Jobs

We are looking for an Integration Tech Lead to take full ownership of one of the most business-critical areas of our platform — integrations. This role sits at the intersection of backend engineering, data flows, and external platform connectivity.

You will be responsible not only for building and scaling integrations, but also for ensuring their reliability, stability, and overall performance. This is a high-impact role where failures directly affect business outcomes, so we are looking for someone who can take end-to-end responsibility and confidently drive technical decisions.

In this role, you will lead a small team, bring structure to an evolving domain, and define how integrations are designed, built, and maintained across the platform.

Requirements

• 5+ years of experience in backend, platform, or data engineering.
• Experience in backend development using at least one programming language (such as Python, PHP, C#, or similar), with a willingness to work in a multi-stack environment.
• Strong experience working with APIs and integrations (design, implementation, maintenance).
• Experience working with marketing or advertising platforms (Meta, LinkedIn, programmatic ecosystem).
• Proven experience working with complex technical systems and driving them to a stable state.
• Experience leading or mentoring engineers.
• Solid understanding of distributed systems and data flows.
• Experience working with production systems where reliability and uptime are critical.
• Strong engineering mindset: ability to make decisions, prioritize, and take responsibility.
• Experience using AI-assisted development tools (Copilot, Cursor, Claude Code) in daily workflows, with the ability to critically evaluate outputs.

Nice to Have

• Experience in Data Engineering (data pipelines, ETL/ELT processes, data synchronization).
• Experience with cloud platforms (GCP, AWS, or Azure).
• Understanding of high-load systems or large-scale data processing.

Responsibilities

• Take full ownership of the integrations domain across the platform.
• Define and drive integration architecture and technical direction.
• Lead a small team of engineers: code reviews, mentorship, and development.
• Ensure reliability of integrations: monitoring, alerting, error handling, and recovery strategies.
• Drive integration projects end-to-end: from API evaluation to production rollout.
• Improve and stabilize existing integrations and data flows.
• Collaborate with product and business teams to define priorities.
• Bring structure and leadership to a currently evolving area.

What We Offer

• Fully remote with flexible hours (aligned with EU time zones).
• High-impact role with direct influence on core business processes.
• Ownership and autonomy in technical decision-making.
• Fast-paced environment with minimal bureaucracy.
• AI-first engineering culture and modern tooling.
• Opportunity to shape and scale a critical part of the platform.

We are looking for an Integration Team Lead to own the architecture and reliability of our advertising platform integrations while leading a small engineering team and driving the integration roadmap. In this role, you will design and scale data pipelines that process large volumes of advertising data, ensure stable data synchronization across external marketing platforms, and lead new integration initiatives from API evaluation to production rollout. You will play a key role in shaping the platform’s integration strategy, mentoring engineers, and building scalable, AI-enabled integration solutions that power our core data infrastructure.

Requirements
- 5+ years in backend/data engineering, including 2+ years working with advertising/marketing APIs.
- Hands-on experience with Meta Marketing API and/or LinkedIn Marketing API: real work with rate limits, async reports, breakdowns, attribution windows.
- Strong Python skills: production-grade code with error handling, logging, and tests.
- Experience leading a team (2+ people): code reviews, task planning, growing engineers.
- Solid understanding of data pipeline patterns: idempotency, backfill, incremental sync, schema evolution.
- Experience with GCP or comparable cloud (AWS/Azure) at the service design level.

- Actively use AI-assisted development tools (e.g., Copilot, Cursor, Claude Code) in daily engineering workflows for code generation, debugging, documentation, and data pipeline design, applying sound engineering judgment when validating AI-generated outputs.

Nice to Have
- Knowledge of the Programmatic ecosystem: DV360, The Trade Desk, OpenRTB.
- Experience with BigQuery and/or ClickHouse.
- Pulumi / Terraform for IaC.
- Understanding of advertising metrics: impressions, clicks, conversions, ROAS, attribution models.

Responsibilities
- Own the architecture and evolution of all platform integrations: Meta Marketing API, LinkedIn Marketing API, Programmatic channels (DV360, The Trade Desk, etc.).
- Lead a team of 2-4 engineers: code reviews, sprint planning, mentorship.
- Design and maintain data pipelines: Ad Platform APIs to BigQuery/ClickHouse via Cloud Run Jobs and n8n workflows.
- Ensure data sync reliability: monitoring, alerting, error handling, retry strategies.
- Work with API rate limits, OAuth flows, and webhooks across advertising platforms - Drive new integration projects from API evaluation through production rollout. 
- Collaborate with the product team to prioritize the integration roadmap.

What We Offer

- Fully remote with flexible hours (aligned with EU timezones for syncs).
- Influence on the quality assurance strategy across the entire engineering department.
- A cross-team role with visibility into every part of the product.
- AI-first tooling.
- Claude Code licenses and cutting-edge AI development workflows. 
- A team with no bureaucracy, decisions are made fast.

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

Equals5 helps pharmaceutical companies run precisely targeted ad campaigns on social platforms by identifying healthcare professionals and the consumer signals that reach them. The Identity team builds the data, scoring, and targeting systems that make this possible.

We are looking for a Data Scientist/Analyst  to join the Identity team at Equals5. This is not a standard analyst role. We are building a dynamic identity resolution system where AI is deeply integrated — both as a productivity multiplier and as a core component of our data processing logic for identity resolution and LLM-based scoring.

We run enrichment against 70+ TB of data, apply AI and LLM-based scoring on top, and process around 20 million enrichment operations per day across hundreds of thousands of records.

The analytical challenges ahead are substantial: how to measure the quality of AI-driven scoring, how to validate that a change makes the system better, how to know where our money and time deliver the most value, and how to turn the questions our internal teams bring in into fast data-backed answers. You will own this side of the business, working daily alongside engineers and the product lead to turn these challenges into decisions that ship.

The main part of the role is not building dashboards — it is the data work that makes a meaningful dashboard possible in the first place. Concretely, you will be:

• Looking at data from multiple vendors side by side and deciding what to trust.
• Reconciling entities across sources that have different shapes and quality.
• Proposing and validating the logic that matches and scores them.
• Defining metrics and ground truth for questions nobody has asked before.
• Tracing why numbers don't line up across partial and sometimes contradictory sources.

Dashboards and visualizations are part of how findings get communicated, but they come at the end — the surface of the work, not its core. Most of your time is spent on what sits underneath: methodology, judgment calls on data quality, and shaping how the domain understands its own numbers.

Responsibilities

• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.

Requirements

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus 

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.

Nice to have

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

What We Offer

• Fully remote with flexible hours, with working overlap in CET ±2 hours for syncs.
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech — both for daily work and as part of product logic.
• High-Impact Role: You will directly shape how we identify, score, and reach healthcare professionals — the core business of our domain.
• Small team, direct impact: You will work directly with Product and Engineering leads — no layers between you and the people making decisions.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

We are looking for a QA Team Lead who will be responsible for quality assurance across multiple engineering teams and play a key role in building a scalable testing strategy. You will act as the quality owner for the larger development team, ensuring the reliability of the entire product data flow from external API integrations to end-user dashboards.

In this role, you will lead the QA team and work closely with engineering team leads, implementing automation, quality gates, and testing best practices within development workflows. You will have the opportunity to shape the company-wide quality strategy, scale automation efforts, and influence product quality across the entire engineering organization.

Responsibilities
- Lead a QA team of 3–4 engineers, including task assignment, code reviews, mentorship, and supporting professional growth.
- Own end-to-end quality across all engineering teams.

- Build and maintain a cross-team testing strategy covering the full data flow — from API ingestion through data pipelines to the end-user dashboard.
- Design and implement automated test suites, including E2E (Playwright/Cypress), API, integration, and regression tests.
- Establish quality gates in CI/CD pipelines, ensuring no code is released without passing automated checks.
- Coordinate release testing across teams, ensuring that changes in one system do not impact downstream consumers.
- Define and track quality metrics, such as test coverage, defect rates, time-to-detection, and regression frequency.
- Collaborate closely with team leads (Platform, Integrations, etc.) to embed quality practices into development workflows.
- Manage test environments and test data, ensuring realistic and reproducible testing scenarios across all domains.

Requirements
- 5+ years of experience in QA/SDET, including 2+ years in a leadership role managing a QA team.
- Strong experience with test automation, using Playwright, Cypress, or similar E2E frameworks.
- Experience testing APIs (REST), both manual and automated, including contract and integration testing.
- Understanding of data pipeline testing, including validation of data flow from source APIs through transformation layers to analytics systems.
- Ability to work across multiple tech stacks (PHP/Laravel, Vue.js, Python, SQL). You are not required to be a developer, but you should be able to read and understand code.
- Experience with CI/CD integration, embedding automated tests into build pipelines and managing test environments.
- Strong communication and stakeholder management skills — you will coordinate with 3–4 team leads and communicate quality status clearly.

Nice to Have
- Experience with BigQuery and/or ClickHouse data validation.
- Knowledge of advertising/marketing tech domain (Meta API, LinkedIn API). 
- Experience with performance/load testing (k6, Locust, Artillery).
- Familiarity with GCP services (Cloud Run, Cloud SQL, Cloud Scheduler).
- Understanding of healthcare/pharma compliance requirements.
- Experience with visual regression testing.

What We Offer
- Fully remote with flexible hours (aligned with EU timezones for syncs).
- Influence on the quality assurance strategy across the entire engineering department.
- A cross-team role with visibility into every part of the product.
- AI-first tooling.
- Claude Code licenses and cutting-edge AI development workflows. 
- A team with no bureaucracy, decisions are made fast.

This is a 0→1 product role where you combine architecture, hands-on

development, and technical leadership.

You will take an early-stage concept and turn it into a working, scalable system — defining architecture, making key technical decisions, and driving delivery.
We’re looking for someone who can own the system end-to-end, operate in ambiguity, and build solutions that work in production, not just on paper.

Responsibilities
• Design and own system architecture for a new product.
• Build and structure backend services using Golang.
• Define APIs, integrations, and event-driven workflows.
• Break down architecture into delivery roadmap (phases, risks, dependencies).
• Make decisions on scalability, performance, and reliability.
• Stay hands-on in development when needed.
• Collaborate with product and stakeholders on technical execution.
• Participate in hiring and mentoring engineers.

Requirements
• 7+ years in backend engineering / technical leadership.
• Strong hands-on experience with Golang.
• Experience as Technical Lead / Principal Engineer.
• Strong background in distributed systems and microservices.
• Experience with APIs, queues, and event-driven architecture.
• Experience building B2B SaaS or platform products.
• Strong understanding of scalability, observability, and system reliability.
• Ability to drive delivery in fast-moving, ambiguous environments.

Would Be a Plus
• Experience in gambling, sportsbook, or retention systems.
• Experience with real-time systems and event processing.
• Experience working with data-heavy or ML-related products.
• Experience building systems from scratch (0→1).
• Experience designing internal tools, admin panels, or control systems.

What We Offer
• Full ownership of a new product’s technical direction.
• High impact on architecture, product, and engineering decisions.
• Opportunity to build systems from the ground up.
• Flexible remote work format.
• Competitive compensation aligned with seniority and impact.

Project start: As soon as possible / by mutual agreement
Duration: 6+ months (extension possible)
Workload: 100%
Location: Primarily remote, with 9 onsite days per year in Frankfurt am Main for planning sessions

Responsibilities
 

Data Analysis & Feature Engineering
- Perform complex ad-hoc data analyses to identify relevant factors influencing forecasting models
- Prepare, explore, and transform large datasets using Python (e.g., pandas, polars) and SQL
- Develop robust features to improve model accuracy and quality
 

Forecasting & Machine Learning Model Development
- Design, implement, and train statistical, machine learning, and time-series models
- Work with methods such as regression models and neural networks
- Select appropriate modeling approaches based on business requirements, data structure, interpretability, and scalability
 

Model Validation & Quality Measurement
- Define, calculate, and interpret key model evaluation metrics
- Conduct cross-validation, backtesting, and stability analyses to ensure reliable and generalizable forecasts
 

Model Comparison & Performance Monitoring
- Compare different modeling approaches using standardized evaluation frameworks
- Monitor model performance over time, including data drift and model drift detection
- Analyze deviations between forecasts and actual outcomes
 

Operationalization & Integration
- Support integration of forecasting models into production data pipelines on AWS
- Collaborate with Data Engineers and BI Developers to deliver model outputs for reporting, planning, and decision-making
 

Data Quality & Model Robustness
- Ensure high data quality through plausibility checks, outlier detection, and missing-data handling strategies
- Assess model sensitivity to data changes and assumptions
 

Documentation & Communication
- Maintain clear documentation of model assumptions, training processes, and validation results
- Communicate forecast quality, uncertainties, and limitations to business stakeholders and management
 

Continuous Improvement
- Continuously enhance existing models based on new data, stakeholder feedback, and changing business requirements
- Stay updated on best practices and new methods in forecasting and model evaluation
 

Governance, Security & Compliance
- Implement IT security policies, regulatory requirements, and internal programming standards
- Ensure data privacy, security, and compliance in all data processing activities

Required Qualifications
Mandatory Requirements
- 5+ years of practical experience in designing, implementing, and validating forecasting, machine learning, and time-series models in production environments
- 5+ years of hands-on Python experience, especially with pandas or polars for data analysis, feature engineering, and model development
- 2+ years of SQL experience for data querying and preparation
- 3+ years of experience in model validation and quality measurement, including evaluation metrics, cross-validation, and stability analysis

Nice-to-Have Qualifications
- Experience with forecasting, machine learning, or time-series models based on graph databases (minimum 2 projects)
- Experience integrating forecasting models into production AWS data pipelines (minimum 1 project)
- Experience analyzing and processing data from railway control and signaling systems (minimum 1 project)

Наш клієнт — міжнародна маркетингова компанія, яка стрімко масштабується та займає провідну позицію в індустрії iGaming, з особливою увагою до ринку Азії.

Від глибоких досліджень ринку та розробки стратегії до результативних діджитал-кампаній і сміливих креативів — команда охоплює повний цикл маркетингу, допомагаючи клієнтам випереджати конкурентів в одній із найдинамічніших галузей світу.

Ідеально для тих, хто прагне:

• Створювати ідеї для 360° маркетингових кампаній, забезпечуючи їх масштабованість та можливість адаптації в нестандартні активності через різні канали (BTL, PR, SoMe тощо);
• Перетворювати ідеї на сильні, чіткі та яскраві короткі меседжі: слогани, CTA тощо;
• Розробляти ідеї та сценарії для всіх типів відеоконтенту (TVC, Reels для SoMe, промо digital-відео, how-to відео тощо);
• Створювати сторіборди з таймкодами та AI-згенерованими візуалами для підтримки відеоконцепцій і брифінгу моушн-дизайнерів або режисерів;
• Розробляти неймінг, tone of voice та гайдлайни зі стилю комунікації для нових брендів і продуктів;
• Редагувати тексти інших копірайтерів, роблячи їх короткими, влучними та максимально чіткими;

• Тісно співпрацювати з дизайн-командою у створенні креативних концепцій для key visuals, брати участь у брейнштормах та брифінгах команди.

   

Досвід, який стане твоєю перевагою:

• 5+ років досвіду у релевантних ролях як individual contributor (creative copywriter, content creator);
• Сильне портфоліо з прикладами результативних проєктів;
• Глибоке розуміння повного циклу виробництва TVC — від розробки концепції та ідеації до продакшену та фінального контролю якості відео;
• Англійська мова на просунутому рівні;
• Здатність працювати з контентом іншими мовами, окрім англійської;
• Досвід роботи з таск-менеджмент системами (Jira, Asana тощо);
• Розуміння процесів проєктного менеджменту;

• Досвід роботи або глибоке розуміння індустрії betting/gambling.

   

Ми цінуємо:

• Сильний can-do attitude — ентузіазм, позитивну енергію та проактивність;
• Високу увагу до деталей і прагнення до бездоганного результату;

• Орієнтацію на результат та постійний пошук можливостей для покращення.

   

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

• Орієнтація на здоров’я та добробут;
• Медичне страхування;
• Можливості для кар’єрного зростання;
• Пакет бенефітів (відшкодування витрат на спортзал, стоматологічні та психологічні послуги тощо);
• Бонусну систему на основі OKR;

• Динамічне робоче середовище.

   

Долучайся — і нехай твоя історія зростання розпочнеться.

English version:

Our client, a fast-scaling international marketing company, is a major player in the iGaming industry, with a dedicated focus on expanding operations across Asia. From deep market research and business strategy to performance-driven digital campaigns and bold creatives, the team manages the entire marketing lifecycle to help clients stay ahead in one of the world’s most competitive industries.

Perfect for those who aim to:

• Create big ideas for 360° marketing campaigns and ensure their scalability and ability to be converted into non-standard activities across different channels (BTL, PR, SoMe, etc.); 
• Convert ideas into powerful, clear and catchy short-form core messages: slogans, CTAs, etc.; 
• Create ideas and scripts for all types of video content (TVC, Reels for SoMe, promo digital videos, how-to videos, etc.); 
• Develop storyboards with time codes and AI-generated visuals to support video concepts and brief motion designers or directors; 
• Create names, develop tone-of-voice and content style guides for new brands and products; 
• Fine-tune texts provided by other copywriters to make them short, catchy, and straight to the point; 
• Cooperate closely with the design team to develop creative concepts for key visuals, including team briefings and brainstorming sessions.

Experience you’ll need to bring:

• 5+ years of experience in relevant roles as an individual contributor (creative copywriter, content creator); 
• Strong, well-developed portfolio demonstrating impactful work; 
• Solid understanding of the full TVC production cycle — from concept development and ideation to production and final video quality control; 
• Advanced level of English proficiency; 
• Ability to review and process content in languages other than English; 
• Hands-on experience with task management tools (Jira, Asana, etc.); 
• Understanding of project management processes; 
• Background in or solid understanding of the betting/gambling industry.

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

• A strong can-do attitude, demonstrating enthusiasm, positive energy, and initiative; 
• High attention to detail and commitment to delivering polished, high-quality results; 
• Result-oriented mindset, always seeking improvement opportunities.

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.

We are looking for a Lead Hardware & Systems Engineer to own the full hardware domain — from system architecture through to serial production and stable field operation. You will drive our prototype to a production-ready device, coordinate mechanical and electronics engineers, and set up small-series manufacturing with potential to scale.

Responsibilities

• Architecture & Design — system hardware architecture, component and enclosure selection, thermal management, sealing, rugged design decisions, and technical specifications
• Hands-on Development — hardware bring-up, testing, verification, reliability analysis, and fault investigation
• Industrial Readiness — prototype-to-DFM/DFA transition, production documentation, contractor management, and quality control

• System Integration — integration of hardware with electronics, sensors, and antenna systems; cable architecture; field power; uptime and health monitoring

   

Requirements

• Proven experience in hardware system development
• Track record of taking a product from prototype to serial production
• Strong system architecture skills and hands-on hardware development
• Familiarity with industrial-grade or mil-tech standards
• Understanding of mechanical design and CAD tools

Nice to Have

• Experience with rugged solutions for field or industrial environments
• Background in DefenseTech, aerospace, or adjacent domains
• Familiarity with RF components or antenna systems
• English — B1+ (technical documentation, occasional communication)

What We Offer

• Real impact — your decisions directly affect the reliability of air defence systems in the field
• Full ownership of the hardware domain from day one
• Deep-tech engineering challenges that don’t exist in the civilian sector
• Office in central Kyiv, 3 minutes from the metro
• Full-time, standard business hours; some tasks may require involvement outside the usual schedule (field testing, critical updates)

About ONU Health

From the heart of Berlin, Germany, ONU Health is building the world’s first AI-driven global health account — a secure and intelligent platform that helps people store, understand, and act on their health data.
We integrate medical documents, wearables, biomarkers, and preventive analytics into one simple and beautifully designed app that empowers users to take ownership of their health. 

Our MVP is live on the App Store, our advisory board includes top figures from Charité and N26, and the product already has a strong design foundation.

Current Setup

We’re looking for Co-founder - Senior Product Designer to navigate ONU Health and elevate the experience, evolve the product system, and scale the design language as we grow. The salary will be paid once the funding round is concluded - June/July.

We have 12 VCs interested in investing and first paying customers!

Your Role

As a founding product designer, you will be closely working with our tech team and CEO, navigating UX, branding, and research to:

• Lead the evolution of the product design system across iOS and web.
• Shape the next generation of the ONU Health experience — from onboarding to preventive insights.
• Translate complex health and data concepts into simple, human-centered design.
• Partner with founders and the AI team to bring intelligent UX flows to life (e.g. chat-based health assistant, prevention dashboards, and document flows).
• Contribute to user research, prototyping, and usability testing.
• Collaborate on UX writing, information architecture, and accessibility.

Your Responsibilities

• Define and evolve the ONU design system, ensuring scalability and coherence.
• Create user flows, wireframes, prototypes, and polished interfaces.
• Conduct or guide UX research sessions with real users and pilot testers.
• Collaborate cross-functionally with engineers to ensure pixel-perfect handoff.
• Continuously refine the product using analytics, feedback, and usability insights.
• Contribute to the overall product strategy and brand experience.

Your Profile

• 4+ years of experience in product design (UX/UI), preferably in startups or SaaS products.
• Strong command of Figma, prototyping tools, and component-based systems.
• Experience designing mobile-first applications (Flutter, iOS, or cross-platform).
• Deep understanding of user-centered design and accessibility principles.
• Solid grasp of information hierarchy, data visualization, and UX for AI-driven features.
• Portfolio showcasing end-to-end product design work — from research to polished UI.
• Interest in healthtech, AI, or digital well-being.
• Fluent in English

Are you a Senior Backend Engineer passionate about building scalable AI-driven systems? Join us at Sigma Software to work on a cutting-edge platform that transforms how large-scale engineering organizations manage and analyze complex technical data.
This is a remote position with flexible locations across Europe, Ukraine, and LATAM. You will be part of an innovative team leveraging AI, semantic graphs, and distributed processing to deliver impactful solutions.
At Sigma Software, we value expertise, creativity, and collaboration. Why join us? You will work with advanced technologies, contribute to mission-critical projects, and be part of a company recognized for excellence and innovation.

CUSTOMER
Our customer operates in the AdTech industry, delivering advanced technology solutions that optimize advertising performance and audience targeting. While the name is confidential, the organization is known for leveraging cutting-edge AI and data-driven strategies to enhance campaign effectiveness and deliver measurable business impact.

PROJECT
We are developing a next-generation AI-powered Knowledge Base and Gap Analysis platform for SysML-based engineering environments. The system enables large-scale engineering organizations to ingest, structure, analyze, and reason over complex MBSE artifacts and technical documentation. It supports both cloud and secure classified environments, improving traceability, identifying gaps, and enhancing decision-making in mission-critical projects.

Responsibilities

• Design and develop scalable AI-powered backend systems for SysML-based engineering environments
• Build and maintain distributed data ingestion and ETL pipelines for large-scale engineering artifacts and technical documentation
• Develop and optimize LLM-powered workflows for metadata extraction, semantic analysis, and entity resolution
• Implement AI agents and multi-agent orchestration workflows
• Design and improve RAG-based architectures and semantic retrieval pipelines
• Develop graph-based knowledge representation and traceability analysis solutions
• Work with graph databases, graph processing libraries, and semantic relationship modeling
• Build and optimize distributed data processing workflows using Apache Spark
• Collaborate with cross-functional engineering teams to integrate AI capabilities into platform services
• Design scalable and high-performance APIs and backend services
• Improve system reliability, scalability, observability, and performance across distributed environments
• Participate in architecture discussions and technical decision-making processes
• Contribute to cloud-native infrastructure and deployment workflows
• Support deployments in secure, air-gapped, or classified environments when required
• Create and maintain technical documentation and engineering best practices

Qualifications

• At least 5 years of commercial experience in software engineering, Data Engineering, or AI systems development
• Strong production experience with Go, Rust, or Scala
• Hands-on experience building distributed and scalable systems
• Practical experience with LLM-based applications and AI integrations
• Experience building AI agents and multi-agent systems
• Strong understanding of RAG architectures and semantic retrieval workflows
• Hands-on experience with graph technologies, graph libraries, or graph databases
• Experience with Apache Spark and distributed data processing
• Strong understanding of ETL pipelines and large-scale data ingestion workflows
• Experience with cloud-native infrastructure and distributed environments
• Practical experience with backend platform development and API integrations
• Good understanding of semantic search, entity resolution, and metadata extraction
• Experience working with highly scalable and high-performance systems
• Strong problem-solving and communication skills
• Upper-Intermediate level of English

WILL BE A PLUS

• Background in Data Engineering
• Experience with Knowledge Graphs and graph-based semantic modeling
• Familiarity with MBSE or SysML environments
• Experience supporting air-gapped or classified environments
• Experience with vector databases and embedding pipelines
• Experience with Kubernetes and cloud platforms such as AWS, GCP, or Azure

Additional information

PERSONAL PROFILE

• Analytical mindset with strong problem-solving skills
• Ability to work independently and in a distributed team
• Adaptability to secure and classified environments
• Strong communication and collaboration abilities
• Passion for AI-driven engineering solutions

BrainRocket is a global company creating end-to-end tech products for clients across Fintech, iGaming, and Marketing. ‍Young, ambitious, and unstoppable, we've already taken Cyprus, Malta, Portugal, Poland, and Serbia by storm. Our BRO team consists of 1,300 bright minds creating innovative ideas and products. We don’t follow formats. We shape them. We build what works, launch it fast, and make sure it hits.

❗️Please note that this role is office-based for Poland, Warsaw.

❗️If you need to be relocated, we take care of the process.

We are looking for a skilled Senior Node.js Developer to join our team in our Warsaw office.

✅ Requirements:

✔️Strong knowledge of JavaScript and the ECMAScript 6 standards;

✔️5+ years of commercial experience with Node.js and Nest.js;

✔️5+ years of commercial experience in web development;

✔️Commercial experience of working with high-load SQL or NoSQL databases;

✔️Commercial experience of implementing the REST, GraphQL, and WebSockets;

✔️Understanding of the TDD principles and experience of writing tests;

✔️Understanding of microservice architecture principles;

✔️Experience of GIT version control system;

✔️Experience with RabbitMQ;

✔️Experience with Redis;

✔️Experience with databases MongoDB, MySQL;

✔️At least an Intermediate level of English.

✅ Will be a plus:

✔️2+ years of hands-on experience developing over CI/CD/Micro Services architecture/Containers;

✔️Experience with Kubernetes;

✔️Experience with Nats;

✔️Experience with TypeScript.

✅ Duties and opportunities:

✔️In-house platform development;

✔️3rd party API integrations;

✔️Actively participate in developing new features from scratch.

✅ We offer excellent benefits, including but not limited to:

🚀 Career growth opportunities in an international and dynamic environment;
📚 Opportunity to develop language skills with partial compensation for language courses;
🎁 Special gifts for birthdays, weddings, and newborns;
🏝️ 20 working days of paid annual vacation, plus paid sick leave;
🍲 Office snacks and refreshments;
🏋️‍♂️ Sports package to support a healthy lifestyle;
🩺 Comprehensive medical insurance for you and your partner;
📍 Comfortable office with great facilities in a prime location;
 🎉 Exciting corporate events, team-building activities, and international company parties.

Bold moves start here. Make yours. Apply today! 

BrainRocket is a global company creating end-to-end tech products for clients across Fintech, iGaming, and Marketing. ‍Young, ambitious, and unstoppable, we've already taken Cyprus, Malta, Portugal, Poland, and Serbia by storm. Our BRO team consists of 1,300 bright minds creating innovative ideas and products. We don’t follow formats. We shape them. We build what works, launch it fast, and make sure it hits.

We are looking for a Senior Frontend Developer (Angular) to join our Warsaw team. The role is on-site and requires working from the office.

✅ Requirements:

✔️A minimum of 5 years of commercial experience in web development;

✔️At least 3-4 years of commercial experience with Angular 2+ (we are using Angular 18+ and moving fast);

✔️Proficiency with Typescript;

✔️Familiarity with testing frameworks and test runner frameworks such as Jest;

✔️Experience consuming REST APIs;

✔️Clear understanding of SOLID/GRASP principles, client-side architecture, and design patterns;

✔️Awareness of cross-browser compatibility issues and client-side performance considerations;

✔️Exceptional learning skills, problem-solving, and ability to work independently;

✔️Solid understanding and extensive experience with tools like Git, npm, Webpack, Babel, and Linters;

✔️Intermediate level of English.

✅ Would be a plus:

✔️Experience in working with the Nx framework;

✔️Experience in working with TypeScript AST and writing code modifiers;

✔️Experience with GitLab CI;

✔️Experience in working with Docker, NGINX, and NodeJS;

✔️Strong product eye & understanding of typical web UX.

✅ Responsibilities:

✔️Develop a complex iGaming platform using Angular 18+ and Typescript;

✔️Write high-quality, scalable, testable, and high-performant code;

✔️Participate in software system testing and validation procedures, programming, and documentation;

✔️Potentially lead assigned projects, including assigning tasks, coordinating efforts, and monitoring performance;

✔️Provide technical advice and assist in solving programming problems;

✔️Perform code reviews and provide feedback to ensure code quality.

✅ We offer excellent benefits, including but not limited to:

🧑🏻‍💻Learning and development opportunities and interesting, challenging tasks;

📝Official employment in accordance with the laws of Poland and the EU, registration of family members;

✈️ Relocation package (tickets, staying in a hotel for 2 weeks);

📚 Opportunity to develop language skills and partial compensation for the cost of language classes;

🎁 Birthday celebration present;

🏝 Time for proper rest and 20 working days of Annual Vacation;

🍲 Office snacks and refreshments;

🏋️ Sports package to support a healthy lifestyle;

🩺 Comprehensive medical insurance for you and your partner;

📍 Comfortable office with great facilities in a prime location;

🎉 Exciting corporate events, team-building activities, and international company parties.

Bold moves start here. Make yours. Apply today! 

Senior NLP & Python Developer

Department: e-Health & AI
Reporting to: Head of AI & Data
Working hours: Full-time, 9:00 AM - 6:00 PM CET

Project Overview

We are looking for a Senior NLP & Python Developer to join a product team building a Clinical Trial Management System (CTMS) for research sites.

The platform helps clinical research organizations activate and manage studies efficiently while ensuring full regulatory compliance. A major component of the system is an AI-powered protocol intelligence engine that analyzes complex clinical trial protocols (100–400+ page medical documents) and converts them into structured workflows.

The AI system extracts and processes:

* Schedule of Assessments (SoA)
* Visit structures and timelines
* Inclusion / Exclusion criteria
* Investigational product requirements
* Regulatory and operational tasks

This is a technically demanding environment requiring:

* RAG pipeline architecture
* medical document parsing
* structured data modeling
* deterministic AI output design
* traceability and auditability
* validation-ready engineering practices aligned with regulated environments

Tech Stack

Backend / Infrastructure

* Python 3.x
* FastAPI
* SQLModel / SQLAlchemy
* PostgreSQL
* pgvector
* Docker / Docker Compose
* Celery
* Redis
* RabbitMQ

AI / NLP

* LangChain
* LangGraph
* RAG pipelines
* embeddings
* vector search
* LLM orchestration
* NER models
* VLMs
* document extraction pipelines

Engineering / Quality

* CI/CD
* structured logging
* observability / monitoring
* automated testing
* secure coding practices

Team Structure

Cross-functional product team including:

* Senior ML/Python Engineer
* ML Architect
* Frontend Engineer
* QA Engineer
* Business Analyst
* Project Manager

Responsibilities

AI / NLP Architecture

* Design and optimize RAG-based pipelines for medical protocol parsing
* Refactor LangChain workflows for scalability, modularity, and cost efficiency
* Implement dynamic model orchestration based on task complexity
* Improve explainability and traceability of AI outputs
* Build deterministic transformation layers from extracted AI output to executable workflows
* Optimize vector search performance
* Integrate external regulatory and medical knowledge sources
* Develop document/content classification pipelines

Backend & Data Architecture

* Design scalable PostgreSQL schemas
* Model complex clinical entities:
   * Studies
   * Visits
   * SoA
   * Eligibility criteria
   * Regulatory tasks
* Ensure audit trail capabilities
* Improve database performance and transactional consistency

System Hardening & Validation

* Implement monitoring and structured logging for AI pipelines
* Improve reproducibility and explainability
* Expand automated testing coverage
* Support validation readiness for regulated environments
* Enforce secure engineering practices

DevOps & Scalability

* Maintain Docker-based deployments
* Improve CI/CD workflows
* Support monitoring and error tracking
* Ensure scalability for multi-site / multi-study usage

Required Experience

Backend / Architecture

* 5+ years with Python
* Strong FastAPI experience
* Deep SQLAlchemy expertise
* Strong PostgreSQL knowledge (schema design, indexing, migrations, tuning)
* Experience with Docker-based deployments
* Experience with Celery / Redis / RabbitMQ
* Strong system architecture skills
* Experience with document extraction systems

NLP / AI

* Hands-on experience with LangChain
* Production RAG implementation experience
* Experience with vector databases (preferably pgvector)
* Knowledge of embeddings and model orchestration
* Prompt engineering experience
* Experience designing deterministic AI systems

Domain Experience

Experience in regulated industries is strongly preferred:

* healthcare
* life sciences
* fintech
* other compliance-heavy environments

Nice to Have

* GxP / validation-ready AI systems experience
* experience with pre-commit / Ruff / Poetry
* large-scale system re-architecture experience

Ideal Profile

Looking for someone who:

* thinks architecturally, not just feature-by-feature
* can balance AI innovation with production reliability
* is comfortable in early-stage product environments
* communicates well across engineering, product, and QA teams
* has real production AI/NLP ownership, not only experimentation or prototypes

Start date: beginning of June
Duration: 6 months
Working hours: 9 AM – 6 PM CET
Payment terms: 40 days
Location restrictions: No Russian or Belarusian nationals, including relocated individuals. Proof of nationality required (name, nationality, and document validity only: no sensitive data!)

EKTOS is a global electronics design house. We handle everything from initial specifications and R&D to testing for industries like Healthcare, Transport, and Agriculture. Join us to create unique devices that come to life right before your eyes!

 The Role

As a Senior Embedded Linux Developer, you will lead the architecture, development, and optimization of embedded Linux systems (Yocto/Buildroot). You’ll bridge the gap between hardware and software, mentor juniors, and ensure high-performance delivery for diverse platforms.

 Key Responsibilities

• Architecture & BSP: Define system architecture; develop and maintain BSPs for ARM/x86; configure bootloaders (U-Boot) and kernels.
• Development: Write kernel modules, drivers, and middleware; integrate peripherals (Ethernet, CAN, SPI, USB, etc.) using C/C++ and Python.
• Optimization: Improve power efficiency and memory usage; implement Secure Boot and OTA updates.
• CI/CD: Manage toolchains, cross-compilation, and automated pipelines (GitLab CI/Docker).
• Leadership: Provide technical guidance, code reviews, and support project proposals.

Qualifications

• Experience: 5+ years in embedded Linux development with a track record of production-ready systems.
• Tech Stack: Strong C/C++, Python, Bash.
• Tools: Expert knowledge of Yocto Project or Buildroot, Device Trees, and Linux kernel internals.
• Hardware: Experience with hardware bring-up and debugging tools (JTAG, oscilloscopes).
• Connectivity: Proficiency in networking protocols and IPC.
• English: Intermediate level or higher.
• Bonus points for: Experience with RTOS, Cybersecurity (TPM), or industrial protocols (MQTT, Modbus).

We offer:

• 24 working days of paid vacation;
• Paid sick leave;
• Competitive salary;
• Experienced colleagues who are ready to share knowledge;
• Regular salary reviews;
• Free English lessons (we have a wonderful English teacher);
• Friendly atmosphere, care for the comfort of specialists;
• Corporate events;
• Medical insurance