Collaborate with team leads to improve our hiring process and employer brand.

People Partner Tasks (25%)

• Support onboarding and offboarding processes.
• Maintain employee records and assist with HR documentation.
• Support employee engagement activities, performance reviews, and internal communications.

Office & Admin (15%)

• Manage office operations, suppliers, and team events.
• Oversee travel arrangements, equipment logistics, and company documentation.
• Ensure a great atmosphere and a productive environment for our growing team.

What You’ll Need

• 2+ years of experience in recruitment, HR coordination, or office management — ideally in a tech or startup environment.
• Strong organizational skills and attention to detail.
• Ability to manage multiple priorities and deadlines with minimal supervision.
• Excellent written and verbal communication in English and Ukrainian.
• A “can-do” mindset — proactive, empathetic, and always two steps ahead.

Nice to Have

• Experience in B2B SaaS or mobility/transportation industry.
• Familiarity with basic HR policies, payroll, and benefits administration.
• Event organization or employer branding experience.

What We Offer

• Competitive salary and performance-based bonuses.
• Hybrid work setup (Kyiv HQ + remote flexibility).
• 20 days paid vacation + sick leaves.
• Opportunity to grow into a People Operations Lead role as the company scales.
• A creative and dynamic environment with a team that moves fast and supports each other.
• The chance to be part of an international company shaping the future of fleet management.

Job Description

• Experience & Education: 7+ years in Business Analysis or Product Management on complex software projects. Master's degree in Biomedical Engineering, CS, or a related clinical field is preferred.
• Gherkin/BDD Expertise: Required: Advanced proficiency in writing requirements in Gherkin format. You must be able to demonstrate the ability to produce high-quality scenarios quickly.
• PO Mindset: Demonstrable experience acting as a proxy-Product Owner. Experience with roadmapping, backlog grooming, and strategic planning in an Agile/Scrum environment is essential.
• Medical Domain Knowledge: Experience with medical imaging (CT, MRI, X-Ray), image processing, or surgical navigation systems is a massive plus. Understanding of hip arthroscopy or FAI pathology is highly desirable.
• Proactivity & Leadership: Strong history of "owning" the solution. You must be a self-starter who identifies process bottlenecks and fixes them without waiting for permission.
• Communication Skills: Exceptional ability to communicate complex technical and clinical information to diverse audiences. You must be comfortable leading workshops and presentations for surgeons and executives.
• Tooling: Proficiency in Jira and Confluence, specifically for managing traceability and documentation.

Job Responsibilities

• Senior Business Analyst acting as a Product Owner who will own the requirements lifecycle. You will drive the product vision, ensuring the system reflects clinical needs while establishing a rapid, standardized flow for requirement definition.
• Requirements Ownership & Gherkin Mastery: Rapidly translate complex clinical needs and surgical workflows into precise, testable requirements using Gherkin syntax (BDD). You must be able to write user stories and scenarios fast without sacrificing clarity.
• Process Architecture: Take full ownership of the requirements gathering process. Analyze, audit, and refine our current approach to requirements engineering to increase velocity and reduce ambiguity.
• Product Ownership & Strategy: Act with a Product Owner mindset. Move beyond simple "order taking" to actively shape the product roadmap, manage the backlog, and make tough prioritization decisions based on clinical value and technical feasibility.
• Stakeholder Leadership: Drive and facilitate communication with the client. You are not just a liaison; you are a partner who challenges assumptions, negotiates scope, and drives consensus among surgeons (KOLs), engineers, and executives.
• Clinical & Imaging Analysis: Conduct in-depth analysis of FAI surgery workflows (pre-op to post-op) and medical imaging data (X-Ray, CT, MRI, 3D models). Ensure requirements account for 2D/3D visualization nuances and specific surgical navigation needs.
• Risk & Ambiguity Management: Proactively identify gaps in logic or clinical safety risks early in the process. You are responsible for mitigating ambiguity before it reaches the development team.
• Cross-Functional Orchestration: Collaborate closely with UI/UX designers for intuitive surgical interfaces and with Architects to ensure technical feasibility. Lead design reviews to ensure alignment with business goals.
• Compliance & Standards: Ensure all requirements and roadmaps align with medical device regulations (FDA, CE) and data standards (DICOM, HL7).

Department/Project Description

We are partnering with a global leader in medical devices to develop the next-generation cutting-edge tool used during hip arthroscopy for femoroacetabular impingement (FAI). Client provides surgeons with real-time visualization and measurement capabilities by superimposing virtual tools on X-ray images, enabling precise clinical decision-making. The product will help surgers to plan and to validate the procedures by analyzing 2D images from X-Rays, CT, MRI and building 3D objects.

Our goal is to enhance the product’s capabilities, improving workflow efficiency and advancing surgical outcomes. This project will involve refining requirements, designing intuitive interfaces, and integrating advanced visualization tools to meet the highest clinical standards. Join us in shaping the future of minimally invasive orthopedic surgery.

Role Overview

The Head of Data Intelligence is the executive owner of demand forecasting and market intelligence for the 4A business. This role transforms complex historical and real-time data into clear, predictive guidance that drives growth, operational readiness, and demand capture.

By building scalable forecasting systems and partnering closely with Demand Generation and Operations, this leader shifts the organization from reactive reporting to proactive decision-making—anticipating demand shifts, identifying market opportunities, and ensuring supply readiness ahead of execution.

Success is measured by improved decision speed and accuracy across market prioritization, programmatic SEO planning, launch timing, supply–demand balancing, and portfolio-level resource allocation.
 

Core Mandate:
Own demand intelligence end-to-end so the business shows up in the right markets, with the right content and supply, at exactly the right time.

Key Responsibilities

1. Demand Forecasting Strategy & Signal Ownership

• Own the company’s demand forecasting approach across services, regions, and verticals.
• Analyze historical demand to identify seasonality, geographic spikes, anomalies, and structural trends.
• Define forecasting methodologies, confidence levels, assumptions, refresh cadence, and data-quality standards.
• Identify and operationalize early demand indicators (e.g., lifecycle trends, warranty timing, weather, behavioral signals).
• Build monitoring frameworks and alerts that surface demand shifts before impact.

2. Geo & Service Intelligence / Opportunity Mapping

• Develop and evolve geo- and service-level heatmaps to visualize demand intensity, whitespace, and growth opportunity.
• Maintain consistent definitions for market sizing, demand indices, and prioritization tiers.
• Partner with Demand Generation to drive market entry, expansion, and deprioritization decisions.

3. SEO Intelligence & Programmatic Growth Enablement

• Partner with SEO, Growth, and Content teams to inform programmatic SEO strategy and prioritization.
• Analyze and optimize L1/L2/L3 page strategies for performance, conversion, and revenue impact.
• Help define a demand-driven publishing and launch calendar based on predicted demand—not static schedules.
• Align content roadmaps with seasonal peaks and highest-opportunity markets.

4. Supply–Demand Balancing & Operational Readiness

• Translate demand forecasts into operational actions: coverage planning, staffing/vendor needs, capacity allocation, and geographic focus.
• Partner with Operations to balance long-term forecasts with short-term signals for rapid execution and course correction.
• Reduce under- and over-supply in priority markets through forward-looking planning.

5. Scalable Insight Systems, Automation & Governance

• Build scalable, repeatable systems: automated dashboards, standardized reporting, and self-serve analytics.
• Define metric logic, data quality checks, and governance standards to ensure consistency and trust.
• Reduce manual analysis and metric disputes through automation and clear ownership.

6. Executive Communication & Decision Support

• Translate data into executive-ready narratives, trade-offs, and recommendations.
• Establish a consistent insight cadence aligned with weekly, monthly, and quarterly operating rhythms.
• Present forecasts and market intelligence to leadership to drive prioritization and investment decisions.

7. Cross-Functional Leadership & Alignment

• Partner with Demand Generation and Operations to integrate demand intelligence into planning, capacity, and SLA decisions.
• Collaborate with BUMs, Sales, Client Success, and Licensed Brands to align launches and messaging with demand signals.
• Drive adoption of forecasting frameworks and self-serve insights across teams.

Metrics & KPIs

Business Impact

• Forecast adoption: % of roadmap, market, and content decisions informed by demand intelligence
• Demand capture lift: lead volume and quality improvements driven by timing and targeting
• Operational readiness: reduction in under/over-supply events
• MPS alignment: demand intelligence contribution to revenue, booked leads, and ROMI forecasting

Forecasting & Intelligence Health

• Forecast accuracy and calibration by geo, service, and horizon
• Early-indicator performance and lead time gained on demand shifts
• Insight cycle time: signal → recommendation → action
• Data quality consistency and reduction in metric disputes

Scalability & Adoption

• Automation coverage vs. manual analysis
• Self-serve dashboard adoption across teams
• Forecast refresh cadence reliability
• Stakeholder confidence and satisfaction

Team Structure & Interfaces

• Leads the Data Intelligence function, developing analysts and setting standards for forecasting and insights.
• Accountable for demand forecast accuracy, data quality, and insight timeliness.
• Operates within the 4A governance cadence (weekly business reviews, monthly and quarterly portfolio planning).
• Ensures all insights are decision-ready and action-oriented.
   

Qualifications

• 5+ years in data analytics, data science, or business intelligence (marketplaces, services, or demand-driven businesses preferred)
• Strong experience analyzing large historical datasets and translating patterns into business action
• Comfortable operating with imperfect data while delivering reliable, directional guidance
• Proven ability to influence strategy and drive cross-functional adoption
• Advanced skills in SQL, Python or R, BI tools (Power BI, Tableau, Looker), GA4, Search Console, and CRM systems
• Strong understanding of forecasting methodologies, ROMI, capacity economics, and MPS-style input/output frameworks
• Excellent executive communication and stakeholder management skills
• Builder mindset: scales 0→1 experiments into 1→10 standardized systems

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We are seeking an experienced Mid/Mid+ Data Scientist with expertise in Large Language Models (LLMs) such as GPT, Claude, and related technologies. The ideal candidate will have a strong background in natural language processing (NLP), machine learning, and deep learning models. They will play a critical role in developing and deploying cutting-edge LLM applications to drive innovation across our product lines.

Responsibilities:

‌

— Design, develop, and optimize Large Language Models for various NLP tasks such as text generation, summarization, translation, and question-answering

— Conduct research and experiments to push the boundaries of LLM capabilities and performance

— Collaborate with cross-functional teams (engineering, product, research) to integrate LLMs into product offerings

— Develop tools, pipelines and infrastructure to streamline LLM training, deployment and monitoring

— Analyze and interpret model outputs, investigate errors/anomalies, and implement strategies to improve accuracy

— Stay current with the latest advancements in LLMs, NLP and machine learning research

— Communicate complex technical concepts to both technical and non-technical stakeholders

Requirements:

‌

— MS or PhD degree in Computer Science, Data Science, AI, or a related quantitative field

— 2-3+ years of hands-on experience developing and working with deep learning models, especially in NLP/LLMs

— Expert knowledge of Python, PyTorch, TensorFlow, and common deep learning libraries

— Strong understanding of language models, attention mechanisms, transformers, sequence-to-sequence modeling

— Experience training and fine-tuning large language models

— Experience with classical ML models - XGBoost, LightGBM

— Proficiency in model deployment, optimization, scaling, and serving

— Excellent problem-solving, analytical, and quantitative abilities

— Strong communication skills to present technical information clearly

— Ability to work collaboratively in a team environment

— Fluency in Ukrainian and English

Preferred:

— Research experience in LLMs, NLP, machine learning

— Experience working with multi-modal data (text, image, audio)

— Knowledge of cloud platforms like AWS, GCP for model training

— Understanding of MLOps and production ML workflows

— Background in information retrieval, knowledge graphs, reasoning

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We are seeking a proactive Python Developer with at least 3 years of experience to join our engineering team. You will be responsible for the full lifecycle of data-driven applications, from building robust backend APIs to designing and maintaining complex data pipelines. The ideal candidate thrives in a DevOps-cultured environment and is eager to work with modern orchestration and cloud technologies.

Core Responsibilities:

— Data Pipeline Management: Develop, optimize, and maintain scalable data pipelines to ensure high-quality data flow.

— API Development: Build and maintain high-performance backend APIs using FastAPI.

— System Reliability: Proactively identify bottlenecks and improve system stability within existing infrastructures.

— Collaboration: Work closely with cross-functional teams to integrate AWS services and workflow orchestration tools into the production environment.

Required Qualifications:

— Experience: 3+ years of professional Python development experience.

— Databases: Strong proficiency in both SQL and NoSQL database design and management.

— DevOps Tools: Hands-on experience with Docker, CI/CD pipelines, and Git version control.

— Frameworks: Proven experience building applications with FastAPI.

— Cloud & Orchestration: Practical experience with AWS services and familiarity with Airflow (or similar workflow orchestration tools).

— Communication: Upper-Intermediate level of English (written and spoken) for effective team collaboration.

Preferred Skills (Nice to Have):

— Experience within the Financial Domain.

— Hands-on experience with Apache Spark and complex ETL pipelines.

— Knowledge of container orchestration using Kubernetes.

— Exposure to or interest in Large Language Models (LLMs) and AI integration.

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

We are seeking a Senior Product Manager to lead our ad network and channel integration strategy. This role is critical to our platform's expansion and optimization, working directly with company leadership to drive product roadmap decisions while managing a specialized technical team responsible for building and maintaining integrations with major advertising platforms.

Key Responsibilities

• Collect and translate business requirements from company ownership into actionable product specifications
• Define and execute product strategy for ad network integrations and channel expansion
• Drive cross-functional collaboration between engineering, data science, and business development teams
• Lead and mentor a specialized integration team of engineers and QA professionals
• Set team priorities, manage sprint planning, and ensure delivery excellence
• Foster a culture of innovation and technical excellence within the integration team

Product Development Priorities

Primary Focus:

• Automate existing channel integrations to enable seamless two-way data synchronization
• Optimize current integrations for improved data accuracy and real-time reporting capabilities
• Streamline integration processes to reduce manual intervention and improve scalability

Secondary Focus:

• Identify and prioritize new high-value advertising channels for integration
• Lead technical evaluation and implementation of new platform partnerships
• Expand market reach through strategic channel additions

Technical Oversight

• Define technical requirements and API specifications for channel integrations
• Create comprehensive product documentation and visual schematics for integration architectures
• Ensure data integrity and compliance standards across all integrated platforms
• Drive automation initiatives to improve operational efficiency and reduce time-to-market for new integrations

Required Qualifications

• 5+ years of product management experience in adtech, programmatic advertising, or related fields
• Deep, hands-on understanding of major advertising networks including:
• Paid social media platforms (Facebook, LinkedIn, Twitter, TikTok, etc.)
• API integrations and data synchronization protocols
• Experience with marketing automation platforms and attribution modeling
• AI-first mentality, strong interest in the emerging technologies, willingness to learn, adapt, and use AI tools to build portotypes, monitoring tools, and otherwise use them to aid both your and the teams' goals.
• Proven track record managing technical teams and complex integration projects
• Strong analytical skills with experience in data-driven product decisions
• Understanding of advertising technology ecosystem and data flow
• Experience with API integrations, webhooks, and real-time data processing
• Familiarity with advertising platform APIs and their capabilities/limitations
• Knowledge of data privacy regulations and compliance requirements
• Excellent stakeholder management and communication skills
• Experience translating business requirements into technical specifications
• Strong project management skills with ability to manage multiple concurrent initiatives
• Collaborative leadership style with proven ability to influence cross-functional teams

Nice to Have:

• Deep understanding of programmatic advertising channels (DSPs, SSPs, ad exchanges)
• Experience in pharmaceutical, healthcare, or highly regulated industry marketing
• Understanding of healthcare professional targeting and compliance considerations
• Familiarity with NPI data and healthcare professional identification systems
• Background in automation technologies and AI agent development/implementation
• Experience building or managing intelligent automation workflows and AI-driven processes

About the project:

We are looking for a Senior Data Engineer to take ownership and evolve both our Data Warehouse and core databases within a microservices-based, multi-tenant application. This role encompasses more than just analytics and includes broad responsibility for database architecture, ensuring data consistency, and managing technical debt across production systems. It is a hands-on opportunity focused on long-term stewardship of the data layer, working closely with backend engineers and product teams to deliver scalable, reliable, and maintainable data infrastructure.

Please note that this position requires Cyprus-based candidates or readiness to relocate to Cyprus after the probation period. We provide full support throughout the relocation process, along with a relocation bonus 🎁

A new team member will be in charge of:

• Designing, developing, and maintaining scalable data warehouse solutions.
• Building and optimizing ETL/ELT pipelines for efficient data integration.
• Designing and implementing data models to support analytical and reporting needs.
• Ensuring data integrity, quality, and security across all pipelines.
• Optimizing data performance and scalability using best practices.
• Working with big data technologies such as Redshift.
• Collaborating with cross-functional teams to understand business requirements and translate them into data solutions.
• Implementing CI/CD pipelines for data workflows.
• Monitoring, troubleshooting, and improving data processes and system performance.
• Staying updated with industry trends and emerging technologies in data engineering.

• Taking ownership of core production databases across a microservices, multi-tenant application.

   

Does this relate to you?

• 6+ years of experience in Data Engineering or a related field.
• Strong expertise in SQL and data modeling concepts.
• Hands-on experience with Airflow.
• Experience working with Redshift.
• Proficiency in Python for data processing.
• Strong understanding of data governance, security, and compliance.
• Experience in implementing CI/CD pipelines for data workflows.
• Ability to work independently and collaboratively in an agile environment.
• Excellent problem-solving and analytical skills.
• Experience managing production databases in microservices environments.
• Experience designing and supporting multi-tenant data models.
• English proficiency at an upper-intermediate level.

Ready to try your hand? Send your CV without a doubt!

Kraken Leads a dynamic company with Ukrainian roots, providing comprehensive SEO solutions for iGaming products for over 6 years.

We are looking for an experienced and results-oriented Team Lead SEO who can take full responsibility for client SEO directions and team management: from developing strategy and financial models to scaling results and building a stable profitable business.

Requirements:

• Experience in building and managing an SEO team (full cycle: selection, adaptation, processes, motivation, KPI) with reaching the break-even point;
• Proven success in competitive niches (iGaming, Dating, Nutra, Betting and other high-risk) - top 3-5 facts for XXX queries;
• Experience working with JS projects (React, Vue, Angular): indexing, ranking, SSR (consultative);
• Experience in managing multi-regional projects (canonical, hreflang);
• Strong management skills: strategy building, role distribution, employee development, training for complex projects, conflict resolution;
• Business thinking: P&L, KPI, assessing team effectiveness in numbers;
• Deep understanding of SEO (technical, content, link building, analytics) and monitoring results with deadlines;
• Proficiency in analytical tools: GSC, GA4, Ahrefs, Semrush, Bing Webmaster Tools, etc. (strategic level);

• English - from B2 level.

   

Responsibilities:

• Development, coordination and implementation of SEO strategy for international client projects (Google, Bing, local search engines);
• Management of link building strategy taking into account regional specifics: anchor lists, donor control, work with different markets;
• Participation in team formation and scaling: hiring, adaptation, training for JS/multi-regional projects, motivation and KPIs;
• Ensuring the achievement of planned team results within the established deadlines for client projects: growth of organic traffic, positions, conversions;
• Ensuring regular communication of the team with related departments and client teams to achieve business goals;
• Planning, together with SEO specialists and the content department, content strategy for multi-regional sites: clustering, semantics, TOR for editors, quality control and localization;
• Working with analytics: Google Search Console, GA4, Ahrefs, Semrush, Bing Webmaster Tools, BI tools;
• Implementation and testing of AI tools for SEO automation.

Why it’s comfortable to work with us:

📚 Development without limits: Clear professional roadmap, personal budget for courses and trainings, annual skill upgrade your career grows together with the company.

🌍 Flexibility and balance: Start your working day anytime between 8:00 and 11:00, work remotely from anywhere, or drop by our Kyiv coworking space for networking and team vibes.

💚 We care about you: 17 paid vacation days + additional day-offs for holidays, 100% paid sick leaves, and a wellbeing budget for sports, healthcare, or your favorite hobby.

📄 Zero bureaucracy: We handle all legal and accounting matters you focus purely on performance and results.

💪 Energy and achievements: We run, do yoga, launch challenges, and celebrate both personal and team victories because success feels better together.

🎯 Smooth start and full support: Friendly onboarding with a buddy, ongoing feedback, transparent goals, and a clear understanding of success metrics.

💬 Open communication with leadership: Direct access to C-level, regular all-hands meetings, and transparency in decisions your voice is always heard.

💰 Transparent compensation: Your income grows with your results. We value fairness and reward performance.

🚀 Your journey to joining the team:

Resume review — we carefully evaluate your background and experience.

Interview with a recruiter — to align expectations and share details about the role.

Technical/manager interview — meet your future manager and discuss real tasks.

Paid test task — a chance to show your approach and skills in action.

Final interview with the CEO — friendly chat about vision, values, and growth.

Offer and onboarding — welcome to Kraken Leads, where your next chapter begins!

Build apps that truly make a difference. We're a fresh and ambitious AI studio creating meaningful, in-house products that empower people through better mental health, education, and personal growth. Our work combines human empathy with cutting-edge AI — and we're just getting started.

Role Description

We're looking for a versatile and experienced React Native Frontend Developer to join our passionate, fast-moving team. If you're excited by the idea of building mobile apps that are not just smart but soulfully designed, we want to hear from you.

What you'll do:

• Build and maintain cross-platform mobile apps using React Native and Expo
• Write clean, scalable, and maintainable code with attention to performance
• Work with the Expo toolkit (CLI, Go, EAS Build/Submit) to streamline development and delivery
• Collaborate closely with designers and backend developers to build seamless user experiences
• Integrate with RESTful APIs and backend services
• Use modern state management tools like Redux, Zustand, or Context API
• Build responsive UI components with care for animations and accessibility
• Identify and resolve bugs across platforms and devices
• Stay current with React Native, mobile UI/UX trends, and AI product design
• Contribute to product development through collaboration and experimentation

Qualifications

• 3+ years of professional experience with React Native
• Solid experience with the Expo ecosystem and its tools
• Strong knowledge of JavaScript (ES6+) and TypeScript
• Experience with state management libraries (Redux, Zustand, etc.)
• Comfortable working with REST APIs and modern development tools (Git, npm/yarn)
• Interest in AI-assisted development — experience with AI coding tools (Cursor, GitHub Copilot, or similar) is a plus
• Enthusiasm for building intuitive and well-designed mobile apps
• Strong problem-solving skills and debugging abilities
• Good communication and collaboration skills in a remote-first environment
• A portfolio showcasing React Native work (especially with Expo) is highly valued

What we offer:

• Full-time remote position with flexible schedule
• Work on meaningful AI-powered products that serve real human needs
• Culture of wellness, clarity, and purpose — we move fast, but with intention
• A small, values-driven team where your contributions matter
• The opportunity to build mindful, intelligent tech with lasting impact