Jobs at Djinni

We are Red Rocket Software team and now we are looking for a Back-End Developer with 2+ years of experience to join us and be part of an interesting and very promising long term project.

Requirements:

- 2+ years of experience with Node.js

- Strong knowledge of JavaScript and TypeScript

- Experience with Express, NestJS frameworks

- Familiarity with relational databases, including MySQL and PostgreSQL

- Experience in testing

- Knowledge and proficiency with Git

- English language proficiency at least B1

- It will be a plus if there is knowledge of the NextJS

- Ability to plan work processes independently

Responsibilities:

- Development using Node.js; Typescript; Express, NestJS, NextJS

- Work closely with a team of developers and designers to deliver high quality solutions

- Full time development from coding to testing

- Solve problems as they arise

• Project Description:

  We create a modern Online Onboarding system for bank's Corporate Clients. Our solution is a secured high performance digital platform, which automates Know Your Customer and client onboarding processes and minimizes manual operations.
  We focus on excellent user experience and rapid business response as key factors for successful onboarding of new enterprise client's.
  Our project joins 8 teams of 100 people in total (Ukraine, USA and others) and works with the client for 10+ years. Each team consists of Devs, BA, QA, Team Lead, and is supported by dedicated DevOps/L3 group. We use agile methodologies on team level (Scrum, Kanban) and scaled agile approach on a project level.

   

• Responsibilities:

  • Proactive managing of development team
  • Participation in scoping and planning of future delivery items
  • Leading technical design solutions according to scope of releases and organising work distributing in development team with collaboration other stakeholders
  • Responsible for delivery processes establishment and maintenance
  • Supervising the team from task execution and performance perspective
  • Transparent communication with customer focusing on ongoing progress and delivery risks
  • Development of the new features along with bug fixing and supporting existing software
  • Ensure good development testing coverage
  • Participate in peer design and code reviews
  • Participate in architecture design sessions
  • Proactively collaborate with teammates and communicate with stakeholders, remote team members
  • Evaluate and adopt new development tools, libraries, and approaches to improve delivery quality

   

• Mandatory Skills Description:

  - Solid experience in industry of software development 7+ years
  - Team / Stream/Tech Lead experience 2+ years
  - Proven experience as key software developer on web projects
  - Good knowledge of Java 17, Spring, MongoDB.
  - Web services (HTTP, SOAP, REST, etc.)
  - Up-to-date overview of modern software development tools and techniques
  - People management, stakeholders management, communication & decision making practices

   

• Nice-to-Have Skills Description:

  - Kotlin
  - React/Redux
  - TypeScript
  - Kafka/JMS
  - Banking domain
  - Performance evaluations\appraisals

For 9 years, we have created a premium look for businesses through web design, UX/UI design, and brand identity. Our projects support the world’s most popular design awards: Webby, Red Dot, and Awwwards. Clients from over 50 countries worldwide work with us, including VISA, FIFA, UNICEF, and Mercedes-Benz. The convenience of our interfaces allows you to quickly and easily place the necessary information, and animation makes them intuitive and exciting to use. And our brand design creates the appearance of a market leader, is memorable, and motivates customers to come back again.
 

Join us as a 3D Motion Designer and help bring our clients’ ideas to life through clear, engaging, and high-quality motion projects.
 

Responsibilities:
- Development of ideas and concepts;
- Support for the visual style and company branding;
- Creation of visual content using Cinema 4D or other programs;
- 3D graphics;
- Web animation in After Effects;
- Logo animation;
- Modeling and animating objects in 3D;
- Video content editing, basic montage;
- Communication with developers and UX/UI designers;
- Content optimization for the web and social media.
 

Requirements:
- Knowledge of basic animation principles;
- 2+ years of professional experience;
- Proficiency in 3D graphic editors (preferably Cinema 4D and Octane);
- Fluent command of After Effects;
- Basic knowledge of Figma, Photoshop, Illustrator;
- English: Intermediate.

About the Company:
 

The company is building a white-label neobank powered by stablecoins, combining the reliability of modern fintech with the intelligence of AI agents. The app offers all the core features of a digital bank - wallets, payments, transaction histories, and dashboards - and integrates Zaira, an AI agent, as a built-in experience for smarter financial interactions.
 

The company operates a modern TypeScript stack end-to-end:
 

Frontend: React Native + Expo, Tamagui design system, Zustand + TanStack Query, GraphQL/REST, SSE/WebSockets.
Backend: Serverless AWS (Lambda, API Gateway, DynamoDB, Kinesis, EventBridge, Cognito, S3/CloudFront).
Tooling & Observability: EAS OTA updates, Maestro/Detox E2E tests, Sentry, Better Stack, RudderStack → Amplitude.
 

What truly sets the company apart is its AI-driven development culture. The team leverages tools like Claude, Cursor, and MCP servers connected to Figma to accelerate and augment workflows. AI is not an add-on - it’s a fundamental part of how the company designs, builds, and ships products.

 

The Role:
 

The company is looking for a Senior Full Stack Engineer capable of delivering pixel-perfect financial applications while thriving in an environment where AI is a daily co-pilot. You’ll craft flawless UI in React Native, build secure serverless APIs, and embrace AI tooling to work faster and smarter.
 

This is an opportunity to work at the intersection of fintech and AI, pushing the boundaries of how AI tools transform software engineering.

 

What You’ll Do:
 

• Deliver production-ready, pixel-perfect UI in React Native + Expo, using Tamagui + Style Dictionary for consistent design.
• Own core neobank features, including wallets, payments, transaction histories, onboarding, and notifications.
• Build and maintain scalable serverless APIs (Lambda, API Gateway, DynamoDB, Kinesis, EventBridge).
• Integrate stablecoin and blockchain payment flows with a strong focus on security and compliance.
• Implement real-time features using WebSockets and SSE, including AI-driven chat and streaming UX.
• Optimize for performance (Hermes, Reanimated, FlashList) and observability (Sentry, Better Stack).
• Collaborate closely with design teams using Figma → tokens → Tamagui workflows.
• Leverage AI-driven development tools (Claude, Cursor, MCP integrations) for accelerated coding, testing, and prototyping.
• Contribute to the culture of AI-assisted engineering by experimenting with and integrating new tools to increase productivity.
• Mentor teammates and define engineering standards for AI + fintech best practices.
  
   

What We’re Looking For:
 

• 10+ years of engineering experience, with at least 5 years in mobile fintech applications.
• Proven ability to deliver complex, secure, and visually refined financial apps.
• Mastery of React Native + Expo, with a strong portfolio of pixel-perfect UI/UX work.
• Full-stack proficiency in TypeScript, including serverless AWS backends.
• Experience with secure authentication (Cognito, JWT, device secrets) and financial-grade data handling.
• Familiarity with stablecoins, blockchain transactions, or payment APIs.
• Strong understanding of real-time networking (WebSockets, SSE).
• Comfort working with AI tooling in day-to-day development - ideally using tools such as Claude, Cursor, or AI-assisted IDEs.
• A proactive mindset and excitement to push the frontier of AI-driven software engineering.
  
   

Why Join the Company:
 

• Build a next-generation whitelabel neobank with AI at its core.
• Work across a modern, unified TypeScript stack covering both frontend and backend.
• Shape the future of AI-driven engineering - not just using AI, but defining how it’s done.
• Solve challenging problems in fintech UX, payments, real-time systems, and blockchain.
• Join a remote-first, senior team that values ownership, precision, and innovation.
  
  
  Ready to Apply?
• If you’re passionate about building intelligent, design-driven fintech products and want to work alongside AI as your co-engineer, this is the place to do it.
• Join a team that’s redefining how financial technology is created - faster, smarter, and more human-centered than ever before.
• Apply now and become part of a new era of AI-powered software development.

About SlotCatalog
 

SlotCatalog is a leading intelligence and data platform in the online casino industry. We serve both players and industry partners by tracking slot games, providing performance insights, and managing large-scale structured data.
 

The business is profitable, fast-growing, and SEO-driven, with strong traction in both organic user acquisition and direct B2B partnerships. As we expand into new regulated markets and continue scaling our affiliate operations, we’re looking for talented professionals to help us grow even faster.
 

The Opportunity: Affiliate Manager

We’re looking for an experienced Affiliate Manager to join our team and take ownership of affiliate partnerships, campaign performance, and business development.
 

This is an exciting opportunity to work across multiple markets, products, and niches in a company where your ideas and initiatives directly influence growth. You’ll play a key role in shaping our affiliate strategy, building processes, and strengthening our partner network globally.
 

What You’ll Do

• Manage and expand SlotCatalog’s affiliate network by building and maintaining strong relationships with partners.
• Stay up to date with active gambling operators, available offers, and new market trends.
• Keep the partner database accurate and up to date.
• Identify and onboard new affiliate partners and business opportunities.
• Set up new affiliate accounts, create and distribute tracking links.
• Monitor and analyze affiliate performance, providing recommendations to improve results.
• Test new integrations, placements, and partnership tools.
• Provide insights into new opportunities, emerging trends, and potential challenges in affiliate operations.
   

What We’re Looking For

• 2+ years of experience in Affiliate Marketing (experience in the iGaming industry is a plus).
• Strong understanding of affiliate marketing principles and performance-based models.
• Excellent written communication skills in English (Intermediate level or higher).
• Ability to manage multiple projects simultaneously with attention to detail.
• Strong negotiation skills and creativity in finding and securing new opportunities.
• Relationship-driven mindset with the ability to handle complex partner interactions.
• Initiative, independence, and a proactive approach to achieving results.
   

What We Offer

🎯 Autonomy & Impact
Take ownership of your projects and partnerships — your ideas will directly influence our global growth.

🏡 Remote & Flexible
Work from anywhere with a schedule that supports your productivity and work-life balance.

🌴 Time Off
Enjoy 28 paid vacation days plus an extra day off on your birthday.

🩺 Health & Recovery
Paid sick leave to support your well-being.

📚 Learning & Development
Access to English courses, internal knowledge resources, and professional development opportunities.

Ready to shape the future of a high-impact product in a growing industry? Let’s talk.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client is the fast-moving remote team building AI-driven financial tools for the U.S. auto industry.
The product is oriented on the B2B segment, specifically on Sales and Marketing Managers in the US Automotive niche. The goal of the product is to eliminate existing data lack, providing a modern UI/UX experience.

About the role:
We are looking for a Full-Stack Engineer, who will join the team.

Requirements:
- 6+ years of experience in software engineering with a strong focus and 4+ years on Node/Next/Nest/Mongo/Service Architecture backend development.
- Solid knowledge of JavaScript/TypeScript and frameworks (React is a must, near pixel-perfect layout), Elastic UI Framework (replaced with Microsoft Fluent UI);
- Understanding of CI/CD pipelines and cloud services (AWS preferred).
- Knowledge of Tools & Processes: Jira/Confluence/Slack/Cursos;
- Clear and confident English communication skills (B2+ level).
- Proactive mindset, problem-solving attitude, and ability to work autonomously.
- Playwright usage for end-to-end tests.

Responsibilities:
- Build and maintain user-facing features with high performance and responsiveness.
- Collaborate with the product manager, QA engineers, and designers to deliver intuitive, impactful functionality.
- Contribute to architectural decisions and ensure clean, maintainable code across the stack.
- Optimize the app for maximum speed, performance, and scalability.
- Participate in code reviews, live coding sessions, and technical planning.
- Work independently and drive solutions end-to-end with minimal supervision.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client's mission is to reduce the time and money enterprises spend on state-of-the-art technology by 99%. It is the core constraint that drives the product philosophy. It forces the company to reject incremental improvements and pursue fundamental breakthroughs. These principles are the operating system for how the company thinks, builds, and ships. They are how the company turns radical ambition into reality.

About the role:
We are looking for a Full Stack AI Engineer who will join the team. You'll be an architect of the revolution against enterprise tech waste. You'll build the core platform and intelligent agents that power the company's mission — not optimizing existing workflows, but eliminating them entirely.

Requirements:
- 5+ years of industry experience in product-centric full-stack engineering roles;
- Very strong software engineering background with deep expertise in Python/Typescript.
- Hands-on LLM product patterns (prompting, tool use, routing, evals, regression testing);
Experience of working with Agents & LLMs:
- LangGraph/LangChain (know its limitations & trade-offs);
- Multi-provider routing, prompt tooling, trace/eval discipline (LangSmith);

Experience of working with Knowledge & Search Technologies:
- Vector — pgvector on PostgreSQL (semantic);
- Graph traversal — Cypher on Neo4j (relationships & enterprise context graph);
- Keyword/BM25 — lexical precision;
- Cross-Encoder (BGE Reranker) + RRF (blend lists robustly);
Deep knowledge of working with Data & Databases:
- PostgreSQL (Cloud SQL) — primary OLTP;
- SQLAlchemy and BigQuery — analytics/outcomes & cost/waste telemetry;
- Redis (Memorystore) — caching + lightweight queue/broker;
- GCS — object storage (files, audio, artifacts);

Responsibilities:
Design & Build Autonomous Agents:
- Tackle the end-to-end challenge of creating agents that solve open-ended enterprise problems.
- Wrangling high-volume enterprise data, building robust evaluation frameworks.
- Mastering the interplay between LLM prompting, fine-tuning, and scalable system architecture.
- Lead Customer Conversations & Translate to Product: Work directly with customer executives to translate their most critical objectives into breakthrough product features.
- Build the "New": Own the most audacious hypotheses, like fully autonomous optimization agents that replace entire consulting engagements and obsolete the need for army-style deployments.
- Master Deep Context: Build systems that understand enterprise architecture patterns better than most architects, automatically discovering waste and optimization opportunities.
- Take single-threaded ownership of core AI product areas, with end-to-end responsibility for customer success and business outcomes.
- Double as a Forward Deployed Engineer: Work regularly onsite with customers, and actually work with the systems.
- Every customer engagement becomes R&D for the platform, turning individual pain points into generalizable breakthroughs that serve the entire customer base

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client's mission is to reduce the time and money enterprises spend on state-of-the-art technology by 99%. It is the core constraint that drives the product philosophy. It forces the company to reject incremental improvements and pursue fundamental breakthroughs. These principles are the operating system for how the company thinks, builds, and ships. They are how the company turns radical ambition into reality.

About the role:
We are looking for a Full Stack AI Engineer who will join the team. You'll be an architect of the revolution against enterprise tech waste. You'll build the core platform and intelligent agents that power the company's mission — not optimizing existing workflows, but eliminating them entirely.

Requirements:
- 5+ years of industry experience in product-centric full-stack engineering roles;
- Very strong software engineering background with deep expertise in Python/Typescript.
- Hands-on LLM product patterns (prompting, tool use, routing, evals, regression testing);
Experience of working with Agents & LLMs:
- LangGraph/LangChain (know its limitations & trade-offs);
- Multi-provider routing, prompt tooling, trace/eval discipline (LangSmith);

Experience of working with Knowledge & Search Technologies:
- Vector — pgvector on PostgreSQL (semantic);
- Graph traversal — Cypher on Neo4j (relationships & enterprise context graph);
- Keyword/BM25 — lexical precision;
- Cross-Encoder (BGE Reranker) + RRF (blend lists robustly);
Deep knowledge of working with Data & Databases:
- PostgreSQL (Cloud SQL) — primary OLTP;
- SQLAlchemy and BigQuery — analytics/outcomes & cost/waste telemetry;
- Redis (Memorystore) — caching + lightweight queue/broker;
- GCS — object storage (files, audio, artifacts);

Responsibilities:
Design & Build Autonomous Agents:
- Tackle the end-to-end challenge of creating agents that solve open-ended enterprise problems.
- Wrangling high-volume enterprise data, building robust evaluation frameworks.
- Mastering the interplay between LLM prompting, fine-tuning, and scalable system architecture.
- Lead Customer Conversations & Translate to Product: Work directly with customer executives to translate their most critical objectives into breakthrough product features.
- Build the "New": Own the most audacious hypotheses, like fully autonomous optimization agents that replace entire consulting engagements and obsolete the need for army-style deployments.
- Master Deep Context: Build systems that understand enterprise architecture patterns better than most architects, automatically discovering waste and optimization opportunities.
- Take single-threaded ownership of core AI product areas, with end-to-end responsibility for customer success and business outcomes.
- Double as a Forward Deployed Engineer: Work regularly onsite with customers, and actually work with the systems.
- Every customer engagement becomes R&D for the platform, turning individual pain points into generalizable breakthroughs that serve the entire customer base

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.
 

About the client:
Our client is an IT company that develops technological solutions and products to help companies reach their full potential and meet the needs of their users. The team comprises over 600 specialists in IT and Digital, with solid expertise in various technology stacks necessary for creating complex solutions.
 

About the role:
We are looking for an experienced Senior Data Scientist / NLP Lead to spearhead the development of cutting-edge natural language processing solutions for the Ukrainian LLM project. You will lead the NLP team in designing, implementing, and deploying large-scale language models and NLP algorithms that power the products.

This role is critical to the mission of advancing AI in the Ukrainian language context, and offers the opportunity to drive technical decisions, mentor a team of data scientists, and shape the future of AI capabilities in Ukraine.
 

Requirements:
Education & Experience:
- 5+ years of experience in data science or machine learning, with a strong focus on NLP.
- Proven track record of developing and deploying NLP or ML models at scale in production environments.
- An advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred.

NLP Expertise:
- Deep understanding of natural language processing techniques and algorithms.
- Hands-on experience with modern NLP approaches, including embedding models, text classification, sequence tagging (NER), and transformers/LLMs.
- Deep understanding of transformer architectures and knowledge of LLM training and fine-tuning techniques, hands-on experience developing solutions on LLM, and knowledge of linguistic nuances in Ukrainian or other languages.

Advanced NLP/ML Techniques:
- Experience with evaluation metrics for language models (perplexity, BLEU, ROUGE, etc.) and with techniques for model optimization (quantization, knowledge distillation) to improve efficiency.
- Background in information retrieval or RAG (Retrieval-Augmented Generation) is a plus for building systems that augment LLMs with external knowledge.
ML & Programming Skills:
- Proficiency in Python and common data science libraries (pandas, NumPy, scikit-learn).
- Strong experience with deep learning frameworks such as PyTorch or TensorFlow for building NLP models.
- Ability to write efficient, clean code and debug complex model issues.

Data & Analytics:
- Solid understanding of data analytics and statistics.
- Experience in experimental design, A/B testing, and statistical hypothesis testing to evaluate model performance.
- Experience on how to build a representative benchmarking framework given business requirements for LLM.
- Comfortable working with large datasets, writing complex SQL queries, and using data visualization to inform decisions.

Deployment & Tools:
- Experience deploying machine learning models in production (e.g., using REST APIs or batch pipelines) and integrating with real-world applications.
- Familiarity with MLOps concepts and tools (version control for models/data, CI/CD for ML).
- Experience with cloud platforms (AWS, GCP or Azure) and big data technologies (Spark, Hadoop) for scaling data processing or model training is a plus.
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML, as well as ML workflow tools (MLflow, Airflow).
Leadership & Communication:
- Demonstrated ability to lead technical projects and mentor junior team members.
- Strong communication skills to convey complex ML results to non-technical stakeholders and to document methodologies clearly.

Responsibilities:
- Lead end-to-end development of NLP and LLM models - from data exploration and model prototyping to validation and production deployment. This includes designing novel model architectures or fine-tuning state-of-the-art transformer models (e.g., BERT, GPT) to solve project-specific language tasks.
- Analyze large text datasets (Ukrainian and multilingual corpora) to extract insights and build robust training datasets.
- Guide data collection and annotation efforts to ensure high-quality data for model training.
- Develop and implement NLP algorithms for a range of tasks such as text classification, named entity recognition, semantic search, and conversational AI.
- Stay up-to-date with the latest research to apply transformer-based models, embeddings, and other modern NLP techniques in the solutions.
- Establish evaluation metrics and validation frameworks for model performance, including accuracy, factuality, and bias.
- Design A/B tests and statistical experiments to compare model variants and validate improvements.
- Deploy and integrate NLP models into production systems in collaboration with engineers - ensuring models are scalable, efficient, and well-monitored in a real-world setting.
- Optimize model inference and troubleshoot issues such as model drift or data pipeline bottlenecks.
- Provide technical leadership and mentorship to the NLP/ML team.
- Review code and research, uphold best practices in ML (version control, reproducibility, documentation), and foster a culture of continuous learning and innovation.
- Collaborate cross-functionally with product managers, software engineers, and MLOps engineers to align NLP solutions with product goals and infrastructure capabilities.
- Communicate complex data science concepts to stakeholders and incorporate their feedback into model development.

The company offers:
- Competitive salary.
- Equity options in a fast-growing AI company.
- Remote-friendly work culture.
- Opportunity to shape a product at the intersection of AI and human productivity.
- Work with a passionate, senior team building cutting-edge tech for real-world business use.

About the project:

We are building a corporate AI Assistant powered by Microsoft Azure and OpenAI technologies. The system helps employees search, analyze, and generate internal documents. The long-term goal is to extend AI Assistant capabilities across all company departments.

To strengthen our team, we are looking for an experienced ML Architect (Azure AI / RAG) who will design and implement the machine learning architecture, integrate AI models, and ensure production-level performance and reliability.

Responsibilities:

• Design and implement AI architecture on Microsoft Azure (Azure ML, Cognitive Search, OpenAI, Databricks). 
• Build and manage RAG pipelines (Retrieval-Augmented Generation) and vector search systems. 
• Develop and optimize ML pipelines for embeddings, data preprocessing, and model evaluation. 
• Collaborate with DevOps and Data Engineer teams to ensure seamless integration and deployment. 
• Establish and maintain MLOps practices (model versioning, evaluation, monitoring). 
• Define and track AI performance metrics (latency, precision, recall, cost per request). 
• Create documentation (ADR, architecture diagrams, experiment tracking).

Requirements:

• 3+ years of experience in Machine Learning / AI / Data Engineering. 
• Strong background with Microsoft Azure ML / Cognitive Search / Databricks / OpenAI. 
• Proficiency in Python, FastAPI, LangChain / LlamaIndex, MLflow, Airflow. 
• Hands-on experience with vector databases (FAISS, Pinecone, pgvector, Cognitive Search). 
• Understanding of RAG, embeddings, prompt optimization, LLM orchestration. 
• Experience building MLOps / CI-CD for ML models in production. 
• English — Upper-Intermediate+ (for documentation and collaboration).

Will be a plus:

• Experience with Azure OpenAI Service, Azure Document Intelligence. 
• Knowledge of data governance, PII protection, cost optimization. 
• Background in AI-driven enterprise automation or corporate assistants.

We offer:

• Opportunity to design a core AI architecture from scratch and influence all key technical decisions. 
• Participation in a high-impact AI transformation project that scales across multiple departments. 
• Remote or hybrid work format, flexible schedule. 
• Transparent B2B / contract cooperation. 
• Supportive and technically strong team (DevOps, Data, Product).

How to apply:

Send your CV.
We will contact you shortly.

igTalents is a full-cycle recruitment agency dedicated to the iGaming industry. We partner with one of the market’s leading iGaming holdings, giving candidates access to unique growth opportunities. 

Our mission is to help iGaming professionals find the best roles and unlock their potential, supporting talent at every stage of the journey.
 

What Experience Is Important to Us:

• 2-3 years of experience in the finance department of a CPA network, advertising agency or gambling company
• Knowledge of basic accounting and financial processes
• Excellent skills in Excel / Google Sheets, confident handling of CRM systems and traffic reports
• Understanding of CPA / RevShare / media buying models
• Willingness to streamline workflows and implement automation

What You Will Do:

• Preparation and reconciliation of financial reports: comparing CRM data, deposits and budget plans
• Monitoring incoming payments from partners (accounts receivable) and controlling timely payouts to partners (accounts payable)
• Verifying the accuracy of reports on manual charges to partner's balances
• Controlling and verifying payouts under the affiliate program
• Coordinating and processing invoices, accounting for discounts, refunds, and compensation for provided services
• Providing financial support to partners
• Collaborating with the accounting team and affiliate department
• Optimizing financial processes and participating in reporting automation

Why you should consider this opportunity

• Remote-first format: Mon–Fri, 10:00–19:00 (UTC+2) — skip the commute.
• Paid vacation & sick leave, plus an extra day off for your birthday.
• Competitive compensation that fairly reflects your expertise and impact.
• Engaging corporate events to learn, share experience, and grow with like-minded professionals.
• No micromanagement: we trust our team, encourage initiative, and keep a flat hierarchy for fast decisions.
• Ongoing professional development: continuous support to build new skills and advance your career.
• Dynamic work environment: a profitable, forward-thinking company where every specialist plays a key role.

🚀 Join one of the strongest teams in iGaming and unlock your full potential!

One of the world's largest providers of products and services to the energy industry has a need to develop and support enterprise information system in Oil & Gas domain.
Product being developed is a cloud solution for interpretation of geological and geophysical data. Project is based on SCRUM methodology.
Our project is stable, long-term and constantly adopts new technologies such as newest Java and Eclipse RCP versions, cloud and GPU computing, microservices architecture and other innovative frameworks.
Work supposes close cooperation with Customer team located in Houston and following Agile principles.
Our team is senior, supportive and friendly.

• Responsibilities:

  • Collaborate closely with geophysicists, data scientists, and software engineers to translate scientific domain requirements into robust on-prem or Cloud software solutions.
  • Design, develop, and maintain high-performance applications for geophysical and geological data analysis, interpretation and visualization (e.g., seismic, horizon, fault, velocity model, etc.)
  • Ability to break down development tasks and lay out clear implementation roadmaps.
  • Implement and optimize computation algorithms
  • Ensure high code quality through unit testing, code reviews, security hardening and continuous integration with other domain tools
  • Provide technical support and lead user troubleshooting sessions to resolve issues and ensure smooth operation of an application
  • Mentor junior developers and actively contribute to architectural and
  implementation decisions.
  • Embrace Agile/Scrum methodologies, delivering and demonstrating working solutions at the end of each sprint
  • Stay current with emerging technologies and trends in geophysical computing and software development.

• Mandatory Skills Description:

  3+ years of experience in
  Python backend development
  fastAPI
  kafka
  Postgres

Dynamica Labs (Microsoft Gold Partner) is looking for a Video Editor to help take our online presence to the next level. 
In this role, you will create videos that grow our YouTube channel, podcasts, and other content formats - from educational materials for IT professionals to content for top-level corporate executives.  
This is an excellent opportunity for a professional who wants to work with creative content, continuously develop their skills, and build a long-term collaboration. 

What you will do: 

• Create and edit content in various formats, including: 
• Interviews 
• News digests 
• Internal corporate videos 
• Short social media clips 
• Edit and optimize podcasts for YouTube, Spotify, and other audio platforms 
• Perform multi-camera and multi-track editing in Riverside 
• Edit long and short videos: trimming, intros/outros, subtitles, graphics 
• Add and mix audio effects, clean up speech tracks (remove pauses, clicks, filler sounds, etc.) 
• Repurpose content into formats suitable for different platforms 
• Write and refine video descriptions, titles, and tags to ensure engagement and discoverability 
• Ensure content quality, consistency, and timely delivery 
• Implement creative ideas that bring value to both the audience and the business 

We are looking for you if you: 

• Have proven experience working with YouTube channels and social media (YouTube, Facebook, Instagram, Telegram, LinkedIn) 
• Possess strong video and audio editing skills using Adobe Premiere, After Effects, and Riverside, and optionally are familiar with Canva, ChatGPT, or Spotify 
• Have experience with podcasts and multi-format content, including multi-camera and multi-track editing 
• Understand how to build a compelling story, write engaging titles and descriptions, and maintain viewer engagement 
• Are attentive to detail, capable of spotting and correcting imperfections, and ensuring high-quality output 
• Can combine strategic thinking with hands-on execution and manage multiple projects in a dynamic environment 
• Have B2+ English and communicate confidently in professional contexts 
• Are independent, proactive, creative, and open to feedback and growth 

What we offer: 

• London-based company, Microsoft Gold Partner and a systems integrator for businesses 
• Opportunities for self-realization and career growth 
• Qualified leadership and mature processes 
• Interesting and diverse projects 
• Friendly team that values initiative and creativity 
• Transparent payment system 
• Flexible schedule and remote work 
• Paid public holidays, annual leave, and sick leave 

How to apply: 

Send us: 

• A short description of why you are interested in this role and working with content 
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About MEGAVAST
MEGAVAST is an innovative IT company developing advanced software and code development tools that automate key stages of programming and project management. We are looking for a Stock market analyst in Kyiv — a proactive professional who will manage our investment portfolio, analyze market dynamics, and contribute to the company's financial growth.

About the Role
In this role, you’ll be responsible for monitoring global financial markets and executing investment strategies to optimize our portfolio's performance. You will combine deep analytical skills with a proactive approach to drive key investment decisions.

Key Responsibilities:

• Analysis of stock markets trends and news.
• Execution of purchase and sale transactions on the stock market.
• Optimization of trading strategies.
• Preparation of detailed analytical reports and presentations on market performance.
• Collaboration with the finance team to align trading activities with company goals.

Requirements:

• 1+ year of experience as a Stock market analyst or in a similar role.
• Knowledge of trading platforms.
• Strong understanding of financial models and valuation techniques.
• An analytical mindset and the ability to work with data.
• Proactive approach, high integrity, and accountability for results.
• Strong Intermediate English or higher.

What We Offer:

• Hybrid work format.
• Modern office in the centre of Kyiv, right next to the Olimpiyska metro station.
• Career growth opportunities.
• Competitive salary with guaranteed annual reviews and performance bonuses.
• Paid vacation, sick leave..
• Necessary equipment and tools for effective work.
• Friendly, result-driven team and regular corporate events.
   

Join MEGAVAST and take on a dynamic role that blends coordination, communication, and analytics — helping drive the success of an international IT company.

We need an AI Engineer who can work autonomously on complex agentic AI systems while contributing to our growing AI practice. You’ll work directly on client projects involving LLM agents, RAG systems, and AI model integration - not just building prototypes, but production systems that scale.
 

This isn’t a research role. This is hands-on engineering: building, deploying, iterating, and supporting AI applications that solve real business problems.
 

What You’ll Actually Do

Core Responsibilities (70% of time)

• Build agentic AI systems using LangChain, LangGraph, or similar frameworks
• Implement and optimize RAG pipelines with vector databases (PGVector, Pinecone, etc.)
• Integrate multiple LLM providers (OpenAI, Google Gemini, Anthropic Claude)
• Fine-tune models when off-the-shelf solutions don’t meet requirements
• Develop Python backends (FastAPI/Flask) that power AI applications
• Write production-quality code with tests, documentation, and proper error handling

Technical Ownership (20% of time)

• Design AI system architectures for new client projects
• Make build/buy decisions on AI tooling and infrastructure
• Conduct technical discovery with clients to understand requirements
• Estimate project complexity and technical feasibility

Team Collaboration (10% of time)

• Code reviews for junior AI engineers
• Knowledge sharing on AI patterns and best practices
• Client communication on technical approaches and trade-offs

Our Current Tech Stack 

AI/ML:

• LangChain, LangGraph for agentic systems
• OpenAI GPT-4, Google Gemini, Anthropic Claude
• PGVector for embeddings and retrieval
• Fine-tuning pipelines (OpenAI, Gemini)

Backend:

• Python 3.11+ (FastAPI primary, Flask acceptable)
• PostgreSQL with PGVector extension
• Google Cloud Run, Cloud Functions

Infrastructure:

• Google Cloud Platform (BigQuery, Cloud SQL, Cloud Run, Vertex AI)
• Firebase/Supabase for user management
• Docker for containerization

Frontend Integration:

• REST APIs consumed by React/TypeScript frontends
• Real-time capabilities (WebSockets, Server-Sent Events)

Development:

• Git/GitHub for version control
• Linear for project management
• Bolt.new for rapid prototyping (you won’t use this much)

Must-Have Skills
 

Technical Requirements

• 4+ years of professional Python development - You’ve built production systems, not just scripts. You understand design patterns, testing strategies, and code that scales.
• 2+ years building production AI/LLM applications - Real systems serving real users, not just experiments or prototypes. You’ve handled model deployment, monitoring, and iteration based on production feedback.
• Expert-level Python engineering - You write clean, maintainable, testable code. You can explain the difference between "staticmethod" and "classmethod" and actually care about it. You’ve debugged memory leaks, optimized performance bottlenecks, and know when to use async/await.
• Deep LangChain/LangGraph experience - You’ve built multi-agent systems with complex orchestration. You understand the framework’s internals well enough to work around its limitations. You’ve debugged agent loops, optimized token usage, and handled error states gracefully.
• RAG implementation expertise - You’ve built RAG systems that actually work in production. You understand chunking strategies, embedding models, hybrid search, re-ranking, and when RAG isn’t the right solution. You’ve tuned retrieval quality beyond the tutorial examples.
• Vector database expertise - PGVector, Pinecone, Weaviate, or equivalent. You’ve designed schemas, optimized queries, and handled millions of embeddings. You understand the trade-offs between different distance metrics.
• Production LLM integration - OpenAI, Anthropic, Google Gemini in real applications. You’ve handled rate limiting, cost optimization, prompt engineering, context management, and fallback strategies. You know how to debug hallucinations and improve consistency.
• Backend API development - FastAPI or Flask in production. You’ve designed RESTful APIs, handled authentication, managed database connections, implemented error handling, and written API documentation. You understand HTTP status codes and when to use which one.
• SQL and database design - PostgreSQL specifically. You write efficient queries, design normalized schemas, use indexes appropriately, and understand when to denormalize. You’ve debugged slow queries and optimized database performance.

Working Style Requirements

• Self-managed QA mindset - You write unit tests, integration tests, and think about edge cases before they become production bugs. You don’t need a QA engineer to tell you something doesn’t work.
• Pragmatic problem-solver - You prefer “simplest thing that works” over perfect solutions. You know when to refactor and when to ship. You understand technical debt is a tool, not a failure.
• Comfortable with ambiguity - Client requirements evolve mid-project. You adapt architecture without rebuilding from scratch. You ask clarifying questions but don’t wait for perfect specifications before starting.
• Strong technical communicator - You explain technical trade-offs to non-technical stakeholders. You write clear documentation. You give useful code review feedback. You can justify your architectural decisions.
• European timezone - Core hours overlap with UK (GMT/BST). You’re available for morning standups and client calls during UK business hours.