Jobs AI

Senior Full Stack Engineer — Fintech, Node.js, TypeScript, AI/LLM

Our client is an international fintech company that is actively scaling and developing its own payment products for the global market.

The company builds technology solutions for payments, financial operations, integrations with banks and payment providers, internal automation, and product infrastructure. The team combines product development, fintech R&D, payment operations, engineering, and modern AI-native approaches to building software.

We are looking for a strong Senior Full Stack Engineer who can work across backend and frontend, design scalable architecture, build reliable integrations, make independent technical decisions, and actively use AI tools in the development process.

This is not just a classic full stack role. We are looking for an engineer who can contribute to fintech product development, payment-related systems, internal automation, AI/LLM integrations, and scalable web applications.

Position

Role: Senior Full Stack Engineer
Focus: Node.js, TypeScript, Backend Architecture, Frontend Development, Fintech Integrations, AI/LLM
Company type: International fintech company
Product area: Payments, financial services, internal tools, automation, integrations
Work format: Remote / flexible schedule
Seniority: Senior / strong Senior

Mission of the Role

The main mission of this role is to help the company build and evolve reliable fintech products, scalable backend services, user-facing web applications, integrations with external systems, and AI-enabled internal tools.

We are looking for a developer who can not only implement features, but also understand product and business goals, evaluate technical trade-offs, design clean architecture, support production-ready systems, and use AI tools to improve development speed, quality, and automation.

Goals for the First 6 Months

• Understand the company’s fintech product architecture, business logic, payment flows, integrations, and development workflow.
• Take ownership of key backend and frontend areas of the product.
• Contribute to the design and development of scalable REST APIs and integrations with external services.
• Improve the quality, maintainability, and reliability of the codebase through refactoring, testing, code review, and technical documentation.
• Participate in designing authentication, authorization, user access, and secure data flow mechanisms.
• Actively use AI tools such as Claude Code, Codex, Cursor, GitHub Copilot, or similar tools to increase engineering productivity.
• Support the first AI/LLM-related integrations or internal automation initiatives.
• Identify technical bottlenecks and propose improvements in performance, security, architecture, developer experience, and scalability.

Goals for 6–12 Months

• Become one of the key technical contributors in the engineering team.
• Own complex fintech features from architecture and implementation to testing and production support.
• Help standardize engineering best practices for backend, frontend, testing, API design, integrations, and AI-assisted development.
• Contribute to AI-enabled product features, internal engineering tools, or automation workflows.
• Improve the reliability, observability, performance, and security of production applications.
• Support the development of integrations with banks, payment providers, financial services, internal systems, or third-party APIs.
• Mentor less experienced engineers and help raise the overall engineering level of the team.
• Participate in long-term technical planning and product development strategy.

Key Responsibilities

• Develop and maintain production-ready full stack web applications.
• Design, build, and support scalable backend services using Node.js and TypeScript.
• Design and implement REST APIs with proper versioning, error handling, backward compatibility, and clear API contracts.
• Develop frontend features using modern JavaScript / TypeScript and frameworks such as React, Next.js, Vue.js, or similar.
• Work with forms, validation, user input, DOM APIs, state management, and frontend performance.
• Design and implement integrations with third-party services, financial systems, payment-related APIs, and internal tools.
• Work with SQL databases, including schema design, complex queries, indexes, transactions, and query optimization.
• Implement secure authentication and authorization flows, including JWT, access / refresh tokens, OAuth 2.0, and role-based access control.
• Write and maintain unit, integration, and e2e tests.
• Participate in architecture discussions and technical decision-making.
• Conduct code reviews and help maintain a high-quality codebase.
• Analyze implementation complexity, technical risks, and possible trade-offs.
• Work closely with product managers, project managers, QA engineers, R&D specialists, payment operations, and other developers.
• Use AI tools to speed up development, improve code quality, generate technical ideas, support documentation, and automate routine engineering tasks.
• Integrate LLM APIs and AI-powered workflows into products or internal tools where relevant.
• Participate in improving CI/CD, Docker-based environments, monitoring, logging, and production diagnostics.

Required Skills and Experience

• 5+ years of commercial experience as a Full Stack Developer / Full Stack Engineer.
• Strong experience with JavaScript and TypeScript.
• Deep knowledge of Node.js and experience building production-ready backend applications.
• Strong understanding of backend architecture and scalable application design.
• Experience with Express.js, NestJS, or similar Node.js backend frameworks.
• Strong experience with at least one modern frontend framework: React, Next.js, Vue.js, or similar.
• Strong understanding of HTML5, DOM API, forms, validation, and user input handling.
• Good understanding of frontend performance and web application life cycle.
• Experience designing and developing REST APIs.
• Understanding of API design, versioning, error handling, backward compatibility, and integration patterns.
• Practical experience integrating third-party services and external APIs.
• Good knowledge of SQL: database schema design, complex queries, indexes, transactions, and query optimization.
• Strong understanding of SOLID principles, separation of concerns, and common architecture patterns.
• Experience with authentication and authorization mechanisms:
  • JWT;
  • access / refresh tokens;
  • OAuth 2.0;
  • role-based access control.
• Experience writing and maintaining unit, integration, and e2e tests.
• Understanding of application testing strategy.
• Understanding of Web Security principles, including OWASP Top 10.
• Experience with Docker and understanding of containerization.
• Basic understanding of CI/CD processes.
• Ability to make independent technical decisions and explain architectural or technology choices.
• Experience with code review and maintaining code quality.
• Good written and spoken English communication skills.

AI Engineering Requirements

• Practical experience using AI tools for software development, such as Claude Code, Codex, Cursor, GitHub Copilot, or similar.
• Good prompt engineering skills and understanding of how to work effectively with LLMs.
• Practical experience integrating LLM APIs into applications.
• Understanding of MCP — Model Context Protocol — and possible scenarios of its use.
• Understanding of approaches to building AI agents, using tools, and integrating LLMs with external systems.
• Interest in AI-assisted development, automation, internal tools, and AI-enabled product features.
• Ability to use AI tools not only for code generation, but also for debugging, documentation, testing, refactoring, architecture research, and productivity improvement.

Fintech Experience Will Be a Strong Advantage

• Experience working in fintech, payments, banking, crypto, e-commerce, financial services, or product companies.
• Understanding of payment flows, transaction processing, payment providers, banking integrations, reconciliation, or financial operations.
• Experience building secure systems that process sensitive user, financial, or operational data.
• Experience integrating multiple external services within one product.
• Understanding of compliance-sensitive environments and security-first engineering culture.
• Experience working with internal tools for operations, finance, payments, risk, support, or analytics.

Will Be a Plus

• Experience with React, Next.js, Vue.js, Redux, or similar frontend technologies.
• Experience developing or integrating MCP servers / clients.
• Experience building production-ready RAG systems.
• Experience with queues, background jobs, and asynchronous data processing.
• Understanding of caching and experience with Redis or similar solutions.
• Experience with monitoring, logging, and production diagnostics.
• Basic or intermediate DevOps knowledge.
• Practical experience with Docker / Docker Compose.
• Experience setting up CI/CD pipelines using GitHub Actions, GitLab CI, or similar tools.
• Experience with Linux, basic server administration, and troubleshooting.
• Understanding of Nginx / reverse proxy, DNS, SSL/TLS, and HTTPS.
• Experience with cloud infrastructure such as AWS, GCP, Azure, or similar.
• Basic understanding of Kubernetes.
• Experience with Python, Java, .NET, PHP, Golang, or other backend technologies.
• Experience mentoring less experienced engineers.

What We Offer

• Long-term cooperation with an international fintech company.
• Opportunity to work on own fintech products and payment-related solutions.
• Fully remote work format and flexible schedule.
• Large-scale international product development.
• Direct impact on product architecture, engineering quality, automation, and internal tools.
• Opportunity to work with modern AI tools, LLM integrations, and AI-assisted development workflows.
• Collaboration with product, engineering, R&D, payment operations, and business teams.
• Competitive compensation based on experience and technical level.
• Strong opportunities for professional growth.
• A team where ownership, strong technical thinking, initiative, and business-oriented engineering are valued.

Who This Role Is For

This role is a strong fit for a Senior Full Stack Engineer who is confident in backend and frontend development, understands architecture, security, testing, databases, and integrations, and wants to grow in fintech, AI Engineering, LLM APIs, MCP, AI agents, and modern AI-assisted development workflows.

We are looking for someone who can take ownership, think independently, communicate clearly, and help build reliable, scalable, secure, and maintainable fintech products.

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

This is a hyper-scale fintech platform trusted by over 40 million users worldwide, offering access to multi-asset trading – including stocks, indices, currencies, and digital assets.

The product operates as a regulated, data-intensive financial ecosystem, processing massive volumes of transactions and real-time customer interactions daily. It’s well-funded, profitable, and known for pushing innovation in AI, automation, and data governance across its operations. Advertising presence is strong (especially in the UK), but behind the scenes is a serious engineering culture solving hard, real-world problems at scale.

About the Role:

We are looking for an Applied AI Engineer (Squad Lead) to join a fast-paced, AI-first environment where AI is already a core part of how the company operates. This is not a role where you’ll be adding an AI feature to an existing product or experimenting with isolated prototypes. You’ll take real business challenges, work directly with stakeholders to understand what needs to change, and turn those problems into production-grade AI agents and applications — end to end, from idea and POC to deployment and continuous improvement.

This is a deeply hands-on role with significant autonomy and ownership. You’ll work with modern GenAI and agentic technologies, use AI-native development workflows daily, and see the impact of your solutions quickly. As the squad grows, you’ll also guide other engineers while remaining hands-on.

Key Responsibilities:

• Design, build, and deploy AI-powered agents and applications from concept through production.
• Develop and maintain AI pipelines for data ingestion, embeddings, retrieval, and LLM orchestration.
• Write high-quality backend and frontend code to embed AI into user-facing tools and internal platforms.
• Build APIs and integrations with internal systems (CRM, databases, third-party services) for seamless automation and data flow.
• Work with structured, unstructured, and vectorized data to support intelligent workflows and decision-making.
• Continuously monitor, evaluate, and iterate to improve system performance, reliability, and cost efficiency.
• Design and implement scalable, secure, observable, cloud-based solutions.
• Own production systems, including debugging, enhancements, and ongoing optimization.
• Collaborate closely with product and business stakeholders to translate requirements into high-impact solutions.

Required Competence and Skills:

• 6+ years of software engineering experience (backend or full-stack).
• Proven daily use of AI-native development workflows (e.g., Cursor, Claude Code) for production systems.
• Hands-on experience building production AI agents, including RAG, multi-agent orchestration, tool-calling, structured outputs/validation, memory, and workflow management.
• Track record of deploying LLM-powered systems in production.
• Strong backend and modern frontend development skills for complex workflows.
• Experience with cloud services (Azure, AWS, or GCP) and designing scalable architectures.
• Familiarity with vector databases and embedding pipelines.
• Deep understanding of system design, scalability, observability, and security best practices.
• Experience leading small development teams or owning a technical domain.
• Excellent communication, stakeholder management, and problem-solving skills.
• Fluent written and verbal English.

Nice to Have:

• Experience with GenAI frameworks such as LangChain, LangGraph, LangSmith, Semantic Kernel, or equivalent.
• Experience building AI systems in regulated or compliance-driven environments.
• Background working with internal teams and platforms (e.g., customer service, retention, operations, compliance).
• Strong understanding of business process automation and operational intelligence.
• Familiarity with event-driven architectures and distributed systems.
• Experience implementing AI evaluation frameworks and automated testing for LLM systems.

Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

We are looking for a Head of Partnerships to build and lead Bankstore's banking partnership strategy. This role is for someone who knows how to source, negotiate, and manage relationships with banks and financial institutions, and who can turn those relationships into real product and revenue outcomes.

Details

• Project: Bankstore
• Schedule: Full-time
• Location: Remote
• English: Fluent 

About the role

The Head of Partnerships will own Bankstore's relationships with banking and financial institution partners end to end — from identifying and negotiating new partnerships to managing integrations and ongoing relationship health. You will set the partnership strategy, build the team as it scales, and work closely with product and sales to make sure partnerships translate into tangible business value.

You have

• A strong track record building and leading banking or financial institution partnerships
• Experience negotiating and closing commercial agreements with banks or financial institutions
• Solid understanding of banking partnership structures, integrations, and regulatory considerations
• Experience building and leading a partnerships function or team
• Strong negotiation, relationship-management, and stakeholder-management skills

What to do

• Define and execute Bankstore's banking partnership strategy
• Identify, approach, and negotiate agreements with banks and financial institutions
• Own the partnership lifecycle, from first contact through to live, integrated partnerships
• Build and lead the partnerships team as it scales
• Collaborate with product and sales to translate partnerships into business outcomes
• Monitor and report on partnership performance and pipeline

We’re expanding our automation team—and we’re looking for someone who loves building AI agents, not just “plugging ChatGPT into everything.” If you’re interested in more than just writing prompts—if you want to create systems that make their own decisions, handle errors, and run in production without constant supervision—read on 👇

Who We Are

Our team automates routine business processes using AI agents: alerts, mailings, reminders, and other tasks that used to be handled manually. We currently have three specialists on the team, and we’re growing. We work on a wide range of projects—from small integrations between departments to large-scale initiatives with a real impact on the business.

What we expect from you during our collaboration: 

• Development and implementation of multi-agent systems
• Build and maintain custom integrations via APIs
• Set up and optimize data workflows: webhooks, JSON/XML parsing, Salesforce automation, Google Sheets, and Slack, TG notifications.
• Develop effective AI prompts to integrate large language models (LLMs) into business operations
• Development of Retrieval-Augmented Generation (RAG) models
• Monitor automation processes, resolve incidents promptly, and drive ongoing improvements
• Research of new tools, libraries and practices in the field of AI
  
   

This role is a great fit if you: 

• 1-3 years of experience with no-code/low-code automation, n8n as primary tool (Zapier/Make — a plus)
• Practical experience building at least one agent-based workflow (not a linear automation)
• Practical experience with REST APIs, OAuth2, webhooks
• Python or JavaScript — ability to write custom scripts/nodes for integrations
• Relational databases (SQL) — storing state, logs, scraping results
• Experience integrating at least one LLM provider (OpenAI/Claude/Ollama) into a production workflow
• Prompt engineering — writing and optimizing prompts
  
  The following would be a plus: 
• Experience with web scraping (Playwright, Scrapy, Selenium, or similar)
• Familiarity with agent frameworks (LangChain, LangGraph)
• Understanding of how queues and schedulers work (cron, SQS, or similar)
• Experience in the iGambling industry
• Basic knowledge of DevOps: CI/CD, monitoring
  
  What we offer:
• 24 days of vacation + days off
• Remote work — choose any corner of the world to “be with us”
• Support for your learning and professional development through external courses and educational activities (conferences, webinars, etc.)
• Benefit Café: reimbursement for sports activities, English language courses, and mental health support
• Health insurance
• Financial support during difficult life situations—we understand that this is an extremely challenging time for every Ukrainian, so we’re here for you not only on the “good days” but also on the “tough ones.”
• Employee referral program. The opportunity to directly influence business development and hiring strategy at a rapidly growing international company.

Hiring process: Recruiter interview → Interview with Hiring Manager → Reference check → Job Offer.

💌 It takes 7 days to review your resume.
If you haven’t heard back from a recruiter, it means your experience doesn’t currently match the requirements for this role—we’d be happy to stay in touch about other job openings!

🚀 AI Automations Engineer / Architect (Make.com, n8n)

Ми шукаємо AI Automations Engineer / Architect, який буде проєктувати та створювати автоматизації, внутрішні інструменти й системи для підвищення швидкості, ефективності та масштабованості бізнес-процесів.

Це не просто робота з готовими сценаріями в Make.com або n8n. Нам потрібна людина, яка вміє аналізувати процеси, знаходити bottlenecks, продумувати архітектуру рішення та визначати, коли достатньо automation platform, а коли потрібен custom code або окремий application.

Що потрібно буде робити

• Створювати automation workflows з нуля у Make.com, n8n та за допомогою custom code
• Інтегрувати HubSpot, Slack, Gmail, Google Sheets, forms, scheduling tools, databases та інші платформи
• Будувати складні workflows з filters, routers, conditions, error handling та fallback paths
• Створювати AI-powered workflows з використанням OpenAI для summarization, classification, drafting, enrichment та internal support tasks
• Перетворювати manual SOPs та operational processes у масштабовані автоматизовані системи
• Створювати та підтримувати internal tools і web applications, коли Make.com або n8n недостатньо
• Працювати з існуючими Next.js applications, покращувати, дебажити та розширювати їх
• Підключати applications до сторонніх сервісів через REST APIs та webhooks
• Тестувати, troubleshoot та оптимізувати workflows і applications
• Документувати створені системи для подальшої підтримки командою
• Співпрацювати з leadership та department heads, збирати requirements та покращувати внутрішні процеси
• Постійно знаходити нові можливості для automation та software solutions

Що для нас важливо

• 3+ роки досвіду роботи з Make.com, n8n або аналогічними automation platforms
• 3+ роки досвіду з Next.js, React, TypeScript/JavaScript та Node.js
• Досвід створення або підтримки full-stack applications, dashboards, internal tools та automation interfaces
• Впевнена робота з REST APIs, webhooks, JSON, authentication та third-party integrations
• Досвід з PostgreSQL, Supabase, Firebase або аналогічними databases/backend services
• Знання Git/GitHub, Vercel, environment variables, deployment та debugging
• Досвід роботи з існуючими codebases, bug fixing та refactoring
• Комфортна робота з AI-assisted та vibe-coded applications
• Вміння перетворювати prototypes та AI-generated code у стабільні internal tools

Архітектурне мислення

Важливо вміти самостійно:

• аналізувати бізнес-процеси та знаходити bottlenecks
• визначати, що саме потрібно автоматизувати
• обирати між Make.com / n8n та custom coded solution
• проєктувати workflow architecture з нуля
• передбачати edge cases, errors та fallback scenarios
• будувати надійні системи, які можна підтримувати та масштабувати

Нам потрібна людина, яка мислить як architect, а не просто редагує готові templates.

Soft Skills

• Startup mindset
• Самостійність та ініціативність
• Solutions-oriented підхід
• Coachability та відкритість до feedback
• Вміння швидко адаптуватися
• Вміння працювати без детальних інструкцій
• Комфортна комунікація з leadership та керівниками різних напрямів

Графік

Необхідна можливість працювати з перетином U.S. business hours, бажано Pacific Time.

Кого ми шукаємо

Спеціаліста, який поєднує:

Automation Engineering + AI + Full-Stack Development + System Architecture

і може пройти весь шлях від аналізу процесу та пошуку bottlenecks до реалізації, тестування, deployment, оптимізації та документації готової системи.

We respond to every candidate.

Your application will not be ignored.

Please write why you would like to work together.

If you see this vacancy in several weeks/month - write anyway; we often hire people of different levels.
 

The main information (if you don’t like reading long descriptions)

• Full-time
• Remote-first team working primarily within UK business hours
• Experience: 3+ years
• English: В2+
• Start date: as soon as possible
• Long-term cooperation: we want you to work with us for as long as you can :)

About Us

This position is a direct opportunity with a leading UK company.

The Company builds B2B legal technology that helps law firms deliver faster, higher-quality work. The Company’s platform streamlines legal workflows involved in a niche area of law so lawyers can accelerate drafting, negotiation, and compliance at scale.

Tech highlights - we operate a single-tenant SaaS architecture hosted on AWS across multiple regions, built with a modern stack: Python/Django 6, React 18/TypeScript, PostgreSQL, Redis, Elasticsearch/ OpenSearch, S3, ECS, and Lambda.

Our teams work in Agile Scrum squads, supported by strong CI/CD, IaC (Terraform/Terragrunt), and security-first practices (SOPS, KMS). It’s only a web application, no mobile.

About Team

At the moment, our team consists of Developers, Manual QAs, Automation QAs, Project Managers, UI/UX Designers, DevOps Engineers, etc.

We value:

• Speaking up (good ideas are welcome)
• Growth (we’ll help you get there)
• Learning & innovation (we like experiments that don’t break Prod)

About You 

We are seeking a Middle NLP Specialist to design, build, and optimize the text-processing, document intelligence, and language-driven services that power ProVision. You’ll work closely with back-end engineers, front-end engineers, QA, and DevOps to deliver reliable, scalable, and secure NLP-enabled systems serving global enterprise clients.

The ideal candidate will bring strong experience in Python, NLP libraries, document parsing, information extraction, search/retrieval, and textual data transformation, with a focus on performance, maintainability, and production-grade architecture. Experience integrating LLM-powered workflows into enterprise applications is highly desirable.

Essential Requirements

• Proven experience as an NLP Engineer, Applied AI Engineer, Machine Learning Engineer (NLP focus), or Back-End Engineer with significant NLP experience in a SaaS or production environment.
• Strong proficiency in Python 3.10+.
• Strong experience with NLP libraries and frameworks for text processing, tokenization, entity extraction, classification, embeddings, or semantic search.
• Experience working with document-heavy or unstructured text data.
• Familiarity with asynchronous processing and AWS ecosystem (ECS, Lambda, S3, RDS, SQS/SNS).
• Competence in Git, CI/CD, and Agile/Scrum development.
• Strong problem-solving and debugging skills with an emphasis on performance, reliability, and output quality.
• Experience evaluating and improving the quality of text extraction, classification, or retrieval pipelines.

Preferred Requirements

• Experience with PostgreSQL, Redis, and/or Elasticsearch/OpenSearch
• Experience with .NET
• Experience with LLM application development, including prompting, RAG workflows, embeddings, and model orchestration.
• Familiarity with spaCy, NLTK, Hugging Face, sentence-transformers, LangChain, LlamaIndex, or equivalent tooling.
• Experience with PDF, Word, and OCR/text extraction pipelines, including libraries such as pdfplumber, PyPDF2, python-docx, docxtpl, or equivalent.
• Experience working with legal, financial, or other highly structured professional documents.

Personal Attributes

• Pragmatic engineer with a focus on reliability, experimentation, and clean architecture.
• Analytical and detail-oriented problem-solver with strong judgment on trade-offs between model quality, latency, and maintainability.
• Collaborative and communicative in cross-functional Agile teams.
• Proactive in improving data pipelines, extraction quality, and developer experience.

Our benefits and culture

• Competitive compensation
• A strong engineering team and a challenging LegalTech product, working on complex technical problems.
• Opportunity to lead NLP and document intelligence capabilities for a global legal-tech platform.
• Exposure to complex, enterprise-grade workflows, legal-document automation challenges, and cutting-edge AI/NLP applications.
• An environment where you'll continuously learn, grow, and take meaningful ownership of your work
• No micromanagement
• No bureaucracy (well, almost 🙂)
• No useless tasks
• Work-life balance
• Respect & trust
• Supportive team environment

The Hiring Process

• HR interview 
• 2 technical interviews 

Thank you for considering a career with Intelligent Legal Solutions. We appreciate your interest and look forward to learning more about you

About Us

We’re a fast-growing digital agency that turns ambitious ideas into high-performing products. Our stack blends classic design craft with cutting-edge AI and lightning-fast no-code builds (Shopify, Webflow). Join us to ship sites that go live in days, not months.
Key Responsibilities (what you’ll do first & most)
 

1. Spin up new Shopify stores and other no-code sites from scratch.
   • You’ll design the UI, build the flows, configure apps, and publish end-to-end.
      
2. Own the full design cycle.
   • Research, wireframe, prototype, and create pixel-perfect visuals.
      
3. Leverage AI in daily work.
   • Rapid ideation with Gen-AI tools, prompt engineering for image/content generation, AI-powered user-testing insights, etc.
      
4. Iterate & optimise live sites.
   • Refine UX based on analytics, and push updates via no-code.
      
5. Collaborate with devs
   • Translate growth ideas into clean, scalable design and no-code implementations.
      

(No-code skills are trainable—expect a guided ramp-up. Mastery of AI tools, however, is non-negotiable.)

Must-Have Qualifications
 

• Solid, public portfolio.
• Proficiency in Figma, design systems, and responsive principles.
• Daily use of AI design tooling (e.g., Midjourney, ChatGPT, Figma AI workflows).
• Strong English communication for async teamwork.
• Work an 8-hour shift tracked in Hubstaff.
   

Nice-to-Have (learn here if you don’t yet know)
 

• Hands-on Shopify theme customisation (Liquid, metafields, app setup).
• Experience with any modern no-code builder: Webflow, Framer, Bubble, Glide, Softr, etc.
• Basic HTML/CSS tweaks inside no-code platforms.

About the client:
Our client's platform is designed to work with sales representatives and automate as much of their work as possible, in order to allow them to connect with their clients and make their communications faster. The company also provides intelligence to team managers with performance insights, allowing them to coach their sales reps more effectively.

About the role:
As a Machine Learning Engineer in the Conversational Intelligence Team you will be responsible for building systems that process real-time audio and text streams from Knowledge AI Assistant. You will build scalable machine learning platforms and systems to handle large quantities of data. Engineer low-latency and high-throughput ML systems that must scale for growing business.

Responsibilities:
- Working with voice streams and real-time transcriptions of voice streams to extract intelligence and actionable insights for customers
- Analyzing the relevance of extracted intelligence, performance of the extraction algorithms, and evaluating the performance of third party voice processing APIs
- Finding ways to engineer high availability into a system that has lots of moving parts, not all of which are directly under your control
- Working with stakeholders to make sure our customers have the tools they need to be successful on our platform
- Finding quick ways to prototype and test possible solutions to large problems
- Looking across the stack for the best return on investment for any given pain point.

Requirements:
- 4+ experience in Machine Learning area
- Experience with LLM's
- Experience with cloud-based data platforms and continuous-deployment projects
- Experience with implementing machine learning pipelines
- Willing to go above and beyond to help other team members
- Ability to prioritize details along a path of iterative delivery
- Ability to quickly ramp up new technologies and start contributing.

We are looking for a Project / Product Manager to join one of our international clients on an outstaff basis.

The role will focus on product discovery, client communication, and project coordination from early ideation through delivery.

What You’ll Do

• Lead discovery calls and workshops
• Understand business goals and translate them into product requirements
• Define MVP scope, priorities, and key features
• Prepare user stories and product documentation
• Work with the technical team
• Manage timelines, priorities, risks, and expectations
• Use AI tools for research, documentation, and prototyping

Requirements

• 3+ years of experience as a Project Manager, Product Manager, or similar role
• Experience with product discovery and software development projects
• Strong client and stakeholder communication skills
• Ability to translate business needs into clear requirements
• Strong written and spoken English

Nice to Have

• Experience with AI products or AI tools
• Technical understanding of APIs and integrations
• Experience working with international clients

We Offer

• Full-time remote cooperation
• Long-term outstaff engagement
• International project
• Flexible working hours
• Direct communication with the client and development team

Hiring process: Test task --> Intro call --> Call with customer

Key responsibilities

• Own end-to-end solution architecture for data, analytics, and AI use cases, with accountability for design quality, security, scalability, supportability, and cost.
• Translate business needs into practical technical designs, target architectures, integration patterns, and delivery-ready implementation guidance.
• Lead by example through hands-on prototyping, architecture reviews, troubleshooting, code/design reviews, and technical support for delivery teams.
• Ensure security, governance, compliance, and operational readiness are built into solutions from design through production deployment.

Must have

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 10+ years of IT experience, including 5+ years in senior solution architecture roles for enterprise data, analytics, and AI platforms.
• 5+ years strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling, with the ability to build practical end-to-end solution designs.
• Strong experience with enterprise security, governance, and compliance, and the ability to work effectively with enterprise architects and guiding or regulatory functions to ensure solutions meet organizational standards and control requirements.
• Enterprise AI enablement experience: designing solutions with Azure OpenAI and retrieval-augmented (RAG) patterns.
• BI/analytics architecture experience with Power BI or a similar enterprise BI technology.

Advantages

• Deep hands-on expertise in Power BI architecture, including semantic models, DAX, Power Query, workspace strategy, governance, performance optimization, and enterprise reporting patterns.
• Experience with Microsoft-first AI platforms and services such as Azure AI Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, Prompt Flow, and enterprise AI governance patterns.
• Experience with Microsoft Fabric, Azure DevOps, GitHub Enterprise, and CI/CD for Data or AI solutions.
• Experience with Microsoft security and governance services such as Microsoft Entra, Purview, and Key Vault.
• Experience in life sciences, pharmaceuticals, or other regulated industries.
• Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture.

Key skills

• Hands-on technical leadership with a clear lead-by-example mindset.
• Strong architecture judgment across data, analytics, AI, integration, security, and non-functional requirements.
• Proven ability to own solution architecture end to end: shape target designs, validate them through prototyping or proof of concept where needed, guide delivery teams through implementation, and provide technical oversight through design reviews and production readiness checks.
• Ability to translate business problems into practical, delivery-ready technical solutions.
• Strong troubleshooting, decision-making, estimation, and risk management capability.
• Comfort working across distributed teams and external suppliers in enterprise delivery environments.
• Excellent communication skills in English, with the ability to drive alignment across architects, delivery teams, business stakeholders, and enterprise control functions.

Core technology stack

• Analytics: Power BI, semantic models, DAX, Power Query, Databricks, enterprise reporting and governance.
• Data platform: Azure Data Factory, Databricks, Azure data lake, SQL, dimensional modeling, ETL/ELT, orchestration.
• AI platform: Azure OpenAI, Azure AI Foundry, Azure AI Search, Copilot Studio, Semantic Kernel, Prompt Flow.
• Engineering and governance: Azure DevOps, GitHub Enterprise, CI/CD, Microsoft Entra, Purview, Key Vault.
• Optional / advantageous: Microsoft Fabric, Python, data observability and monitoring patterns.

About the Company

We are a fast-growing company that runs several online platforms in information services and e-learning. Our main market is the U.S., and we are expanding into Europe and Asia. The company is 2 years old and has tripled in size this year.
Our flagship site: efaq.com

Main Tasks

• Creation of advertising videos with specialized AI tools like Creatify or TheBrief.

   

Requirements

• Experience with Creative/Graphic/Motion Design, preferably working with ad creatives.
• Experience with AI tools for video, preferably Creatify or TheBrief or other tools specialized in advertising content.
• Experience working with creatives for Meta Ads
• English B2.

What We Offer

• Fully remote job
• Unlimited PTO policy (paid vacation)
• Power station and/or corporate laptop (by your request)

About Us

We are a fast-growing and leading company in the AI Voice space for the iGaming industry. Our AI Voice & Messaging Player Activation Platform helps casino and betting operators turn registrations into deposits and reactivate inactive players — improving Reg→Dep conversion and player LTV at a scale human call centers can’t match. Our product is already used by 20+ brands across 8+ geographies. We are funded and building a team of top-tier talent.

Who We’re Looking For

We are looking for a hands-on Account Manager who will own day-to-day client relationships — from the first kickoff message through project preparation, launch, and beyond. You will be the client’s main point of contact: collecting everything needed to launch projects, keeping statuses under control, maintaining documentation, gathering feedback, and growing accounts through upsells — in tight collaboration with our delivery team.

About You

You have hands-on experience managing client accounts — ideally as a Support Affiliate Manager, Affiliate Manager, or in a similar client-facing role in iGaming. You are organized and structured, comfortable running many parallel client threads, and you keep nothing slipping through the cracks. You build warm, trusted relationships with clients and naturally spot opportunities to grow accounts.

What Awaits You

A high-intensity team where everyone is focused on results. No bureaucracy, no pointless rules, no slow teammates. An opportunity to earn without limits, directly tied to the value you create, with a transparent motivation system. Clear processes and playbooks from day one — and real room to grow into a senior account role as the department scales.

Responsibilities:

• Serve as the client’s main point of contact and manage the full communication cycle, especially during project preparation and launch stages.
• Collect and structure all necessary information from clients ahead of launches.
• Monitor and control project statuses at every stage, keeping both the client and the internal delivery team in sync.
• Fill in and maintain client-related documentation (project trackers, briefs, spreadsheets, reports) accurately and on time.
• Collect client feedback after launches, monitor satisfaction, and maintain a strong, ongoing client relationship.
• Identify and execute upsell opportunities: launching new projects for the client (new segments, funnels, GEOs) and scaling volumes on existing campaigns.
• Onboard clients to the platform
•  

Requirements

• 1–2+ years in a client-facing role in iGaming, Gambling, or Betting — Support Affiliate Manager experience is the ideal background; Account Management / Affiliate / Retention / CRM also fit.
• Experience managing B2B clients and running a full communication cycle.
• Strong self-organization and attention to detail: comfortable maintaining documents, trackers, and statuses across a high volume of parallel requests.
• Understanding of key iGaming metrics: ROI, LTV, GGR, NGR, Reg→Dep conversion.
• English — confident working level.
•  

Nice to Have

• Understanding of CPA / RevShare / Hybrid models and where they apply.
• Experience working with CRM tools (Customer.io, Smartico, Optimove, or similar).
• Experience in a performance call center or retention team.
•  

What we offer

• Fully remote work format and flexible working hours.
• Competitive salary pegged to USD.
• 24 days of paid vacation (sick leave, national, religious, and company holidays).
• A friendly communication culture and transparent processes.
• Dynamic work environment.
• Opportunities for professional development and career growth.
• No micromanagement — just trust, ownership, and freedom to experiment.

AI Short Movie Creator  / AI Creator 🇺🇦

🎬 We generate AI short movies — like Dramabox, but 100% AI-powered. (FOR OUR AI Girlfriend Platform) 

 

What we're looking for

• Expert in ComfyUI or other AI generation tools
• Strong prompting skills for image/video models
• Eye for storytelling, pacing, and visual quality
• Hands-on experience with AI video workflows
• 
   

Details

• 🕐 Full-time
• 🇺🇦 Ukrainian-speaking AI Generation / Prompting Team
• 100% AI production — no traditional filming

We're looking for a detail-obsessed AI QA Tester to own quality across our AI-driven financial products. You'll test not just for bugs, but for correctness, fairness, and reliability in a domain where precision matters. This is a hands-on role: you'll design test cases, catch edge cases humans miss, and work directly with engineers and product managers to ship with confidence.

Details: 
Schedule: Full time remote 
Location: Ukraine/EU

Start: ASAP 
English: Fluent 
Project:  Fintech 

This is a hands-on QA role responsible for monitoring the full product line. You will be the person who catches issues before users do — broken buttons, missing notifications, logic gaps in user flows, and inconsistencies between admin and clientfacing interfaces. You will report directly to the Product Owner and CTO.

What You’ll Do

• Perform end-to-end manual testing across the entire platform: all features, buttons, forms, and flows
• Test admin panel functionality — user management, bank onboarding, configurations, and notifications
• Validate user flows and business logic: verify the platform behaves correctly from the user’s perspective
• Review logs and error reports to identify root causes and reproduce bugs
• Test new releases and features before they go live; regression test existing functionality
• Read and review code where needed to understand expected behavior and trace issues
• Document bugs clearly with steps to reproduce, environment details, and severity
• Report findings to the Product Owner and development team; track issues through to resolution
• Build and maintain test cases, checklists, and QA documentation

What We’re Looking For

• 4+ years of manual QA experience on a web or SaaS product
• Strong understanding of user flows, product logic, and how frontend connects to backend
• Ability to read code (JavaScript, SQL, or similar) to investigate issues — you don’t need to write it, but you need to understand it
• Experience testing admin panels, APIs (REST), and notification/event-driven systems
• Familiarity with log analysis and browser dev tools
• Structured and detail-oriented: able to write clear, reproducible bug reports
• Comfortable working directly with developers and product owners in a fastpaced startup

• English proficiency sufficient for written communication (B1+)

   

Nice to Have

• Experience in fintech, banking, or regulated industry products
• Exposure to AI-powered platforms or data-heavy products
• Basic automation skills (Cypress, Playwright, or similar) — not required, but a plus
• Experience working in ClickUp or similar task management tools

Softcery builds production-ready conversational AI systems for B2B software platforms. We partner with software companies in the US and UK to build AI agents, copilots, voice interfaces, and conversational layers that integrate directly into their products. Our team focuses on complex AI engineering - building reliable, scalable systems that work with real users, workflows, and product infrastructure. We combine deep AI expertise with strong product thinking to help companies move from AI prototypes to production-ready systems they can own and scale.

We are looking for an AI Engineer to design and build AI agents, Voice AI solutions, and intelligent automations. You'll work with modern LLMs, agent frameworks, and production AI systems that solve real business problems.

What You'll Do:

• Build AI agents, Voice AI solutions, and intelligent automation workflows.
• Design and develop AI-powered applications using modern LLMs and agent frameworks.
• Build RAG pipelines and integrate AI systems with APIs, databases, CRMs, and third-party services.
• Design prompts, agent workflows, memory, and tool-calling capabilities.
• Optimize AI systems for performance, reliability, scalability, and cost efficiency.
• Explore new AI models, frameworks, and technologies, applying the best solutions to real-world use cases.

• Collaborate with engineers and clients to deliver production-ready AI solutions.

   

What We're Looking For:

• 1–3 years of commercial experience in AI Engineering.
• Strong Python skills.
• Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini, etc.) and AI-powered applications.
• Experience with LangGraph, LangChain or similar frameworks.
• Understanding of prompt engineering, RAG, embeddings, vector databases, and AI orchestration concepts.
• Strong problem-solving skills, ownership mindset, and eagerness to learn.

• English – Upper-Intermediate (B2) or higher.

   

What We Offer:

• Structured onboarding & mentorship – a clear onboarding plan, documented workflows, and a team that has your back.
• Flexible remote schedule – work from wherever and whenever you're most productive.
• Learning budget – we cover books, courses, English lessons, and AI tools for your professional growth.
• Full accounting support – so you can focus on the work, not the paperwork.
• Time off – 20 paid vacation days, 12 sick days, 2 paid period leave days/month (for women), and your birthday off.
• IT Cluster membership – access to professional events and networking opportunities in the local tech community.

🔁 Hiring Process: Screening → Technical interview→ Test Task → Final Interview.

If you're excited about building AI products that solve real business problems and want to work with the latest AI technologies every day, we'd love to meet you 👋