Jobs at Djinni

Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.

As an ML Engineer, you’ll be provided with all opportunities for development and growth.

Let's work together to build a better future for everyone!
 

Requirements:

• Comfortable with standard ML algorithms and underlying math.
• Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
• AWS Bedrock experience strongly preferred
• Practical experience with solving classification and regression tasks in general, feature engineering.
• Practical experience with ML models in production.
• Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
• Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
• Python expertise, Docker.
• English level - strong Intermediate.
• Excellent communication and problem-solving skills.
   

Will be a plus:

• Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
• Practical experience with deep learning models.
• Experience with taxonomies or ontologies.
• Practical experience with machine learning pipelines to orchestrate complicated workflows.
• Practical experience with Spark/Dask, Great Expectations.
   

Responsibilities:

• Create ML models from scratch or improve existing models. 
• Collaborate with the engineering team, data scientists, and product managers on production models.
• Develop experimentation roadmap. 
• Set up a reproducible experimentation environment and maintain experimentation pipelines.
• Monitor and maintain ML models in production to ensure optimal performance.
• Write clear and comprehensive documentation for ML models, processes, and pipelines.
• Stay updated with the latest developments in ML and AI and propose innovative solutions.

Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.

As an ML Engineer, you’ll be provided with all opportunities for development and growth.

Let's work together to build a better future for everyone!
 

Requirements:

• Comfortable with standard ML algorithms and underlying math.
• Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
• AWS Bedrock experience strongly preferred
• Practical experience with solving classification and regression tasks in general, feature engineering.
• Practical experience with ML models in production.
• Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
• Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
• Python expertise, Docker.
• English level - strong Intermediate.
• Excellent communication and problem-solving skills.
   

Will be a plus:

• Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
• Practical experience with deep learning models.
• Experience with taxonomies or ontologies.
• Practical experience with machine learning pipelines to orchestrate complicated workflows.
• Practical experience with Spark/Dask, Great Expectations.
   

Responsibilities:

• Create ML models from scratch or improve existing models. 
• Collaborate with the engineering team, data scientists, and product managers on production models.
• Develop experimentation roadmap. 
• Set up a reproducible experimentation environment and maintain experimentation pipelines.
• Monitor and maintain ML models in production to ensure optimal performance.
• Write clear and comprehensive documentation for ML models, processes, and pipelines.
• Stay updated with the latest developments in ML and AI and propose innovative solutions.

We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
 

Responsibilities:

• Leadership & Management
  -Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;
  -Drive the roadmap for machine learning projects aligned with business goals;
  -Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery.
• Machine Learning & LLM Expertise
  -Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;
  -Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;
  -Stay ahead of advancements in LLMs and apply emerging technologies;
  -Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML.
• AWS Cloud Expertise
  -Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);
  -Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;
  -Ensure best practices in security, monitoring, and compliance within the cloud infrastructure.
• Technical Execution
  -Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;
  -Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;
  -Debug, troubleshoot, and optimize production ML models for performance.
• Team Development & Communication
  -Conduct regular code reviews and ensure engineering standards are upheld;
  -Facilitate professional growth and learning for the team through continuous feedback and guidance;
  -Communicate progress, challenges, and solutions to stakeholders and senior leadership.
  
  Qualifications:
• Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
• Strong expertise in AWS Cloud Services;
• Strong experience in ML/AI, including at least 2 years in a leadership role;
• Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
• Familiarity with MLOps tools and best practices;
• Excellent problem-solving and decision-making abilities;
• Strong communication skills and the ability to lead cross-functional teams;
• Passion for mentoring and developing engineers.

We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
 

Responsibilities:

• Leadership & Management
  -Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;
  -Drive the roadmap for machine learning projects aligned with business goals;
  -Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery.
• Machine Learning & LLM Expertise
  -Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;
  -Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;
  -Stay ahead of advancements in LLMs and apply emerging technologies;
  -Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML.
• AWS Cloud Expertise
  -Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);
  -Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;
  -Ensure best practices in security, monitoring, and compliance within the cloud infrastructure.
• Technical Execution
  -Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;
  -Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;
  -Debug, troubleshoot, and optimize production ML models for performance.
• Team Development & Communication
  -Conduct regular code reviews and ensure engineering standards are upheld;
  -Facilitate professional growth and learning for the team through continuous feedback and guidance;
  -Communicate progress, challenges, and solutions to stakeholders and senior leadership.
  
  Qualifications:
• Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
• Strong expertise in AWS Cloud Services;
• Strong experience in ML/AI, including at least 2 years in a leadership role;
• Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
• Familiarity with MLOps tools and best practices;
• Excellent problem-solving and decision-making abilities;
• Strong communication skills and the ability to lead cross-functional teams;
• Passion for mentoring and developing engineers.

Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.

As an ML Engineer, you’ll be provided with all opportunities for development and growth.

Let's work together to build a better future for everyone!
 

Requirements:

• Comfortable with standard ML algorithms and underlying math.
• Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
• AWS Bedrock experience strongly preferred
• Practical experience with solving classification and regression tasks in general, feature engineering.
• Practical experience with ML models in production.
• Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
• Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
• Python expertise, Docker.
• English level - strong Intermediate.
• Excellent communication and problem-solving skills.
   

Will be a plus:

• Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
• Practical experience with deep learning models.
• Experience with taxonomies or ontologies.
• Practical experience with machine learning pipelines to orchestrate complicated workflows.
• Practical experience with Spark/Dask, Great Expectations.
   

Responsibilities:

• Create ML models from scratch or improve existing models. 
• Collaborate with the engineering team, data scientists, and product managers on production models.
• Develop experimentation roadmap. 
• Set up a reproducible experimentation environment and maintain experimentation pipelines.
• Monitor and maintain ML models in production to ensure optimal performance.
• Write clear and comprehensive documentation for ML models, processes, and pipelines.
• Stay updated with the latest developments in ML and AI and propose innovative solutions.

LenGreo is a full-cycle digital marketing & development company. We’re currently building a new social-media-driven platform — a creator–fan ecosystem similar in spirit to modern content-sharing networks, with the ability for fans to support creators financially.

We’re looking for a Senior Full-Stack / Tech Lead who can define the technical vision and lead the build of the platform from the ground up.
 

Why this role matters:

We’re designing a high-traffic, content-heavy platform with real-time and media-rich functionality. The system must be architected from day one for scalability, reliability, security, and fast iteration.

As a Senior Full-Stack / Tech Lead, you will make the core architectural and infrastructure decisions that shape how the product is built, launched, and scaled.
 

What you’ll do:

• Define and own the overall technical architecture and system design of the platform.
• Lead technical strategy and architectural decisions across frontend, backend, database, and infrastructure layers.
• Design scalable, secure, and maintainable architecture suitable for high content volume and growing traffic.
• Collaborate closely with Product, Business Analyst, Designer, and Project Manager to translate requirements into technical solutions.
• Lead technical planning for MVP and future scaling stages.
• Select and validate frameworks, tools, and third-party services.
• Prepare realistic development estimations based on approved requirements and designs.
• Own technical delivery within agreed scope and assumptions.
• Establish development standards, architecture patterns, and code quality practices.
• Guide developers, review implementations, and support team growth.
• Design and oversee CI/CD pipelines and deployment workflows.
• Lead infrastructure and environment setup for a project starting from scratch.
   

Core technology stack:

• Frontend: Next.js
• Backend: NestJS (Node.js, TypeScript)
• Database: PostgreSQL
• Storage: S3-compatible object storage"
   

Required expertise:

• Strong production experience with Next.js frontend applications.
• Strong backend architecture experience with NestJS and Node.js.
• Proven experience designing and launching complex platforms from scratch.
• Experience architecting systems for content-heavy and high-traffic applications.
• Strong experience with PostgreSQL schema and performance design.
• Experience integrating S3 or S3-compatible storage for media-heavy platforms.
• Experience designing API architecture and service boundaries.
• Experience setting up CI/CD pipelines, automated builds, and deployment processes.
• Experience with cloud infrastructure and environment setup.
• Proven experience making architecture decisions balancing MVP speed and long-term scalability.
• Experience integrating multiple third-party services and providers.
• Solid experience with technical estimations and delivery ownership.
• Strong product and systems thinking.
   

Nice to have:

• Experience with high-load distributed systems.
• Experience with media processing and delivery pipelines.
• Experience with CDNs and caching strategies.
• Experience with real-time systems (chat, notifications, streaming).
• Experience with multi-provider payment integrations.
• Experience with user-generated content platforms.
   

Engagement format

• Full-time, remote
• Long-term collaboration anticipated.|
   

We look forward to hearing from you!

Company Description

Bitspire Team is where digital vision meets technical mastery. We build the software that drives tomorrow's industry leaders.

Role Description
This is a full-time hybrid role for a Product Owner based in Warsaw. In this role, you will be responsible for managing the product lifecycle, gathering and analyzing business requirements, and working closely with cross-functional teams to ensure product development aligns with business goals. Additional responsibilities include collaborating with stakeholders to prioritize features, providing clear communication to the development team, and assisting in the creation and refinement of product strategies. While the position is based in Warsaw, there is flexibility for some work-from-home arrangements.

Qualifications

• Strong Analytical Skills and Business Analysis expertise to interpret complex data and drive informed decisions
• Experience in Product Management, including overseeing product lifecycles and collaborating with cross-functional teams
• Exceptional Communication skills for effectively interacting with stakeholders, team members, and clients
• Basic understanding of Software Development and its principles to ensure alignment with technical teams
• Ability to work both independently and in collaboration with teams
• Experience in Agile methodologies is a plus
  Familiarity with tools like JIRA, Confluence, or similar project management tools is advantageous
• Bachelor's degree in a relevant field or equivalent professional experience

We are looking for a Senior Full-stack (React and Next.js) developer with 4+ years of experience in Web programming for a successful web project in the health industry in the USA.

REQUIREMENTS:

MUST HAVE

• 4+ years of experience in developing complex Web solutions
• Extensive general knowledge of JavaScript (Vanilla.js, React.js, Typescript, Next.js, Node.js )
• English level — at least Intermediate Strong

WILL BE A PLUS

• Experience with Three.js and 3D rendering in the browser
• Familiarity with Pyodide or Python running in web environments
• Knowledge of GCP services like Cloud Functions, Firestore, or App Engine
• Previous Data Engineering experience might be a plus

RESPONSIBILITIES:

• Develop and maintain web applications using JavaScript/TypeScript (Node.js, React.js / Next.js).
• Design, implement, and maintain scalable APIs and backend services.
• Integrate and optimize search with Algolia, real-time data fetching with SWR, and advanced 3D rendering with Three.js.
• Leverage Pyodide to run Python in-browser where needed.
• Work with GCP services for deployment, storage, and scalability.
• Write clean, maintainable, and well-documented code.
• Participate in agile ceremonies, code reviews, and continuous improvement efforts.
• Ensure performance, scalability, and accessibility best practices are followed.

ABOUT PROJECT

Our client is a software company in the USA.

PRODUCT

The project focuses on reconstructing complex neuronal structures by analyzing ultra-high-resolution microscopy data, capturing intricate details of brain cells and their connections. Using advanced 3D deep learning architectures, the system processes petabyte-scale volumetric datasets to uncover biological patterns at an unprecedented scale. This platform is transforming how researchers explore the brain, accelerating scientific discovery and enabling a deeper understanding of neural systems across the globe. Its backbone combines powerful computer vision pipelines with scalable infrastructure built for performance and precision.

Interview Stages

1-st stage — Call with Recruiter (30 minutes)
2-nd stage — Interview with our Engineer and Recruiter (1 hour)
3-rd stage — Client interview

About the role

Our company has already established deep technical expertise, stable internal processes, and a unique service offering that has proven its value to well-known international clients over 15 years of operations in the global market. We are now looking to bring on board a strong sales leader who can amplify our existing potential and elevate our commercial function to the next level.

This role entails a high degree of autonomy and influence over the company’s strategic development. The core objective is to scale growth, initiate timely strategic changes, identify growth opportunities, and build a stable, predictable, and result-oriented sales system.

About the company
GroupBWT is a consulting firm specializing in data management, data scraping, and the construction of customized data platforms. Our focus is on technically complex solutions, including large-scale data scraping from hundreds of websites, integration with ERP systems, overcoming anti-bot protections, and delivering high-quality data insights tailored to each client’s unique business needs. Unlike off-the-shelf software, our solutions are customized, sophisticated, and strategically designed to maximize value from data.

Key Responsibilities:

• Develop and execute the company’s commercial growth strategy
• Transform and evolve the GTM strategy
• Build a predictable and sustainable sales model that ensures a steady stream of qualified leads and successful deal closures
• Manage the entire sales function, including team leadership, outreach campaigns, presales organization, and partnership development
• Monitor trends, test and implement new AI-driven tools to improve efficiency and transparency

• Participate in key presales and strategic negotiations

   

Requirements:

• 7+ years of experience in B2B sales in the IT sector (outsourcing, custom engineering solutions)
• 2+ years of successful leadership experience in roles such as VP of Sales, CBDO, Head of Growth, or Strategy Head of Sales, with direct influence on strategy and revenue
• Hands-on experience in building or scaling a sales system for technically complex and custom solutions
• Strong understanding of the full B2B sales cycle: from defining the ICP and crafting offers to contract signing
• Successful track record in working with enterprise clients and negotiating at the C-level
• Team leadership skills: hiring, development, performance management, and motivation
• Ability to structure processes and build systems based on metrics and business logic

• Result-driven, mature, and highly independent professional

   

Will be a plus: 

• Experience in the Web Scraping, data parsing, or data engineering fields.
• Experience in companies with over 500 employees.
• Readiness and ability to participate in international business trips.

What We Offer:

• Influence and strategic role - opportunity to shape the company’s commercial strategy and directly impact its growth and international expansion
• We are open to a flexible compensation model that includes a fixed base and a performance-based bonus
• Collaboration with technical experts - You’ll work alongside highly skilled technical specialists who will provide the necessary support to achieve your goals
• Cooperation with a company trusted by renowned clients - work in a company with extensive experience, a diverse portfolio of cases, and a client base that includes well-known and respected brands
• Corporate discounts and partner benefits – special offers and discounts for employees and their relatives at one of the largest gym networks in Ukraine, as well as from other partner companies
• Support for the Armed Forces of Ukraine – the company contributes to donations and initiatives supporting the Ukrainian Armed Forces
• 21 paid vacation calendar days, 15 paid sick leaves and additional days off – enjoy a well-balanced work-life schedule with paid vacation, sick leave, and extra days off when needed

Наш клієнт, Jugabet — бренд і ігрова платформа, доступна для гравців у Латинській Америці. Завдяки сильному регіональному фокусу та локалізованим стратегіям, Jugabet швидко стає ключовим гравцем на ринку.
 

Ідеально для тих, хто прагне:
 

• Відповідати за продукт у performance-орієнтованому середовищі;
• Керувати продуктовими та маркетинговими воронками і системно масштабувати зростання;
• Приймати рішення на основі даних і метрик, а не припущень;
• Ініціювати та контролювати A/B-тестування і продуктові експерименти;
• Запускати фічі, що безпосередньо впливають на конверсію, утримання та дохід;
• Працювати напряму з CRM, маркетингом, контентом та гейміфікацією;
• Формувати продуктові пріоритети та відповідати за бізнес-результат.
   

Досвід, який стане твоєю перевагою:
 

• 3+ роки досвід роботи з B2C цифровими продуктами;
• Впевнена робота з ключовими продуктовими та growth-метриками (retention, conversion, DAU/MAU, LTV, ARPU);
• Реальний досвід A/B-тестування та інтерпретації результатів;
• Чітке розуміння end-to-end воронки користувача;
• Досвід ролі з ownership і відповідальністю за результат;
• Англійська мова на рівні Upper-Intermediate або вище.
   

Ми цінуємо:

• Здатність приймати рішення і відповідати за них;
• Аналітичне, системне мислення;
• Проактивність і готовність ініціювати зміни;
• Фокус на результат, а не на процес;
• Комфорт у динамічному, performance-driven середовищі.
   

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, Jugabet, is a brand and gaming platform accessible to players in Latin America. With a strong regional focus and localized strategies, Jugabet is quickly becoming a key player in the market.
 

Perfect for those who aim to:

• Own end-to-end product ownership of a performance-driven digital brand;
• Work hands-on with product and marketing funnels, identifying growth opportunities;
• Analyze and optimize conversion, retention, and monetization funnels;
• Initiate, run, and analyze A/B tests to validate product and growth hypotheses;
• Make data-driven product decisions with a strong focus on business impact;
• Coordinate cross-functionally with CRM, Marketing, Content, and Gamification teams;
• Initiate and launch new features and continuous product improvements;
• Define product priorities and contribute to roadmap and backlog management.
   

Experience you’ll need to bring:

• Have 3+ years of experience working with B2C iGaming products in performance-oriented environments;
• Demonstrate strong analytical skills and hands-on work with product and growth metrics (retention, conversion, DAU/MAU, LTV, ARPU);
• Have practical experience with A/B testing and experimentation;
• Understand end-to-end user funnels, including acquisition, engagement, and monetization;
• Have experience in a product ownership role with responsibility for measurable outcomes;
• Communicate confidently in English (Upper-Intermediate or higher);
• Have experience working with high-traffic platforms, scaling products, or launching new markets or brands.
   

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

• Strong ownership mindset and accountability for results;
• An analytical and structured way of thinking;
• Proactive attitude and ability to initiate improvements;
• Comfort working in a fast-paced, performance-driven environment.
   

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 a U.S.-based fintech startup operating in the investment and financial services space. Our distributed teams work across Poland, the United States, and Ireland, collaborating on technology-driven solutions related to stocks and investments.

Security, compliance, and the responsible handling of sensitive financial data are central to how we operate, as we build scalable products in a regulated environment.

Responsibilities

Design and develop full-stack applications using Java + React.
- Build REST APIs following microservice standards.
- Implement user interfaces using Nexus design system.
- Refactor legacy components for modernization and performance. - Collaborate with architects to define scalable solutions.

- Participate in code reviews, testing, and sprint ceremonies.
- Optimize application reliability, performance, and maintainability. 

Skills
- Strong in Java, Spring Boot, REST API development. (4+ years of commercial experience)
- Expertise in React, JavaScript/TypeScript, UI state management.
- Experience with Nexus design system or similar component systems. - Understanding of cloud-native development and containerization.
- Knowledge of CI/CD, Git workflows, automated testing.
- Familiarity with security best practices for APIs.
- Good understanding of system integration patterns.

We are a U.S.-based fintech startup operating in the investment and financial services space. Our distributed teams work across Poland, the United States, and Ireland, collaborating on technology-driven solutions related to stocks and investments.

Security, compliance, and the responsible handling of sensitive financial data are central to how we operate, as we build scalable products in a regulated environment.

Responsibilities

- Develop high-quality Java microservices using Spring Boot.
- Build Kafka producers, consumers, and stream-processing apps.
- Design event-driven architectures with reliability and performance.
- Implement service resiliency patterns such as retries and circuit breakers. - Collaborate on distributed system design and integration.

• Ensure logging, tracing, and monitoring of backend services.

• Support performance tuning and root cause analysis.

   

• Skills
  - Strong in Java, Spring Boot, microservices patterns.
  - Hands-on Kafka development—streams, partitions, consumer groups. - Knowledge of distributed systems architecture.
  - Familiarity with Docker, cloud-native packaging.
  - Experience in REST APIs, schema evolution, and contracts.
  - Understanding of observability (logs, metrics, traces).
  - Good debugging and performance optimization skills.

We are seeking a proactive AI Integrator/ Automation Specialist to analyze client business processes, identify automation opportunities, and implement AI-driven solutions. This role involves working closely with stakeholders to design optimized workflows and deploy AI agents using platforms like Zapier, Make.com, and n8n. You’ll integrate tools such as CRM, ERP, Notion, Slack, Gmail, Hubspot, and ensure smooth rollouts through testing and continuous improvement.

You will be working on our internal product, focused on process optimization and automation for clients.

REQUIREMENTS

We’re looking for AI Integrator/ Automation Specialist who has:

• Hands-on experience with AI tools and no-code/low-code automation platforms (Zapier, n8n or Make);
   
• Strong understanding of APIs, webhooks, and workflow logic;
   
• Familiarity with basic programming/scripting Python or Node.js(a plus);
   
• Knowledge of AI/ML concepts such as NLP, LLMs, prompt engineering;
   
• Analytical thinking and the ability to break down complex problems into scalable automation flows;
   
• Excellent communication, presentation, and teamwork skills.

RESPONSIBILITIES

Objective:
Analyze existing business processes, identify opportunities for improvement through automation tools, and implement AI agents to streamline operations — working directly with client stakeholders to ensure alignment and success.

We're looking for AI Integrator/ Automation Specialist who will:

• Analyze existing customer business process in tight cooperation with stakeholder, define "state-to-be" -= optimised BP, implement improvements via automation and agents to identify automation opportunities;
• Design and deploy AI agents using platforms such as Zapier, Make.com, n8n, etc;
• Integrate AI solutions with customer tools (e.g., CRM, ERP, Slack, Notion, Gmail, Hubspot);
• Test, monitor, and fine-tune AI agents to ensure reliability and performance;
• Collaborate closely with product, development, and client teams, customer stakeholders, process owners and decision makers to ensure smooth rollouts.
   

ABOUT PROJECT

Description

Easyflow is here to boost your business with AI agents that automate routine tasks and free up your team for high-impact, strategic work.

Choose the AI solution that fits your needs – data processing, decision making, performance reporting, and task execution. Of course, these are not all the possibilities!

Nothing from scratch! Easyflow AI agents integrate smoothly into your existing workflows, handling the repetitive tasks so your employees can focus on business growth.

Project Team

8 people

WHAT WILL YOU GET WITH KINDGEEK

We want you to thrive and feel supported

• Professional growth: at Kindgeek, we want our employees to grow and achieve ambitious professional goals. We support professional development with training and certification refunds and provide regular feedback and technical reviews.
• Benefits package: Kindgeek offers all team members competitive compensation and a benefits package that includes 18 working days of fully paid vacation, 10 compensated by 50% sick leaves without a note from the doctor, and an opportunity to take study leaves. Depending on how long you stay in the company, you can receive different health insurance packages from our partners.
• Personal growth: as a part of our team, you will have access to corporate English courses with a 50% reimbursement, take advantage of our offline library and access a large selection of corporate training and classes. Also, every employee can request any internal or external training or certification if it applies to his or her work responsibilities.
• Geek community: at Kindgeek, we value community – even in the full-scale invasion times, we take every opportunity to stick together. Our geeks organise various online and offline clubs – from stretching and skiing to English. We volunteer together and support each other.
• Flexibility: Kindgeek offers a hybrid working model. Team members can work remotely or from the office or Kindgeek London Hub – an innovative cafe-style co-working in Lviv (it's pet-friendly!).

We encourage you to apply

At Kindgeek, we encourage everyone to apply – regardless of nationality, race, gender, marital status, disability, sexual identity, or religion. We are growing into an inclusive, equal-opportunity company where only professionalism, competence, and ideas matter. We are committed to supporting mobilised employees and veterans joining Kindgeek and facilitating their career development. We aim to bring equal opportunities to all team members and candidates – especially those underrepresented in technological companies.

We are a U.S.-based fintech startup operating in the investment and financial services space. Our distributed teams work across Poland, the United States, and Ireland, collaborating on technology-driven solutions related to stocks and investments.

Security, compliance, and the responsible handling of sensitive financial data are central to how we operate, as we build scalable products in a regulated environment.

Responsibilities

DevOps Engineer – 1 Position 10+ yrs exp | 2.5-3 LPM

- Design and maintain CI/CD pipelines for backend, data, and UI apps. - Manage Kubernetes workloads and deployments.
- Implement monitoring, alerting, and observability dashboards.
- Automate Infrastructure provisioning using IaC.

- Support release operations and environment stability.

- Troubleshoot deployment and performance issues.

- Collaborate with development and SRE teams.

Skills

- Experience with CI/CD tools (GitHub Actions, ADO).
- Strong Kubernetes and containerization knowledge.
- Familiarity with Helm, YAML, and deployment patterns. - Understanding of observability stacks (logging, metrics). - Knowledge of Terraform/Bicep or other IaC tooling.
- Basic networking and security fundamentals.
- Good scripting skills (Shell/Python).

We are a U.S.-based fintech startup operating in the investment and financial services space. Our distributed teams work across Poland, the United States, and Ireland, collaborating on technology-driven solutions related to stocks and investments.

Security, compliance, and the responsible handling of sensitive financial data are central to how we operate, as we build scalable products in a regulated environment.

Responsibilities

- Modernize legacy systems via redesign and refactoring.
- Develop UI using React + Nexus design system.
- Build APIs with proper security and lifecycle governance. - Design reusable component libraries and UI frameworks. - Collaborate with UX, product, and architecture teams. - Optimize frontend and backend performance.

- Support public API documentation and governance.

Skills

- Strong Java + Spring Boot backend capability.
- Expertise in React, TypeScript, Nexus UI components.
- Experience with modernization and migration projects.
- Understanding of microservice and API design.
- Familiarity with CI/CD, linting, testing frameworks.
- Knowledge of frontend security and performance patterns. - Good collaboration across UX and backend teams.