Jobs

CodeTiburon is looking for an AI Research Engineer — Neuro-Symbolic Reasoning & Generative AI to join our team and work closely with one of our long-term clients.
 

About the Project

Our client is an applied AI lab specializing in formal knowledge representation and next-generation reasoning. The project is dedicated to building “semantic AI” capable of deep, grounded reasoning over complex structures such as texts, arguments, and intellectual traditions.
 

The core mission is to combine the power of modern LLMs with the rigor of neuro-symbolic methods and Knowledge Graphs. By focusing on domains with the highest logical standards, the team aims to set new benchmarks for responsible and intelligent AI behavior across the industry.
 

About the Role:

You will be employed by CodeTiburon and embedded into the client’s research team on a long-term basis. Working alongside a Senior Applied Scientist, you will help transform research ideas into production-quality systems and reproducible experiments.

While the Applied Scientist defines research directions and designs novel algorithms, you will be responsible for implementing experiments, fine-tuning models, building evaluation frameworks, developing data and reasoning pipelines, and iterating toward robust, production-ready solutions.

You will serve as a key engineering partner in the research process—proposing implementation strategies, identifying engineering constraints early, and translating hypotheses into measurable results.

 

Topics You Will Work On:

• Experiment Implementation. Translate research designs from the Applied Scientist into clean, reproducible Python experiments—covering neuro-symbolic architectures (LTN, DeepProbLog, LARK), hybrid LLM+KG pipelines, and RAG systems.
• Knowledge Graph & Ontology Engineering. Build and maintain tooling around RDF/OWL 2 ontologies, SPARQL/Cypher queries, and graph databases (Neo4j, Amazon Neptune) to feed downstream reasoning modules.
• RAG/KG Pipeline Development/Integration. Implement and iterate on retrieval-augmented generation/KG pipelines—combining dense, sparse, and structured retrieval over heterogeneous corpora with provenance tracking.
• LLM Fine-Tuning & Evaluation. Run supervised and RLHF/DPO fine-tuning experiments; build evaluation harnesses that include symbolic verification layers, benchmarks, and regression suites.
• Research Infrastructure. Own the experiment tracking, dataset pipelines, and MLOps scaffolding (MLflow, SageMaker, Vertex AI) that let the team iterate quickly and reproduce results reliably.
• Literature & Prototyping. Stay current with relevant publications; rapidly prototype ideas from newly published methods and assess their fit against the client’s goals.
  
   

Required Qualifications
 

Education:

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, AI Planning, Machine Learning, Cognitive Science, Formal methods, or a closely related field.
 

Language Skills:

Professional working proficiency in English, both written and spoken, with the ability to participate in technical discussions, read and implement research papers, document findings, and collaborate effectively in an international research environment (Strong B2/C1).

Core Technical Skills:

• Generative AI / LLMs: solid working knowledge: transformer architecture, prompt engineering, RAG, tool use, fine-tuning (SFT/LoRA);
• Machine Learning: proficient: supervised/unsupervised learning, representation learning, experiment design;
• Neuro-Symbolic Concepts: familiar: exposure to at least one framework (s.t. LTN, DeepProbLog, NSCL, LARK) or symbolic AI coursework; eager to deepen;
• Knowledge Graphs: working knowledge: graph data models, SPARQL or Cypher queries, at least one graph DB (Neo4j or equivalent);
• Software Engineering: strong production Python; unit testing, version control, CI basics
   

Experience:

• Proven ability to independently implement research ideas, build reproducible experiments, and contribute to production-ready AI systems.
• Demonstrated ability to implement models and algorithms from research papers with minimal hand-holding.
• 3–5 years of hands-on experience in ML/AI engineering, research engineering, or a closely related role (internships and research assistant positions count).
• Experience with experiment tracking tools (MLflow, Weights & Biases, or similar) and reproducible research practices.
• Experience working with cloud-native ML infrastructure on AWS, GCP, or Azure.
   

Preferred Qualifications:

• Exposure to formal knowledge representation: OWL 2, RDF/RDFS, description logics, or first-order logic formalisms.
• Familiarity with agentic AI frameworks (tool-use chains, multi-step planning, multi-agent coordination).
• Experience with LLM evaluation and red-teaming for factual accuracy, logical consistency, or safety.
• Contributions to open-source ML/NLP/KR projects or co-authorship on an arXiv pre-print or workshop paper.
• Exposure to formal verification, SAT/SMT solvers, or answer set programming.
• Experience with low-resource or domain-specific fine-tuning of foundation models.
• Familiarity with graph neural networks or heterogeneous graph transformers.
• Experience with AI coding tools such as Claude Code or Cursor.
• Proven ability to deliver production-ready artifacts.
   

Responsibilities:

• Implement, run, and iterate on experiments designed by the Applied Scientist; maintain clean, well-documented, reproducible code.
• Build and maintain RAG pipelines, knowledge graph integrations, and neuro-symbolic prototype systems.
• Design and execute evaluation harnesses—combining automated metrics, symbolic checks, and human evaluation—to measure model quality and catch regressions.
• Keep experiment infrastructure (data pipelines, tracking, compute provisioning) reliable and easy for the whole team to use.
• Read relevant papers and proactively surface implementation options or potential issues before they become blockers.
• Collaborate daily with the Applied Scientist, ML engineers, and content teams to align research outputs with product requirements.
• Contribute to internal documentation, design reviews, and code reviews; grow your skills through mentorship from senior researchers.
• Uphold scientific rigour, reproducibility, and responsible AI practices in every piece of work you ship.
• Working closely with the production owners.

If this sounds like you and your experience aligns with most of the qualifications above, we’d love to hear from you. Please send us your CV.

Thank you for your interest. Each application is carefully reviewed, and candidates whose experience and background best align with the role will be contacted regarding the next steps.

We are looking for a Junior QA Engineer to join our team and help ensure the quality and stability of BookingPal integrations and services.

About the Project 

BookingPal is a travel technology platform that connects property management systems with major vacation rental and hospitality channels such as Airbnb, Booking.com, Vrbo, Expedia, and others. The platform handles reservations, rates, availability, taxes, payments, payouts, and channel synchronization.

Responsibilities
   •    Perform functional testing for web applications, booking flows, reservation processing, rates, taxes, and payout scenarios.
   •    Execute API testing for internal and external integrations.
   •    Validate request and response payloads for channel integrations.
   •    Test background jobs, scheduled tasks, and backend services.
   •    Verify logs, message queues, and service behavior after deployments.
   •    Create and execute test cases, checklists, and regression scenarios.
   •    Identify, document, and track defects with clear reproduction steps.
   •    Analyze requirements and clarify expected behavior with developers, analysts, and product managers.
   •    Participate in release validation and smoke testing.

Required Skills

Functional Testing
   •    Understanding of software testing fundamentals and QA processes.
   •    Experience with functional, regression, smoke, and sanity testing.
   •    Ability to analyze requirements and prepare test scenarios.
   •    Understanding of positive and negative test cases.
   •    Basic knowledge of risk-based testing and prioritization.
   •    Experience with defect tracking systems such as Jira.

API Testing
   •    Understanding of REST APIs and HTTP methods.
   •    Experience with API testing tools such as Postman.
   •    Ability to validate JSON payloads, headers, status codes, and error responses.
   •    Basic knowledge of authentication methods and API integration flows.

Database and Backend Validation
   •    Basic SQL knowledge for checking data in databases.
   •    Understanding of logs and backend service behavior.
   •    Ability to investigate issues using logs and database queries.

Jobs and Services Testing
   •    Experience testing scheduled jobs, background processes, and asynchronous flows.
   •    Understanding of message queues, retries, and service integrations.
   •    Ability to validate data processing between multiple systems.

Nice to Have
   •    Basic knowledge of automation testing.
   •    Experience with tools such as Kibana, Grafana, Kafka.
   •    Understanding of hospitality, travel, or reservation systems.

Personal Skills
   •    Strong attention to detail.
   •    Analytical thinking and problem-solving skills.
   •    Good written communication skills.
   •    Ability to work in a team environment.
   •    Willingness to learn and grow.
   •    Ability to manage multiple tasks and priorities.

W8 Shipping — американсько-українська компанія з власною логістичною інфраструктурою, складами, офісами та командою у США.

Місія компанії W8 Shipping — надавати відмінний сервіс з купівлі та доставки автомобілів з США. Ми хочемо аби якісні автомобілі з США були нормою для українців. Тому працюємо згідно чіткого та вимогливого Американського стандарту.

Шукаємо Frontend Developer (Next.js 15+ / JavaScript / React Native).

Основні вимоги:

Обов'язково досвід роботи з React Native до 4х років.

FrontEnd

• Впевнений досвід роботи з Next.js 15+ (App Router)
  • налаштування маршрутизації
  • робота з SSR / SSG / ISR / PPR (Partial Prerendering)
  • використання middleware та route handlers
  • Server Actions, кешування (fetch, unstable_cache, revalidateTag)
• Глибоке знання React 19 та його екосистеми
  • хуки, контекст, use() API
  • оптимізація рендерингу, мемоізація, Suspense
  • робота зі станом через SWR / Zustand / TanStack Query
• Розуміння Server Components та Client Components у Next.js, вміння обирати правильний підхід
• Просунутий досвід роботи з Tailwind CSS
  • темізація
  • кастомні пресети та плагіни
  • побудова гнучких UI-компонентів на базі утилітарних класів
• Відмінне знання TypeScript
  • дженерики
  • утилітарні типи
  • строга типізація API
• Впевнена робота з API та асинхронними запитами
• Досвід проєктування адаптивних та доступних інтерфейсів
  • ARIA
  • Accessibility аудит через Lighthouse

React Native

• Досвід комерційної розробки на React Native
  • навігація (React Navigation)
  • нативні модулі та bridging
  • робота з Hermes, Proxyman, Reactotron
  • публікація в App Store / Google Play, OTA-оновлення (EAS / CodePush)
  • debugging та профілювання продуктивності на пристроях

JavaScript / Браузер

• Глибоке знання нативного JavaScript (ES2022+)
  • Event Loop, мікротаски/макротаски, Promise internals
  • прототипне успадкування, замикання, this-binding
  • Proxy, Reflect, Symbols, WeakMap / WeakRef
  • модульна система ESM / CJS, tree-shaking
  • робота без фреймворків - впевнено пишете vanilla JS
• Глибоке розуміння роботи браузера
  • рендер-пайплайн (parse → style → layout → paint → composite)
  • Critical Rendering Path, reflow / repaint
  • Web APIs: DOM, MutationObserver, IntersectionObserver, ResizeObserver
  • Storage: IndexedDB, localStorage, Cache API, Service Workers
  • мережа: HTTP/2, HTTP/3, CORS, preload / prefetch / preconnect
  • Web Workers, SharedWorker, MessageChannel
  • DevTools на рівні Performance / Memory / Network профілювання

Буде плюсом:

FrontEnd

• Досвід роботи з Vue.js
• Досвід роботи з Electron.js
• Робота з monorepo та модульною архітектурою (Turborepo / Nx) - особливо із спільним кодом між web і mobile
• Досвід використання Turbopack / Bun для прискорення збірки
• Розуміння оптимізації продуктивності веб-додатків
  • code splitting
  • lazy loading
  • image optimization
  • bundle analyzer

React Native

• Робота з нативними API (геолокація, push-нотифікації, камера, Bluetooth, біометрія)
• Налаштування CI/CD під мобільні платформи: Fastlane

Тестування

• Jest
• React Testing Library
• Playwright (web e2e)
• Detox (mobile e2e)

CI/CD та інфраструктура

• GitHub Actions
• Vercel Deploy Hooks
• CodeMagic

Ми пропонуємо:

• Графік роботи: 5/2 з 9/ до 18/19.
• Формат роботи: віддалений.
• Можливість проявити себе та застосувати навички та знання.
• Конкурентну заробітну платню зі своєчасною виплатою.

• Роботу серед людей з цінностями розбудови чесного та прозорого бізнесу.

   

Якщо ти відчуваєш, що хочеш експериментувати, шукати нестандартні рішення та творити в сильній продуктовій команді — надсилай своє резюме!

VitaUp is building a category-leading supplements brand across Amazon US & EU.

We compete in one of the most complex and competitive categories on Amazon — health & wellness — alongside brands like NOW, Pure Encapsulations, and Nature Made. We already have proven products, strong unit economics, and an established operational foundation. Our next stage is aggressive scaling.

We are looking for a Head of Amazon Growth — a commercially-minded operator, strategist, and leader who understands how to scale Amazon businesses in highly competitive supplement categories.

This role is closer to running a business unit than managing a marketplace account.

You will own Amazon growth end-to-end: category strategy, product launches, profitability, team leadership, operational scalability, and performance execution across US & EU marketplaces.

We are not looking for a coordinator or task manager. We are looking for someone who thinks like an owner, moves fast, understands the numbers behind growth, and knows how to build scalable systems and high-performing teams.

What You Will Own

You will be fully accountable for Amazon business performance:

• revenue growth
• profitability
• launch performance
• operational scalability
• market expansion

• category positioning

   

You will define how products compete, scale, and win within the health & supplements category.

Your responsibilities will include:

• Building and executing Amazon growth strategy across US & EU marketplaces
• Leading end-to-end product launches from market opportunity analysis to post-launch scaling
• Driving performance through data, experimentation, and operational excellence
• Owning P&L decisions and balancing aggressive growth with profitability
• Identifying new growth levers, category opportunities, and expansion potential
• Building scalable processes and operational infrastructure for long-term growth
• Managing forecasting, inventory planning, and supply coordination around growth cycles
• Leading and scaling a cross-functional Amazon team across PPC, design, content, analytics, influencer and affiliate functions
• Creating accountability systems, workflows, and performance standards across the team
• Working directly with founders on strategic growth decisions and long-term scaling initiatives

What We Are Looking For

Proven Amazon Scaling Experience

- You have 5+ years of hands-on Amazon experience with a strong track record of scaling brands or product portfolios.

- You have personally driven products from launch to significant monthly revenue and can clearly explain:

• what you scaled
• how you scaled it
• which levers created growth

• what challenges you solved

   

We are looking for operators, not coordinators.

Supplements / Health Category Expertise

You deeply understand:

• dietary supplements
• wellness products
• customer psychology in health categories
• competitive dynamics

• compliance-sensitive product positioning

   

Experience in supplements, nutraceuticals, wellness, sports nutrition, or adjacent regulated categories is highly preferred.

Strong Commercial & Analytical Thinking

You think like a business owner. You understand:

• profitability
• contribution margin
• TACOS / ACOS
• LTV
• inventory economics
• ranking mechanics
• conversion optimization
• launch velocity

• category strategy

   

You make decisions based on data, not assumptions.

Leadership & Team Management

• You have experience leading and developing cross-functional teams in fast-scaling environments.

• Ideally, you have managed teams of 10+ people across multiple business functions while remaining hands-on and operationally involved.

   

Ownership Mentality

• You are highly autonomous and proactive.
• You do not wait for instructions.
  You identify problems early, make decisions quickly, and create structure where needed.
• You are comfortable operating in high-growth environments where priorities evolve fast.

Compliance & Marketplace Understanding

You understand Amazon policies and the complexity of operating in regulated health categories.

Knowledge of:

• FDA/FTC compliance
• Amazon content policies
• supplement claims

• account health & compliance risks
  is a strong plus.

   

Tools & Platforms 

You are comfortable working with:

• Seller Central
• Brand Analytics
• Helium10
• DataDive
• Sellerboard
• Amazon PPC ecosystems

• analytics and forecasting tools

   

What We Offer

• A key leadership role with direct influence on company growth and expansion strategy
• Full ownership over Amazon US & EU performance
• The opportunity to build and scale a high-growth supplement brand in a highly competitive category
• Direct collaboration with founders and visibility into strategic business decisions
• Freedom to build systems, processes, and scalable growth infrastructure
• Strong existing operational foundation and proven products already performing on the market
• Remote-first work environment with flexibility and high autonomy
• Competitive USD-based compensation with performance-driven upside

If you think like an owner, operate with data, and know how to scale Amazon brands in competitive health categories — we would love to speak with you.

Please send your CV along with examples of brands, listings, or Amazon businesses you have helped scale.

We are looking for a talented PHP Developer with strong Laravel expertise and solid database experience to join our team of professionals and help us build high-quality solutions.

Requirements:

• Minimum 4 years of experience in commercial software development.
• Relational databases (PostgreSQL/MySQL): optimized queries, indexing, transactions, locks, complex SQL queries.
• A strong background in PostgreSQL will be a big plus.
• Experience with NoSQL databases: MongoDB, Redis.
• Understanding of message queue systems (Kafka, RabbitMQ).
• Laravel – confident expertise (level 9/10).
• Experience developing and maintaining REST APIs, working with JSON.
• Proficiency with Git version control.
• Experience with Docker.
• Knowledge of external integrations: APIs, third-party services.
• Strong communication skills and ability to work effectively in a team environment.

We offer:

• A chance to work with a team of professionals who value quality and initiative.
• Flexible schedule and remote work opportunity.
• Competitive compensation based on experience and skills.
• Real opportunities for professional growth and career development.

We are looking for a Senior Data Engineer to join our growing team. In this role, you will help build and scale modern data infrastructure and pipelines that power analytics, business intelligence, product insights, and operational decision-making across our omni-channel commerce platform.
 

Responsibilities

• Design, build, and maintain scalable, reliable data pipelines and infrastructure across cloud environments.
• Develop and manage ETL/ELT workflows to ingest, transform, and load data from multiple sources into data warehouses and data lakes.
• Partner closely with product, engineering, analytics, and business teams to ensure trusted, accessible, and timely data across the organization.
• Optimize data storage, modeling, and query performance to support reporting, analytics, and operational use cases.
• Build and maintain batch and real-time data processing systems using modern tools and frameworks.
• Improve data reliability and quality by implementing monitoring, validation, alerting, and observability practices.
• Support deployment, scalability, and orchestration of data workloads using containerization and workflow automation tools.
• Implement and maintain CI/CD pipelines for data workflows and infrastructure.
• Ensure data governance, privacy, and security standards are upheld across all data systems.
• Contribute to architecture decisions, code reviews, documentation, and best practices for data engineering.
• Stay current with emerging technologies and best practices in data engineering to continuously improve platform capabilities.

Requirements

• Excellent communication skills, including fluent verbal English, with the ability to explain technical concepts to non-technical stakeholders and collaborate effectively across teams.
• Proven experience as a Data Engineer, with strong hands-on experience building and managing production-grade data pipelines.
• Strong proficiency with cloud platforms such as AWS and/or Azure, including modern data services.
• Experience with Python and strong SQL skills for data transformation, automation, and analysis.
• Experience with distributed data processing and streaming technologies such as Apache Spark, Kafka, or similar tools.
• Familiarity with workflow orchestration tools such as Airflow, DBT, or equivalent.
• Experience with data warehousing and lakehouse technologies such as Snowflake, Redshift, BigQuery, Databricks, or similar platforms.
• Solid understanding of ETL/ELT design patterns, data modeling, and data architecture best practices.
• Experience with Docker, Kubernetes, or other containerization and orchestration technologies.
• Familiarity with relational and NoSQL databases such as PostgreSQL, MongoDB, or Cassandra.
• Experience with version control systems such as Git.
• Strong problem-solving skills and a proactive approach to performance optimization, troubleshooting, and continuous improvement.

Preferred Qualifications

• Experience with data governance, security, and privacy best practices in cloud environments.
• Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation.
• Experience supporting analytics, machine learning, or reporting use cases with well-structured data systems.
• Knowledge of BI and visualization tools such as Power BI or Tableau.
• Previous experience working in agile, cross-functional product and engineering teams.
• Experience in retail, e-commerce, omni-channel commerce, or POS platforms is a strong plus.

Why PredictSpring?

• Join a category-leading company transforming the future of retail and omni-channel commerce.
• Work with innovative technology powering seamless online and in-store customer experiences.
• Collaborate with a talented, global team in a flexible remote work environment.
• Enjoy opportunities for professional growth and career development.
• Make a direct impact on products used by some of the world’s most recognized retail brands.
• Be part of a fast-moving, collaborative, and customer-focused culture at the forefront of commerce innovation.

We are looking for an experienced Senior Data Scientist to join our team and help unlock the full value of data across our platform, products, and business operations. In this role, you will apply advanced analytics, machine learning, and statistical modeling to generate actionable insights, improve decision-making, and drive innovation across the organization.

Responsibilities

• Analyze large, complex datasets to uncover trends, patterns, and insights that support strategic business and product decisions.
• Build predictive models to forecast business outcomes, improve operational efficiency, and support decision-making across multiple functions.
• Design and implement feature engineering techniques to improve machine learning model performance and accuracy.
• Partner with cross-functional teams including product, engineering, operations, and business stakeholders to identify opportunities and translate them into scalable data science solutions.
• Clean, preprocess, and structure data from multiple sources to ensure high-quality inputs for analysis and modeling.
• Develop, test, and deploy machine learning models for use cases such as classification, regression, clustering, recommendation systems, and forecasting.
• Evaluate and optimize model performance using appropriate statistical and machine learning metrics.
• Create dashboards, reports, and visualizations that clearly communicate findings and recommendations to technical and non-technical audiences.
• Automate recurring analysis, reporting, and model workflows to improve efficiency and consistency.
• Monitor production models and continuously improve performance, reliability, and business impact over time.
• Stay current with the latest advancements in data science, machine learning, and AI, and apply relevant innovations to PredictSpring’s platform and operations.

Requirements

• Excellent communication skills, including fluent verbal English, with the ability to explain complex concepts to non-technical stakeholders and collaborate effectively across teams.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist, with a strong background in machine learning, statistical analysis, and predictive modeling.
• Strong programming skills in Python preferred, or similar languages such as R, with hands-on experience using libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
• Expertise in building and deploying machine learning models for classification, regression, time-series forecasting, recommendation systems, and related applications.
• Strong experience with data wrangling, feature engineering, and working with structured and unstructured datasets.
• Proficiency in SQL for querying, transforming, and analyzing structured data.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud for model deployment and data workflows.
• Experience with data visualization tools such as Power BI, Tableau, or Python visualization libraries.
• Strong analytical thinking, problem-solving ability, and a passion for applying data science to real-world business challenges.

Preferred Qualifications

• Familiarity with big data and distributed processing tools such as Apache Spark, Hadoop, or Databricks.
• Experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.
• Experience with natural language processing techniques such as text classification, sentiment analysis, or large language model applications.
• Strong foundation in statistical analysis, experimentation, and hypothesis testing.
• Experience collaborating with or supporting data engineering teams in building scalable data pipelines.
• Familiarity with version control tools such as Git.
• Strong business acumen and the ability to align technical solutions with business goals.
• Experience in retail, e-commerce, omni-channel commerce, or POS technology is a strong plus.

Why PredictSpring?

• Join a market-leading company shaping the future of omni-channel retail and modern POS.
• Work on high-impact challenges at the intersection of commerce, data, and customer experience.
• Collaborate with a talented global team in a flexible remote work environment.
• Enjoy opportunities for growth, learning, and professional development.
• Contribute to products used by some of the world’s most recognized retail and lifestyle brands.
• Be part of an innovative, collaborative, and data-driven culture focused on delivering measurable business value.

We are looking for a passionate and experienced Front-End Developer to join a growing product team and help shape analytics dashboards and data-driven interfaces for a compliance-focused platform. The company is US-based, and the product is already in production with a fully established team, including a Tech Lead and CTO.

About the Project

You will work on an existing Angular-based frontend and contribute to React widgets integrated into Power BI. The platform focuses on compliance and analytics, delivering high-load data visualization solutions for enterprise users.

Requirements

• 5+ years of experience in Front-End development
• Strong expertise in Angular
• Solid hands-on experience with React (widgets, integrations, or hybrid applications)
• Experience designing and maintaining APIs
• Understanding of database systems (MongoDB required, ChromaDB is a plus)
• Fluent English (both written and spoken)
• High level of ownership, self-motivation, and problem-solving mindset
• Ability to work in a fast-paced, product-oriented environment

Nice to Have

• Experience with analytics/dashboard platforms
• Experience integrating solutions with Power BI
• Exposure to AI/ML or data-intensive products

Responsibilities

• Develop and maintain frontend features using Angular
• Build and support React-based widgets for Power BI integration
• Collaborate on API design, development, and maintenance for internal and external services
• Work with data-heavy systems and support integrations with MongoDB and ChromaDB
• Improve performance, scalability, and architecture of existing solutions
• Collaborate closely with backend engineers, product team, and technical leadership

What We Offer

• Paid sick leave 
• Paid vacation
• Equipment provided for remote work 

Schedule: Monday – Friday (Daily availability required)

About the Role We are looking for a dedicated and creative Video Editor / AI Content Creator to join our team. You will be responsible for producing high-quality, engaging video content exclusively for our US-based clients. If you have a strong foundation in video editing and are eager to master the latest AI video generation workflows, this role is for you.

Core Responsibilities

• Produce two AI-generated videos per day (approximately 40 seconds per video).
• Edit, pace, and finalize video content using CapCut.

Requirements

• English Proficiency: B1+ (all content and client targeting is strictly in English for the US market).
• Hardware: Must have a reliable laptop and a consistently stable internet connection.
• Editing Experience: Proven previous experience as a video editor with strong proficiency in CapCut.
• AI Tool Familiarity: Hands-on experience writing prompts for tools like ChatGPT or Gemini.
• Portfolio Mandatory: You must attach a link to your previous work. Applications without a portfolio will not be reviewed.

Bonus Points

• Previous experience specifically generating, prompting, and editing AI visual content.

What We Offer

• Training & Onboarding: We provide comprehensive lessons and will teach you our exact workflows for producing AI videos.
• Premium Tools: We provide full access to top-tier AI production platforms (such as Google Veo, Kling, or Higgsfield) required to do the job.
• Stability & Growth: Stable, contract-based employment with clear pathways for salary increases.
• Great Work Environment: Zero bureaucracy—just a streamlined, modern, and creative workflow.
   

How to Apply 
Please submit your resume along with a direct link to your video editing portfolio.

About the role

We are looking for a B2B Lead Researcher / Lead Generation Specialist who can build high-quality lead databases from scratch for our sales team.

The main goal of this role is to research target markets, identify relevant companies and decision-makers, collect and verify contact information, and prepare clean, structured lead lists that can be used by a sales manager for outreach and client communication.

This is not a sales closing role and not a live client communication role. We need a focused, detail-oriented person who can consistently generate relevant B2B leads, understand target industries, and prepare useful data for the next stage of the sales process.

Responsibilities

Research target markets, industries, companies, and potential client segments

Build lead lists from scratch based on provided ICPs

Find relevant decision-makers: CEOs, COOs, CTOs, Heads of Operations, Heads of Transformation, Product Owners, etc.

Collect and verify contact information: LinkedIn profiles, emails, company websites, locations, company size, and relevant notes

Enrich leads with useful business context, such as industry, potential pain points, automation opportunities, and reason for relevance

Work with sources such as LinkedIn, Google, company websites, directories, Clutch, GoodFirms, Upwork, communities, job boards, and other open sources

Maintain clean and structured lead databases in Google Sheets, Airtable, HubSpot, or similar tools

Segment leads by industry, geography, company size, role, and potential fit

Remove duplicates and keep the database accurate

Prepare short lead notes so the sales manager can quickly understand why the company may be relevant

Track daily and weekly lead generation progress

Use AI tools to improve research speed, data enrichment, and lead qualification

Required experience

1+ year of experience in B2B lead generation, lead research, market research, or sales research

Experience building lead databases from scratch

Understanding of B2B sales and ICP-based research

Experience finding decision-makers on LinkedIn and other public sources

Experience with lead enrichment and data verification

Ability to work with Google Sheets, Excel, Airtable, HubSpot, or similar tools

Good attention to detail and data accuracy

Ability to understand business context, not just copy contacts into a spreadsheet

English level: Upper-Intermediate or higher for research and data collection

Nice to have

Experience with IT, SaaS, AI, automation, software development, consulting, or B2B services

Experience researching international B2B markets, especially US, UK, EU, Israel, UAE/Dubai, and Singapore

Experience with tools such as Apollo, LinkedIn Sales Navigator, Hunter, Snov.io, Clay, Crunchbase, BuiltWith, Similarweb, or other lead generation tools

Basic understanding of business operations, workflows, automation, and digital transformation

Experience preparing leads for outbound sales teams

Work format

Remote

Part-time or full-time depending on the candidate

Long-term cooperation preferred

Budget: up to $1000 per month depending on experience and workload

Main success metric

A consistent flow of clean, verified, and relevant B2B leads that match our target ICP and are ready to be used by a sales manager for outreach and client communication.

This role is focused on lead research and database preparation, not on closing deals or conducting sales calls.

About Nestor Intelligence

Nestor Intelligence designs intelligent systems for business operations. We help companies optimize workflows, reduce manual work, improve decision-making, and transform fragmented processes into scalable digital systems powered by automation, analytics, and AI.

Our work is focused on operationally complex industries such as real estate, healthcare, insurance, logistics, and iGaming — where efficiency, control, data visibility, and process reliability directly impact business performance.

This is NOT a traditional developer role.
We’re not looking for someone who writes code all day — we’re looking for someone who leads AI agents that write code for you.

This is not “a regular dev job with an AI assistant”.
This is a role for a person who thinks in systems, prompts, and outcomes, not in endless manual coding.

About us

We are a group of companies with 30+ active projects across travel, fintech, mobile apps, and AI products.
We build products through AI agents, and we’re looking for someone who knows how to work with them effectively.

Tech stack:

• Frontend: Next.js, React Native
• Backend / Infra: Vercel, Firebase, Cloudflare

What you’ll do

• Translate product and technical ideas into clear tasks for AI agents
• Guide AI agents to produce production-ready code
• Review, refine, and improve AI-generated code
• Choose the right models and tools for each task
• Push features all the way to production

In short: you manage an AI-powered dev team that writes code for you.

What we’re looking for

• 1+ year of web development experience
• 3+ months of hands-on work with AI coding tools
• Experience working with AI agents (not just autocomplete)
• Ability to read code and do code reviews
• Solid understanding of frontend, backend, and APIs
• Advanced English

Nice to have

• Built projects mostly or fully using AI
• Know how to optimize AI usage for cost and limits
• Actively follow new models and AI dev tools
• Experience with mobile development

What we offer

• 🏢 Office-based role in Warsaw
• 🤖 Unlimited access to top-tier AI models
• 🎯 Direct collaboration with the CTO — no bureaucracy

How to apply

Please include:

• Examples of projects you built using AI
• Your AI setup: tools you use and how you handle limits and costs
• If you’ve only worked with Cursor — what doesn’t work for you in it?

🚀 If you want to build fast, experiment, and shape how products are created with AI — we’d love to hear from you.

We are a payment intelligence company operating in the high-risk/iGaming space. Through a global network of 2,000+ testers, we help operators understand how their payment flows actually perform across local markets.

Our mission is to bring transparency to global payments and remove friction from real user transactions.

We are looking for an Account Manager to work with international clients, support ongoing communication, and help grow long-term partnerships.

The ideal person knows how to build trust quickly, maintain strong relationships, and naturally identify upsell opportunities.
 

What You’ll Do

• Conduct intro and proposal calls with clients
• Build and maintain client relationships
• Support clients throughout the communication process
• Identify upsell and cross-sell opportunities
• Coordinate with internal teams
• Follow up with leads and ongoing conversations
• Maintain CRM and communication records
• Represent the company professionally on calls and in messaging
 

We’re Looking For Someone Who

• Has strong communication skills
• Feels confident on video calls
• Builds trust naturally
• Is organized and responsive
• Speaks fluent English and Russian
• Has experience in fintech, payments, iGaming, SaaS, affiliate marketing, or B2B client-facing roles
 

Nice to Have

• Experience in high-risk industries
• Account management or customer success background
• Upselling or retention experience
• Experience working with international clients
 

What We Offer

• Fully remote work
• International team and clients
• Fast-moving environment
• Growth opportunities inside the company
• Competitive compensation + bonuses

If this sounds like the kind of environment where you’d thrive, send us your CV and a short intro about yourself. We’d love to connect.

Our client is a fast-growing SaaS company in the hospitality industry. Their platform helps leading hotel brands transform front-desk teams into revenue generators through upselling training, performance analytics, and data-driven insights.

Their flagship platform is used across 2,000+ hotel properties in more than 100 countries, helping hospitality teams improve guest experiences while increasing revenue.

We are looking for an experienced Data Engineer to join a growing data team and play a key role in building and scaling data infrastructure, pipelines, and analytics capabilities.

Requirements:

• 5+ years of commercial experience in Data Engineering.
• 3+ years of hands-on experience with AWS.
• 2+ years of experience with Spark/PySpark.
• Strong Python skills.
• Experience designing and maintaining ETL/ELT pipelines.
• Experience working with large-scale, high-load data environments.
• Solid understanding of data warehousing concepts and best practices.
• Ability to work independently and take ownership of solutions.
• Proactive mindset and strong problem-solving skills.
• English C1.

Nice to Have:

• Experience with modern data orchestration tools.
• Experience with real-time data processing.
• Knowledge of CI/CD practices for data platforms.

• Experience in SaaS product companies.

   

What You'll Do:

• Design, build, and optimize scalable data pipelines.
• Develop and maintain cloud-based data infrastructure on AWS.
• Process and transform large volumes of data using Spark/PySpark.
• Ensure data quality, reliability, and performance.
• Collaborate with product, engineering, and analytics teams.
• Improve existing data architecture and propose new solutions.
• Contribute to the scalability and evolution of the company's data platform.

What we offer:

• Remote job and flexible schedule.
• Full-time position.
• Fast-paced product environment with direct impact on product quality and processes.
• Performance-review.

Waiting for your CV!

Fullstack Engineer (Backend-Focused)

We’re looking for a developer with strong backend and architecture thinking to work on scalable multi-tenant systems, realtime infrastructure, automations, and business-critical platform features.

The role includes both backend and frontend work, but the main focus is backend logic, security, data architecture, and system reliability.

Stack

Backend:
  - Supabase
  - Postgres
  - RLS
  - Realtime
  - Auth
  - Storage
  - pg_cron
  - Edge Functions (Deno + TypeScript)

Frontend
  - React
  - TypeScript
  - Tailwind CSS
  - TanStack Query
  - shadcn/ui

Additional Technologies
  - Stripe
  - Mapbox
  - AI integrations
  - MQTT / IoT
  - Capacitor (mobile)

Responsibilities

- Build and maintain multi-tenant backend systems
- Design secure RLS policies and permission flows
- Develop edge functions and backend business logic
- Work with realtime data and event-driven flows
- Build scheduling, automation and billing systems
- Integrate third-party services and APIs
- Support dashboard and operational frontend features
- Optimize application performance and scalability

Requirements

- Strong TypeScript experience
- Good understanding of Postgres and relational data design
- Experience building backend logic and APIs
- Understanding of authentication, permissions, and security
- Comfortable working across both frontend and backend

Nice to Have

- Stripe billing integrations
- Realtime systems
- AI integrations
- Mapbox or geospatial UI
- MQTT / IoT experience
- Mobile experience with React Native or Capacitor

berko.tech is looking for a backend-focused engineer to design and maintain scalable multi-tenant systems, realtime infrastructure, automations, and core business logic.

The role is primarily backend engineering with a strong focus on data architecture, security, system design, and reliability.

Stack:

Backend Core
  -Node.js
  - Supabase
  - Postgres
  - Row Level Security (RLS)
  - Auth & Permissions
  - Realtime
  - Storage
  - pg_cron
  - Edge Functions (Deno + TypeScript)

Infrastructure & Integrations
  - Stripe (billing systems)
  - AI integrations (tool-calling, workflows)
  - MQTT / IoT systems
  - Mapbox (geospatial data layer, backend side usage)
  - Capacitor backend APIs (mobile support layer)

Responsibilities

- Design and maintain multi-tenant backend architecture
- Implement and maintain RLS-based security models
- Build backend business logic and domain services
- Develop Edge Functions and server-side workflows
- Design scheduling, automation and job processing systems
- Build billing, credits and subscription systems
- Integrate external APIs and third-party services
- Work with realtime event-driven systems
- Optimize database performance and scalability
- Ensure data consistency, isolation and security across tenants

Requirements
- Strong Node.js experience
- Strong TypeScript experience (server-side)
- Strong understanding of Postgres (schema design, indexing, relations)
- Experience building backend systems and APIs
- Understanding of authentication, authorization and security models
- Experience with multi-tenant architectures
- Ability to design scalable backend systems independently

Nice to Have
- Basic understanding of React and React Native
- Experience with Stripe billing systems
- Experience with realtime systems (websockets / event streams)
- AI workflow integration experience (tool-calling, orchestration)
- MQTT / IoT systems experience
- Geospatial / Mapbox backend data handling
- Experience with scheduling systems / job queues / cron orchestration

Focus of the Role

This role is backend-first and centered around:
- system architecture
- database design
- security and access control
- multi-tenant isolation
- realtime and event-driven systems
- automation and scheduling logic
- billing and usage tracking