Jobs

We are looking for a Senior Data Engineer Consultant to join an AI consulting engagement focused on LLM architecture, RAG, data strategy, and AI platform advisory.
 

This is an advisory role rather than a full-time implementation position. The consultant will work with AI architects, ML engineers, MLOps specialists, and the client’s engineering team to assess the current data landscape, review proposed solutions, and provide practical technical recommendations.
 

Responsibilities
 

Data Strategy
 

• Review the existing enterprise data landscape and available data sources.
   
• Assess data readiness for foundation model training, fine-tuning, evaluation, and RAG.
   
• Recommend data acquisition, prioritization, and preparation approaches.
   
• Advise on multilingual data preparation strategies.
   

Data Pipelines
 

• Review the current ETL/ELT architecture and data processing workflows.
   
• Recommend pipeline designs for model training, inference, and evaluation.
   
• Evaluate orchestration, dataset versioning, and data traceability approaches.
   
• Assess pipeline scalability, reliability, maintainability, and performance.
   

RAG Data Engineering
 

• Review document ingestion architecture for enterprise knowledge bases.
   
• Recommend parsing, chunking, metadata enrichment, embedding, and indexing approaches.
   
• Evaluate vector database and search integration strategies.
   
• Advise on incremental updates, synchronization, access-aware retrieval, and retrieval optimization.
   

Data Governance and Quality
 

• Review data lifecycle management and data governance practices.
   
• Assess PII handling, data masking, retention policies, access control, lineage, and auditability.
   
• Recommend data validation and quality-control frameworks.
   
• Review training and evaluation datasets.
   
• Advise on monitoring data freshness, consistency, completeness, and data drift.
   

Documentation and Consulting
 

• Prepare technical recommendations, architecture assessments, and implementation guidelines.
   
• Review technical documentation, diagrams, and proposed designs.
   
• Participate in architecture reviews, design discussions, and technical workshops.
   
• Conduct knowledge-transfer sessions with the client’s engineering team.
   

Technology Stack
 

Python, SQL, Apache Airflow, Apache Kafka, Hadoop, Apache Superset, n8n, ETL/ELT, RAG Pipelines, Vector Databases, Data Governance, Cloud (AWS, Azure or GCP).
 

Preferred Domain Experience
 

Experience in banking, fintech, financial services, or another highly regulated domain is highly desirable.
 

The ideal candidate should understand domain-specific requirements related to:
 

• sensitive and confidential data;
   
• PII protection and data masking;
   
• role-based access control;
   
• data retention and auditability;
   
• regulatory and compliance requirements;
   
• secure use of enterprise data in AI and LLM solutions.
   

Engagement Details
 

• Engagement model: Part-time consulting.
   
• Workload: Flexible and non-uniform, depending on the current project phase.
   
• Expected activities: Architecture reviews, workshops, document reviews, technical assessments, and advisory sessions.
   
• Duration: Approximately 6 months.
   
• Project type: AI/LLM consulting engagement.
   
• Client interaction: Direct collaboration with the client’s engineering and architecture teams.
   
• Availability: The consultant should be able to join scheduled sessions and provide asynchronous reviews between meetings.
   

Blockchain-Based Fund Management Platform We're building a blockchain-based platform for managing and disbursing funds for construction and infrastructure projects. It uses stablecoins, smart wallets, and milestone-based smart contracts to release payments to developers, contractors, and subcontractors only after required approvals — with built-in KYC/KYB, custody and on/off-ramp integrations, document storage, and AI-assisted milestone verification. 

We're looking for someone to: Support the discovery phase and validate the proposed technical architecture Assess risks and integration points across the stack

Help estimate development effort Ideal experience: Infrastructure security, regulatory compliance, KYC/KYB, transaction monitoring Integrating Web2 cloud (AWS/GCP) with Web3 infra, incl. IPFS or similar for secure document storage Regulated fintech, crypto-payments, escrow, or DeFi projects Securing LLM APIs — prompt injection prevention, RBAC for automated agents Modern web stacks (Node.js, Next.js) and API layer security

Nice to have: Fireblocks, Circle, Stellar, WalletConnect, IPFS or similar.

Job Description

Own end-to-end testing for an FDA-regulated Android application in diabetes care. You will design risk-based tests, automate critical user flows, and ship compliant, high-quality releases for global markets. Work closely with Android developers, QA, Product, and Regulatory as a senior individual contributor.

Minimum Qualifications

• 5+ years in software testing, including mobile; 2+ years focused on Android.
• Good knowledge of testing methodology, test development, and test execution.
• Strong software skills in Python, with the ability to create and maintain automated tests in a custom client framework.
• Hands-on Android environment setup: Android Studio/SDK, emulators/devices, adb, Gradle; ability to perform one-time setup and ongoing
  maintenance.
• Version control and CI/CD: Git; ability to configure and run jobs in Jenkins/Bamboo (working with existing pipelines).
• Experience with test management and traceability in Agile/Scrum environments.
• Familiarity with medical software regulations and standards (IEC 62304, ISO 14971, FDA) and creating verification evidence.

Nice to Have

• Experience with mobile UI automation frameworks (e.g., Appium or similar concepts).
• Network and API testing (e.g., proxy tools, REST).
• Localization/i18n testing, accessibility (TalkBack), and performance profiling.
• Perforce exposure.
• Experience with device labs or cloud device providers.

Job Responsibilities

Develop, maintain, and execute automated and manual test suites for the Android app using the client’s internal mobile test framework (custom, conceptually similar to common mobile automation stacks).
Create test plans, test cases, and test reports; define entry/exit and gating criteria for releases.
Build, stabilize, and monitor regression and smoke suites; ensure green builds and rapid failure isolation.
Configure and run automation in existing CI pipelines (e.g., Jenkins/Bamboo); investigate failures and triage defects with logs and artifacts.
Analyze requirements and influence design for testability; identify coverage gaps and add use cases accordingly.
Ensure end-to-end traceability and compliance-ready verification evidence in collaboration with Quality and Regulatory.
Partner daily with Android engineers, QA, Product, and Scrum Master to drive release readiness.
Participate in design reviews and continuous improvement of the test process.

Department/Project Description

Join the Android Engineering team delivering safety-critical, regulated mobile software for diabetes care. You will focus on product quality and reliability for international markets, with domain onboarding provided to accelerate your impact. Framework development is out of scope for this role; you will use and configure the existing internal framework to achieve high coverage and reliable automation.

Key Responsibilities

• Develop and execute comprehensive financial processes: accounting, reporting, and financial operations
• Lead managerial reporting aligned with company’s strategic objectives — with actionable insights, not just numbers
• Prepare accurate financial statements, forecasts, and reports for executive management and investors
• Oversee fiscal reporting and compliance in Cyprus
• Prepare the company for audit and successfully pass Big4 audit
• Manage contractor payments and transfers — ensuring smooth, compliant payouts at scale
• Open and manage bank accounts, payment instruments, processing solutions, and fintech relationships
• Pass compliance procedures in financial and banking institutions
• Manage budgeting, financial planning, and controlling processes
• Monitor financial performance and provide recommendations to executive management
• Manage financial risk, compliance, and internal controls
• Leverage AI tools including Claude Technologies in day-to-day financial operations

• Direct reporting to CEO with a clear path to CFO

   

Qualifications

• Proven experience working with Cyprus entities — mandatory requirement
• Big4 background is a strong plus
• Experience preparing companies for Big4 audit
• Proven experience in a financial role within an international IT company
• Hands-on experience with contractor payments, bulk transfers, and payment infrastructure
• Experience opening bank accounts and working with fintechs and payment processors
• Track record of passing compliance in financial institutions
• In-depth knowledge of financial regulations and accounting principles
• Exceptional analytical and strategic thinking skills
• Excellent communication skills in English (written and spoken)

• Proficiency in AI tools, including Claude

   

What We Offer

• 20 vacation days + 10 sick days
• Flexible schedule, fully remote
• Sports, psychology, and health insurance budgets
• Education and English course funding
• Team-building events

If we don’t contact you within two weeks, it means there’s no suitable opening at this time. We’ll keep your application on file for future opportunities.

We are looking for an Account Manager who will act as the main point of contact for our existing clients and take full ownership of client relationships, service delivery, team communication, and account growth. Most of our cooperation is based on the IT outstaffing model, although we also work with projects developed from scratch.

Required skills:

• 5+ years of relevant experience in IT, including at least 1 recent year as an Account Manager in an outstaffing/outsourcing company
• Upper-Intermediate English or higher, with strong written and verbal communication skills
• Proactive, people-oriented, organized, and results-driven personality
• Strong ownership, problem-solving, and relationship-building skills
• Ability to independently manage multiple clients, priorities, follow-ups, and deadlines

Responsibilities: 

• Act as the main point of contact and source of truth for assigned clients. Build client relationships, understand their needs, gather feedback, identify risks, and proactively resolve concerns or cooperation issues
• Coordinate communication between clients, developers, recruitment, finance, and internal management.
• Maintain regular communication with developers to understand project status, workload, challenges, and improvement opportunities
• Identify and drive account growth and upsell opportunities and coordinate hiring for existing clients: clarify requirements, open vacancies, monitor recruitment progress, resolve blockers, and organize client interviews
• Manage operational account matters, including vacations, sick leaves, time logs, client reporting, billing information, invoices, and payment follow-ups

Team and work setup

• The Account Management team consists of 5 Account Managers, an Account Management Team Lead, and the CEO, who is involved in key client matters
• The role includes daily meetings with the Team Lead, regular team meetings, weekly communication with developers, and client meetings based on the needs of each account
• In our daily work, we use Google Workspace, documents and spreadsheets, HubSpot as a CRM, and Notion as a knowledge base system

If this sounds like the right opportunity for you, apply now! We look forward to discussing this further.

We are looking for a Computer Vision Engineer with strong experience in deep learning and applied computer vision systems.
The role involves working on challenging CV problems in real-world environments.
We consider Middle and Senior engineers, with scope adapted to experience.
Responsibilities

• Develop, train, and optimize deep learning models for:
  • image retrieval
  • image matching (keypoint detection and matching)
  • auxiliary perception tasks supporting the main pipeline
• Evaluate models using quantitative metrics, including:
  • retrieval quality (mAP, Recall@K)
  • matching performance (precision/recall, repeatability)
  • end-to-end system metrics (accuracy, latency, robustness)
• Optimize models for production deployment using modern toolchains:
  • ONNX / TensorRT / OpenVINO / edge acceleration where applicable
  • model compression techniques (quantization, pruning, distillation)
  • latency, memory, and throughput optimization
• Work with large-scale visual datasets and descriptor-based representations
• Collaborate with engineering teams to integrate models into production systems

Required Qualifications

• 2–4+ years of experience in Computer Vision / Deep Learning
• Hands-on experience with keypoint detection and matching models (e.g. SuperPoint, R2D2, DISK, LightGlue, SuperGlue)
• Experience with image retrieval or metric learning systems
• Strong understanding of geometric and motion-related computer vision concepts:
  • keypoint detection and description
  • image matching and geometric verification (RANSAC, homography, PnP)
  • pose estimation and refinement techniques (PnP, bundle adjustment, pose graph optimization)
  • optical flow and frame-to-frame tracking
  • vector search / ANN methods for descriptor retrieval
• Strong Python skills (PyTorch and scientific computing stack)
• Ability to read and understand inference code in C++

Nice to Have

• Experience with noisy or imperfect real-world datasets
• Self-supervised or unsupervised learning methods (contrastive learning, homography supervision, etc.)
• Experience optimizing models for edge deployment (quantization, pruning, distillation)
• Familiarity with FAISS or similar vector search systems
• Experience with optimization libraries for geometric problems (bundle adjustment, pose refinement)
• Understanding of real-time constraints (latency, memory, CPU inference budgets on ARM or low-power x86 systems)

We are looking for a Senior Frontend Engineer to join our client's engineering team in a long-term, fully remote engagement. This is a full-time opportunity for an experienced and independent engineer who enjoys taking ownership, solving complex frontend challenges, and building high-quality user experiences with modern React technologies.

This role is ideal for someone who thrives in a fast-paced environment, is comfortable working autonomously, enjoys researching and solving problems independently, and embraces AI tools while maintaining a strong understanding of the underlying technologies.

Key Responsibilities:

• Design, develop, and maintain scalable frontend applications using React and TypeScript
• Build intuitive, responsive, and high-performance user interfaces
• Manage complex application state using Redux
• Develop reusable UI components with Material UI and MUI X
• Take ownership of frontend architecture, technical decisions, and code quality
• Collaborate closely with product managers, designers, and backend engineers to deliver new features
• Conduct independent research to evaluate technical solutions and recommend best practices
• Leverage AI tools to improve development workflows while maintaining a deep understanding of the underlying implementation
• Contribute to code reviews and continuous improvement initiatives

Requirements:

• 5–7 years of commercial frontend development experience
• Strong hands-on experience with React, TypeScript, and Redux
• Solid experience building applications with Material UI and MUI X
• Ability to work independently with minimal supervision and take ownership of deliverables
• Strong analytical and problem-solving skills with the ability to perform independent technical research
• Comfortable incorporating AI tools into daily development workflows while understanding how the technology works behind the scenes

• Excellent communication skills and fluent English, both written and spoken

   

Nice to Have:

• Experience working in startup or scale-up environments

What We Offer:

• Fully remote, long-term opportunity
• High level of ownership and autonomy
• Collaborative engineering culture with experienced teammates
• Interesting product challenges using modern frontend technologies
• Opportunity to work in an AI-driven engineering environment
• Competitive monthly compensation based on experience and expertise

How to Apply:

Send us a short intro about yourself and your relevant experience - and tell us your favourite ice cream flavour (ours is cherry🍒)

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

Ідеально для тих, хто прагне:

• Писати чистий, читабельний код;
• Виконувати як прості, так і складні ініціативи;
• Брати відповідальність за отримані завдання;
• Координувати взаємодію між командами в межах робочих задач.

Досвід, який стане твоєю перевагою:

• 4+ роки досвіду з .NET (C#) у продакшн-системах;
• Сильний досвід роботи з ASP.NET Core Web API та проєктування RESTful API;
• Глибоке розуміння HTTP (таймаути, повторні спроби, ідемпотентність, статус-коди);
• Досвід інтеграції із зовнішніми API;
• Вміння проєктувати інтеграційні шари та модульні системи (clean architecture / onion / прагматичне шарування);
• Глибоке розуміння мікросервісів та архітектури розподілених систем;
• Досвід асинхронної взаємодії та event-driven архітектури;
• Ґрунтовні знання реляційних баз даних (SQL, транзакції, індекси, оптимізація продуктивності);
• Досвід написання unit- та integration-тестів;
• Розуміння автентифікації та авторизації (OAuth 2.0, OpenID Connect).

Ми цінуємо:

• Відповідальність за результат;
• Сильні навички міжкомандної взаємодії;
• Проактивний та відповідальний підхід до роботи;
• Мислення та комунікація на рівні senior-спеціаліста.

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

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

Долучайся — і нехай твоя історія зростання розпочнеться.

English version

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

Perfect for those who aim to:

• Write clean, readable code;
• Execute both trivial and non-trivial initiatives;
• Take ownership of the received initiative;
• Coordinate cross-team interactions within the framework of task work.

Experience you’ll need to bring:

• 4+ years with .NET (C#) in production systems;
• Strong experience with ASP.NET Core Web API and RESTful API design;
• Strong understanding of HTTP semantics (timeouts, retries, idempotency, status codes);
• Experience with external API integration;
• Ability to design integration layers & modular systems (clean architecture / onion / pragmatic layering);
• Deep understanding of microservices and distributed systems architecture;
• Experience with asynchronous communication and event-driven architecture;
• In-depth knowledge of relational databases (SQL, transactions, indexing, performance tuning);
• Experience writing unit and integration tests;
• Understanding of authentication and authorization (OAuth 2.0, OpenID Connect).

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

• Ownership and accountability;
• Strong cross-team collaboration skills;
• Proactive and responsible approach to work;
• Senior-level mindset in decision-making and communication.

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.

Influence Pro Services is launching a portfolio of B2C consumer products in the US and European markets within the health & wellness, money & career, lifestyle, and productivity niches. This is a role focused on launching products from scratch — from initial validation campaigns and finding product-channel fit to scaling channels post-PMF.

What you will do:

• Launch performance campaigns from scratch for the US and European markets: Meta, Google, TikTok, Apple Search Ads — from the first dollar spent to scaled budgets.
• Build and defend product unit economics: CAC, LTV, payback, ROAS across various horizons, and contribution margin.
• Set up the attribution stack: MMP, SKAdNetwork / AEM conversion value mapping, Conversions API, and server-side tracking.
• Design and run experiments: creative testing, paywall A/B tests, onboarding variations, pricing tests, and geo-experiments.
• Work on paywall optimization and monetization: structure, introductory offers, trial mechanics, and win-back campaigns.
• Manage creative production: briefs for designers and creative testing frameworks.
• Build an ASO strategy for mobile products: keyword research, metadata, visual ASO, and mapping Custom Product Pages (CPP) to paid creatives.
• Work with the retention/lifecycle layer: email, push notifications, and in-app messaging.

• Participate in building the unit's growth team alongside the CCO as the business scales.

   

What we expect:

• 3+ years of experience in growth/performance marketing.
• 1+ years of experience working with B2C products.
• Experience with subscription-based mobile/web products in Tier 1 markets.
• Deep understanding of unit economics: blended vs. paid CAC, predicted LTV, payback, D7/D30/D90 ROAS, and contribution margin net of refunds and chargebacks.
• Hands-on experience with Meta Ads, Google Ads, TikTok Ads, and Apple Search Ads — proficiency in independently launching and scaling at least 3 out of these 4 channels.
• Analytical skills: experience with Amplitude / Mixpanel.
• Experience in A/B testing with a solid understanding of statistical significance, sample size, and holdout groups.
• English proficiency: Upper-Intermediate or higher.

• Ownership mindset: taking full responsibility for the ROAS and payback of your unit.

   

Nice to have:

• Experience launching B2C products in the US market from scratch or at an early stage.
• Experience in 0-to-1 launches or a startup environment.
• ASO expertise (AppTweak / Sensor Tower / Data.ai).
• Experience with influencer / UGC paid amplification and whitelisting campaigns.
• SEO experience for web funnels.
• Experience mentoring or participating in hiring for a growth team.

About the Company

We’re an international proptech company building a real estate investment platform that enables investors to co-own income-generating properties and finance real estate projects. Our platform serves a growing community of 27,000+ investors, and we’re focused on building scalable, modern financial technology products.

We’re expanding our AI-first engineering team and are looking for a Senior PHP Backend Developer who enjoys owning the backend from development through deployment. You’ll work in a fast-moving environment where AI is an essential part of the engineering workflow, helping experienced developers deliver faster without compromising quality.

What You’ll Do

• Build scalable backend services using Laravel.
• Write Unit and Feature tests first (Pest/PHPUnit) following TDD principles.
• Own deployments on Google Cloud Platform (Cloud Run, Cloud SQL, Cloud Build).
• Use AI development tools such as Codex, Claude Code, Cursor, GitHub Copilot, Gemini CLI, and similar to improve development speed and code quality.
• Monitor performance, identify bottlenecks, and continuously improve the architecture.

• Build secure, scalable, and maintainable backend systems

   

Requirements

• 5+ years of commercial experience with PHP and Laravel.
• Strong experience with Test-Driven Development (TDD).
• Hands-on experience with Google Cloud Platform, including Docker, Artefact Registry, Cloud Run, and serverless services.
• Proven daily experience using AI coding tools (Codex, Claude Code, Cursor, Copilot, Gemini, or similar).
• Strong understanding of AI-assisted and agentic development workflows.
• Strong knowledge of Eloquent ORM, query optimisation, indexing, and performance tuning.
• Experience building secure applications (OWASP, secure APIs, encryption).
• Solid understanding of PostgreSQL/MySQL, REST APIs, and OOP.
• Excellent communication and collaboration skills.

• English level: B2+.

   

Must-Have Experience

• Laravel - 5+ years
• Google Cloud Platform - 5+ years
• PostgreSQL - 5+ years

• Gemini - 2+ years

   

Nice to Have

• Laravel Horizon / Pulse
• GitHub Actions
• Google Antigravity

• Open-source contributions (PHP or AI developer tooling)

   

Why Join

• AI-first engineering culture.
• Small, highly collaborative team with direct access to decision-makers.
• Latest AI development tools and subscriptions provided.
• Google Cloud credits.
• High ownership and autonomy over technical decisions.
• Opportunity to influence architecture and engineering practices in a growing product company.

Join Innoneers - a software engineering company building Web, Mobile, Cloud, and AI-driven solutions for clients across E-commerce, Fintech, Logistics, and other domains.

We are looking for an Embedded ML Engineer to join our engineering team and work on machine learning solutions for real-world hardware and software applications.

In this role, you will design, optimize, and deploy ML models for embedded systems, focusing on latency, memory efficiency, power optimization, and reliable model performance in production environments.

What you’ll do:
• Design, optimize, and deploy ML models for embedded systems
• Work with Python, PyTorch / TensorFlow, NumPy, Scikit-learn, and C++
• Optimize models for latency, memory usage, and power efficiency
• Work with time series, sensor data, and real-time data processing
• Support integration with hardware AI accelerators and embedded platforms
• Collaborate with hardware engineers, data scientists, software engineers, and clients
• Translate customer needs into technical requirements
• Share technical insights with stakeholders and mentor junior engineers when needed

Requirements:
• 5+ years of hands-on experience in AI / ML development and deployment
• Previous experience with Embedded AI, TinyML, Edge AI, or ML for hardware-related systems
• Mandatory strong proficiency in C++ for embedded software development
• Strong Python skills for ML development
• Experience with PyTorch / TensorFlow, Scikit-learn, and NumPy
• Experience with time series data, sensor data, or real-time data processing
• Understanding of embedded software architecture and model optimization
• Good communication skills and ability to work with cross-functional teams

Nice to have:
• Experience with hardware AI accelerators or neuromorphic processors
• Experience with explainable AI, edge model optimization, or R&D projects

We offer:
• Remote full-time cooperation
• Flexible working hours
• Complex engineering challenges in AI and embedded ML
• Supportive engineering culture and room for technical growth

Are you eager to bring state-of-the-art machine learning models to both edge devices and the cloud? Do you excel in fast-paced environments, constantly pushing the limits of what’s possible? Are you someone who always strives to see the bigger picture and go the extra mile?

If so, we have a compelling opportunity for a Technical Lead to join our team. In this role, you’ll be at the forefront of developing and integrating various modules, components, and models across a range of edge platforms. Your assistance will include designing and implementing robust data processing pipelines that ensure recurrently improving performance on edge systems.

Required Skills and Qualifications:

• Strong proficiency in C/C++, preferably with a solid background in embedded systems programming (at least 5 years).
• Additional Python experience is welcome.
• Experience in developing and deploying software solutions on edge devices.
• Expertise in designing and implementing robust data pipelines capable of seamlessly integrating with edge devices.
• Proficiency with containerization technologies (e.g., Docker, Podman) and orchestration platforms (e.g., Kubernetes, OpenShift) for deploying and managing ML inference workloads at the edge and in the cloud.
• Knowledge of CI/CD workflows and automation tools.

Would be an advantage:

• Hands-on experience with sensor data acquisition, preprocessing, and integration on edge devices, utilizing communication protocols such as SPI, UART, I2C, and others.Tech Lead (C/C++) 1
• Solid understanding of edge computing constraints, including resource limitations, power efficiency, latency considerations, and offline operation strategies.
• Experience working with embedded operating systems, such as Linux-based platforms (e.g., Raspbian, Ubuntu Server) and real-time OSes (e.g., FreeRTOS, NuttX), ensuring effective integration with edge ML inference systems.

Preferred Experience:

• Experience of working with a team of developers, setting technical direction, and mentoring engineers in best practices for C++ and embedded systems development.Experience working with cross-compilation toolchains and build systems like CMake, Bazel, or Meson for embedded and edge platforms.
• Strong knowledge of real-time systems and constraints, with expertise in concurrency control, scheduling, and real-time operating systems.
• Familiarity with DevOps practices, CI/CD pipelines, and automated testing strategies for C+±driven development workflows.
• Experience with UAVs, drones, or flight controllers, including their integration with embedded AI systems for real-time inference and onboard data processing.

We are open to communicating with Candidates who can contribute to our cause on a part-time basis as Consultants. This role offers a clear path toward a CTO position for a candidate who demonstrates both technical excellence and strategic leadership.

Company Benefits are discussed with Candidates specifically.

FutureMedia is a dynamic, remote-first digital services company specializing in SaaS products, AI-powered solutions, and web and mobile application development. Our team brings together diverse digital experts who focus on innovation, problem-solving, and delivering impactful, technology-driven products for clients across global markets.

We design, develop, build, and analyze. We deliver impactful digital products and services — SaaS products, AI-powered solutions, web and mobile applications. As pioneers in the digital services space, we’re a team that knows how to innovate while having fun. Remote-first, but connection and collaboration are at our core.

About the Role

Our data is a strategic asset, and we are now building the infrastructure needed to unlock it. As an early member of our Data team, reporting to the Head of Data, you will design and own the pipelines, warehouse, and tooling that turn product signals into business intelligence.
You are joining at the ground floor: the data layer is being built now, so your decisions will shape it. We treat data as a product and hold a high bar for quality and reliability. The stack includes Python, SQL, dbt, Airflow or Prefect, Snowflake or BigQuery, Segment, Amplitude, AWS or GCP, Terraform, Looker or Metabase, Fivetran or Airbyte, GitHub Actions, and Kafka (planned).

What You’ll DoPipelines & Warehouse

• Design, build, and maintain scalable ELT/ETL pipelines ingesting data from product surfaces, payment providers, and third-party APIs
• Architect and manage our cloud data warehouse (Snowflake, BigQuery, or Redshift) from the ground up
• Implement orchestration workflows (Airflow, Prefect, or similar) for reliability and full observability

• Optimise warehouse performance and cost through query tuning, clustering, and sensible warehouse sizing

   

Transformation, Quality & Governance

• Develop clean, well-documented, testable transformation layers (dbt or equivalent), applying dimensional modelling principles
• Build and govern a canonical semantic layer so metric and entity definitions stay consistent across every BI tool and consumer
• Define and enforce data quality standards, SLAs, tests, and monitoring across critical datasets, and maintain a central data catalogue with clear lineage

• Build security and governance into the platform: RBAC, PII classification and masking, encryption, and retention and deletion workflows that support privacy requests

   

Product & Engineering Partnership

• Partner with Product and Growth to instrument event tracking (Segment, Amplitude, or similar) and deliver datasets that power funnels, subscription metrics (MRR, churn, LTV), and A/B test reporting
• Collaborate with Software Engineers on data contract design, API logging, and Change Data Capture where needed

• Champion DataOps practices: version control, CI/CD for data, and documentation-as-code

   

What We’re Looking For (Must-Have)

• 3+ years of professional experience as a Data Engineer or in a closely related role
• Strong command of SQL and at least one of Python or Scala for data processing
• Hands-on experience with a modern cloud data warehouse (Snowflake, BigQuery, or Redshift)
• Experience with workflow orchestration tools (Airflow, Prefect, Dagster, or equivalent)
• Prior experience at a B2C SaaS, subscription, or marketplace business, with a grasp of funnels, churn, and LTV
• Solid understanding of data modelling principles and experience with dbt or a similar transformation framework
• Proven ability to design and scale batch and/or streaming data pipelines in production
• A strong sense of data ownership — you treat data as a product and hold a high bar for quality and reliability
• A clear communicator who can translate technical decisions into business value for non-technical stakeholders

• Comfortable handling personal data responsibly, applying access controls and privacy-aware practices

   

Nice to Have

• Familiarity with product analytics tools such as Segment, Amplitude, or Mixpanel
• Experience building or contributing to a semantic layer or canonical data model
• Experience with streaming platforms (Kafka, Kinesis) for real-time use cases
• Exposure to ML infrastructure or feature stores, a plus as we expand into AI products
• Experience setting up a data platform from scratch in a scale-up environment

Working Conditions

• Competitive compensation
• Remote-first culture with flexible working hours 
• 22 paid vacation days + local national holidays 
• Opportunity to shape the excellence across a growing engineering organisation 
• Modern stack, scalable products, and meaningful technical challenges 

About the role:

Our client is a Netherlands-based product company developing an intelligent platform that automates logistics and freight-forwarding processes through AI-driven solutions.

Responsibilities:

• Design, develop, and enhance AI agents that automate logistics workflows
• Expand the capabilities of intelligent bots for customer support and commercial proposal generation
• Improve model reliability and reduce LLM hallucinations
• Build dashboards for both customers and internal teams

• Optimize and scale existing systems through refactoring and performance improvements

   

Requirements:

• 5+ years experience with Python/AI
• Strong experience with Python and Django/FastAPI
• Solid understanding of OAuth 2.0, SSO, and REST APIs
• Experience with PostgreSQL (SQLAlchemy is a plus)
• Experience with Redis/RabbitMQ and Celery
• Hands-on experience with LLM-related tools and frameworks, such as:
• Ollama
• LlamaIndex
• LangChain / LangGraph
• Tool Calling
• Sentence Transformers
• Experience with:
• Pandas
• NumPy
• scikit-learn
• pytest
• Faker
• Experience working with email systems (parsing, generation, routing)
• Knowledge of prompt engineering or practical experience integrating LLM-based solutions
• Fluent English (spoken and written)

Will be a plus:

• Experience in logistics, freight forwarding, or supply chain domains
• Experience optimizing ML/LLM pipelines
• Knowledge of RAG architectures, FAISS, and Vector Databases
• Strong focus on code quality, maintainability, reusability, and stability
• DevOps experience with CI/CD, Docker, Docker Compose, and Kubernetes
• Hands-on experience with monitoring and observability using the Grafana stack

Our client runs a top-20 global gaming hosting product and is now launching a second, standalone B2C product — managed WordPress & AI-tools hosting.

Tech, payments, and legal structure are ready; the product needs its first marketing hire to build acquisition from scratch.

Main Responsibilities

• Own traffic acquisition end-to-end: launch and run SEO and/or PPC as a hands-on practitioner
• Set channel/market priorities, own and allocate a monthly budget in the $50–100K range
• Build and hire a small marketing team (starting ~5 people, with access to 20+ marketers company-wide)
• Set up analytics and unit economics (CAC, LTV, payback, contribution margin)
• Run a continuous testing process (A/B tests, hypothesis-driven growth)

Mandatory Requirements

• 3+ years hands-on, practitioner-level expertise in SEO or PPC
• Experience managing a team of 5+ people, including hiring and development
• Proven experience managing budgets of $50K+/month
• Solid grasp of unit economics and A/B testing methodology
• Strong analytical, energetic, results-first mindset — decisions driven by data, not activity volume
• High autonomy: comfortable operating with ambiguity and owning outcomes

Nice-to-Have

• Experience in hosting, SaaS, or subscription/B2C products (strong plus)
• Multi-channel expertise (SEO + PPC) rather than single-channel
• Tier-1 market experience (US, UK, Germany)

We offer

• Salary review every 6 months
• Real ownership: your own budget, channel decisions, and a small team to build out
• Clear growth path to leading the entire product line (P&L, product, team) if you deliver
• High-trust, low-bureaucracy environment — no micromanagement, results speak for themselves
• Fully remote, async-friendly culture
• Standard paid time off (vacation/sick days)