Jobs at Djinni

 Full Stack Developer (Node.js/TypeScript) 

Description: 

Senior Backend/Full Stack Developer 

Full-time

Long-term

Experience Level: Senior/ strong middle-level

English – high level of both speaking and writing.

Interview process:

• An interview with hiring manager

• Home assignment and after Interview + results of the home assignment

• Interview with one of the founders.

Role:

Senior Backend Developer with a proven track record of building scalable backend systems and APIs. You will play a key role in designing, developing, and maintaining our core backend services, with a focus on performance, reliability, and scalability.

Responsibilities:

● Design, develop, and maintain backend services using TypeScript, Node.js, and Python

● Architect and optimize RESTful APIs and integrate with external/internal systems

● Work with PostgreSQL, MongoDB, GraphQL to manage and optimize data models and queries

● Integrate with AI tools, generate prompts, test & evaluate prompts results (a huge adv; at least one of them)

● Implement scalable WebSocket-based communication and message queues (e.g., RabbitMQ, Redis, or similar)

● Collaborate closely with product, frontend, and data teams to deliver high-quality solutions

● Ensure smooth CI/CD pipelines and contribute to infrastructure-as-code and deployment strategies

● Drive performance tuning, security hardening, and system monitoring for backend services

● Troubleshoot complex issues and lead root cause analysis and resolution

● Write clean, maintainable, and well-tested code with a strong emphasis on quality and performance

● React js experience - big advantage

Required Qualifications

● 4+ years of backend development experience, with at least 3 years in TypeScript/Node.js

● Solid experience with Python for scripting or service-level backend components

● Strong understanding of PostgreSQL, MongoDB and GraphQL - query optimization, indexing, data modeling

● Proficiency with REST API design and best practices

● Deep knowledge of WebSocket protocols and real-time data handling

● Experience with messaging systems/queues such as RabbitMQ, Kafka, or Redis streams

● Familiarity with CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins)

● Cloud deployment experience (AWS, GCP, or Azure) with emphasis on scalability and availability

● Excellent problem-solving skills, debugging experience, and systems thinking

● Strong communication skills and ability to mentor junior engineers

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/Middle Data Scientist with a passion for Large Language Models (LLMs) and cutting-edge AI research. In this role, you will design and implement a state-of-the-art evaluation and benchmarking framework to measure and guide model quality, and personally train LLMs with a strong focus on Reinforcement Learning from Human Feedback (RLHF). You will work alongside top AI researchers and engineers, ensuring the models are not only powerful but also aligned with user needs, cultural context, and ethical standards.

Requirements:
Education & Experience:
- 3+ years of experience in Data Science or Machine Learning, preferably with a focus on NLP.
- Proven experience in machine learning model evaluation and/or NLP benchmarking.
- Advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred.
NLP Expertise:
- Good knowledge of natural language processing techniques and algorithms.
- Hands-on experience with modern NLP approaches, including embedding models, semantic search, text classification, sequence tagging (NER), transformers/LLMs, RAGs.
- Familiarity with LLM training and fine-tuning techniques.
ML & Programming Skills:
- Proficiency in Python and common data science and NLP libraries (pandas, NumPy, scikit-learn, spaCy, NLTK, langdetect, fasttext).
- Strong experience with deep learning frameworks such as PyTorch or TensorFlow for building NLP models.
- Solid understanding of RLHF concepts and related techniques (preference modeling, reward modeling, reinforcement learning).
- Ability to write efficient, clean code and debug complex model issues.
Data & Analytics:
- Solid understanding of data analytics and statistics.
- Experience creating and managing test datasets, including annotation and labeling processes.
- Experience in experimental design, A/B testing, and statistical hypothesis testing to evaluate model performance.
- 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, Ray, Dask) for scaling data processing or model training.
Communication:
- Experience working in a collaborative, cross-functional environment.
- Strong communication skills to convey complex ML results to non-technical stakeholders and to document methodologies clearly.

Nice to have:
Advanced NLP/ML Techniques:
- Prior work on LLM safety, fairness, and bias mitigation.
- Familiarity with evaluation metrics for language models (perplexity, BLEU, ROUGE, etc.) and with techniques for model optimization (quantization, knowledge distillation) to improve efficiency.
- Knowledge of data annotation workflows and human feedback collection methods.
Research & Community:
- Publications in NLP/ML conferences or contributions to open-source NLP projects.
- Active participation in the AI community or demonstrated continuous learning (e.g., Kaggle competitions, research collaborations) indicating a passion for staying at the forefront of the field.
Domain & Language Knowledge:
- Familiarity with the Ukrainian language and context.
- Understanding of cultural and linguistic nuances that could inform model training and evaluation in a Ukrainian context.
- Knowledge of Ukrainian benchmarks, or familiarity with other evaluation datasets and leaderboards for large models, can be an advantage given the project’s focus.
MLOps & Infrastructure:
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML, as well as ML workflow tools (MLflow, Airflow).
- Experience in working alongside MLOps engineers to streamline the deployment and monitoring of NLP models.
Problem-Solving:
- Innovative mindset with the ability to approach open-ended AI problems creatively.
- Comfort in a fast-paced R&D environment where you can adapt to new challenges, propose solutions, and drive them to implementation.

Responsibilities:
- Analyze benchmarking datasets, define gaps, and design, implement, and maintain a comprehensive benchmarking framework for the Ukrainian language.
- Research and integrate state-of-the-art evaluation metrics for factual accuracy, reasoning, language fluency, safety, and alignment.
- Design and maintain testing frameworks to detect hallucinations, biases, and other failure modes in LLM outputs.
- Develop pipelines for synthetic data generation and adversarial example creation to challenge the model’s robustness.
- Collaborate with human annotators, linguists, and domain experts to define evaluation tasks and collect high-quality feedback
- Develop tools and processes for continuous evaluation during model pre-training, fine-tuning, and deployment.
- Research and develop best practices and novel techniques in LLM training pipelines.
- Analyze benchmarking results to identify model strengths, weaknesses, and improvement opportunities.
- Work closely with other data scientists to align training and evaluation pipelines.
- Document methodologies and share insights with internal teams.

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.

Requirements

Core Skills

• Basic understanding of software testing principles and QA methodologies
• Familiarity with different types of testing (functional, regression, UI, exploratory, etc.)
• Knowledge of SDLC (Software Development Life Cycle) and STLC (Software Testing Life Cycle)
• Ability to create, execute, and document test cases and checklists
• Understanding of bug tracking and reporting (e.g., in ClickUp, or similar tools)
• Attention to detail and strong analytical thinking

Technical Skills

• Basic knowledge of how web and mobile applications work
• Familiarity with REST APIs and the ability to use tools like Postman
• Understanding of databases (e.g., basic SQL queries for validation)
   

Nice to Have

• Curious about automated testing, but no prior experience required

AI/ML developer. 

Проект Healthcare

На фулл тайм, лонг терм 

Англійська - Upper-Intermediate

Стек: AI LangGraph / LLM / RAG 

5+ years of professional experience in software development of medium-to-

large scale systems.

Proven experience with Python, Node.js, NestJS, TypeScript/JavaScript, React, Redis, MongoDB, Kafka, AWS, NX.

Experience with LangGraph
 

We are looking for a Reactivation Manager who will be responsible for bringing back inactive players and re-engaging them with personalized offers, campaigns, and retention strategies. Your mission is to increase player lifetime value and reduce churn through data-driven decisions and creative communication.
 

🔧 Key Responsibilities:

• Develop and execute reactivation campaigns across Email, SMS, Push, WhatsApp, and In-App channels.
• Segment lapsed players based on activity, spend, and behavior to tailor offers.
• Create personalized promotions, bonuses, and incentives to encourage player return.
• Monitor and analyze campaign performance (CTR, conversion, ROI) and optimize accordingly.
• Collaborate with CRM, VIP, and Marketing teams to align strategies.
• Stay up to date with industry trends in iGaming reactivation and retention.
   

🧠 Requirements:

• 1+ years of experience in retention, or reactivation within iGaming or entertainment.
• Strong understanding of bonus mechanics, player lifecycles, and reactivation funnels.
• Hands-on experience with CRM platforms, automation tools, and segmentation.
• Analytical mindset with ability to work with KPIs and player data.
• Creative thinking and copywriting skills for engaging offers.

• Upper-intermediate English or higher.

   

💎 Nice to Have:

• Experience specifically in online casino or sportsbook CRM.

• Knowledge of providers and popular game mechanics (slots, live casino, jackpots).

   

🚀 What We Offer:

• Competitive salary and performance-based bonuses.
• Fully remote work with flexible schedule.
• Career growth in an international iGaming company.
• Supportive and data-driven team culture.

The company is a global marketing tech company, recognized as a Leader by Forrester and a Challenger by Gartner. We work with some of the world’s most exciting brands, such as Sephora, Staples, and Entain, who love our thought-provoking combination of art and science. With a strong product, a proven business, and the DNA of a vibrant, fast-growing startup, we’re on the cusp of our next growth spurt. It’s the perfect time to join our team of ~450 thinkers and doers across NYC, LDN, TLV, and other locations, where 2 of every 3 managers were promoted from within. Growing your career with the company is basically guaranteed.

Responsibilities 
Leadership 
Context is key, as is motivation. You don't need to provide the solution to every problem, but you must make sure your team knows what their goals are, why they matter, and when we need to achieve them to fulfil our responsibility to our colleagues and clients. 
The biggest impact a team leader has is ensuring each team member understands their responsibilities and knows exactly what good looks like. Work within your team and lead by example... 
Sometimes this takes the form of being the senior developer, refining complex features into discrete stories and tasks. Other times it can be having hard conversations to ensure that we uphold high standards on everything from quality to values to office attendance. The company affords developers flexibility and ownership over their daily work, but this must be met with the respect it deserves. The Team Leader must communicate transparently and demonstrate daily the standards and behaviors we expect in return. 
Proactively identify any areas where improvements can be made, whether that is in the standards, processes, or technology in your team or the wider R&D organization. Work with your colleagues to agree the solution required and lead everyone forward to deliver. 
Subject Matter Expert 
Represent the client – immerse yourself in the product domain you are responsible for. Understand how clients use the features your team develops, what problems they are solving, and where both the industry and technology are headed. Be a vocal advocate for the users who rely on your features to do their jobs. 
Represent the team – not every colleague in Tech Org or Revenue and Customer Orgs has the same domain and technical expertise. Always keep open lines of communication for both new feature development and support inquiries and bugs. Ensure the information provided by your team is clear, concise, and shared in plain English with timescales for next steps. 
While over-communication is preferable to under-communication, our colleagues do not need to understand every problem we have solved to get to the solution. 
Senior Developer 
Most of your time on any given Tuesday afternoon (i.e. BAU) will be spent hands-on developing, collaborating, and working directly with others in the team and leading by example. Show everyone what good looks like, transparently communicating and demonstrating the standards and behaviors expected of a Senior Developer. Often this will involve refining complex features into discrete stories and tasks. 
SCRUM Master 
Run the agile process for the team. Lead the ceremonies, follow the process, and meet the Definition-of-Done. 
Use the tools in place to set the team’s priorities, update the status of all stories and tasks, and build steady, linear progress towards our goals. Lead by example and encourage developers to keep their own stories and tasks constantly updated, to avoid requests for status updates working their way up and down the chain. 
Mentor 
Leaders create more leaders. Work with your team individually to ensure their behaviors align with our values and good practice and enable them to meet their career goals via realistic expectations and an achievable 
personal development plan for everyone. 
Line Manager 
Your responsibilities include the line management and admin for your team. 
This includes regular check-ins and 1-1s, culminating in goal-setting and annual performance reviews. 
Monitor progress and provide regular feedback to help them achieve their goals. 
If you take care of the other responsibilities above and are leading by example working directly within the team, then this should only have a modest impact on time. There should be no surprises, and each team member should always be clear on what their priorities are and the expectations we have. Keep an open-door policy that team members can use for any-and-all questions arising. 
On rare occasions, this may include hard conversations where our standards, values, or just good practice are not being met. Have the courage to provide this feedback early so that corrective actions can be taken. 
The company is an ambitious, growing organization, and part of your role will include supporting our Talent Acquisition team to attract and recruit the best talent. This may involve promoting open positions and 
attending recruitment fairs and other events. You will participate in interviews to assess candidates' technical and cultural (leadership) fit for open positions across all of R&D, not just your team. 

Requirements: 
Professional Skills and Knowledge 
● Bachelor’s degree (or equivalent) in Computer Science 
● 7+ years professional software development experience 
● 2+ years as a software development team leader 
● Expert in Object-Oriented Design and Programming 
● Expert in one or more programming languages: C#, JavaScript, Java, etc. 
● Advanced knowledge in one or more frontend technologies: React, Angular. 
● Advanced knowledge in one or more database technologies: MSSQL, Snowflake, BigQuery, etc. 

Complexity & Impact 
● Lead product and technical features end-to-end, from planning and refinement to development, testing, and release. 
● Lead cross-team initiatives and contribute to improvements in collaboration and teamwork. 
● Mentor team members. 

Ownership & Autonomy 
● You will have broad authority to utilize the resources of the team in the best way possible to meet business goals and product commitments. 
● You will have a great deal of autonomy to interpret product requirements into an engineering solution which is deliverable within a reasonable timeframe to a high standard of quality. 
● You will be expected to use our available resources to ensure the feature is understood and agreed, collaborating as necessary with Product Management and UI/UX. Do not design by committee - build a consensus and communicate what will be delivered and when. 

Communication & Collaboration 
● Can build and communicate a narrative, verbally and written, from scratch and engage stakeholders on new team goals. This includes acting as the main point of contact for other teams who have dependencies for/on your team. 
● Can communicate with all disciplines in the company and adjust the message according to the audience.

What we offer:

• 20 working days’ vacation; 
• 10 paid sick leaves;
• public holidays;
• equipment;
• accountant helps with documents;
• many cool team activities.

Про компанію Gemicle

Gemicle — an innovative, highly technological company with a broad range of expertise in spheres of the development of apps, complex e-commerce projects, and B2B solutions. Qualified teams of developers, designers, engineers, QAs, and animators deliver excellent products and solutions to branded and well-known companies. Knowledge and experience of specialists in different technologies allow the company to be at the top level of IT-industry. Gemicle is a fusion of team spirit, professionalism, and dedication. Gemicle is not just a company, it’s a lifestyle.

For LuxeUp.AI we’re looking full SEO optimization. We already have a document with tasks prepared.

Tech Stack

Frontend (User Interface)

• Framework: Next.js

◦ Server-Side Rendering (SSR), Static Site Generation (SSG), Incremental Static Regeneration (ISR)

◦ TypeScript for type safety

◦ SEO features (Open Graph, structured data, dynamic metadata)

◦ Image optimization (next/image), lazy loading

• Styling: TailwindCSS

• Hosting: AWS

Backend (API & Business Logic)

• Framework: Node.js with TypeScript

◦ API development (REST/GraphQL)

◦ Serverless or traditional backend hosting (AWS)

• Headless CMS: Strapi (just the content)

◦ Custom content types for SEO

◦ Multi-language support

◦ Role-based access control

Database & Storage

• Primary Database: PostgreSQL (hosted via AWS RDS)

• Caching: Redis for fast data retrieval

• File Storage: AWS S3 / Cloudinary (for images)

Search & AI/ML

• Search Engine: Elasticsearch or Meilisearch (for product search indexing)

• AI Models:

◦ GPT-4 Turbo (for search queries and recommendations)

◦ OpenAI CLIP (for visual search) + BLIP

◦ XGBoost/Scikit-learn (for price prediction)

• Recommendation Engine: TensorFlow Recommenders / PyTorch

Infrastructure & DevOps

• Cloud Provider: AWS / GCP (Hybrid)

◦ Compute: AWS EC2/Lambda

◦ CDN: Cloudflare

◦ Logging/Monitoring: AWS CloudWatch

• Containerization: Docker

• CI/CD: GitHub Actions / Jenkins

Third-party Integrations

• Affiliate APIs: Farfetch, Vestiaire Collective, eBay, etc.

• Payment Gateway (if applicable): Stripe/PayPal

• Analytics: Google Analytics, Ahrefs, SEMrush

Security & Compliance

• HTTPS with SSL (via Cloudflare)

• OAuth 2.0 authentication for users and API access

• GDPR/CCPA compliance measures

Performance Optimization

• SEO Optimization:

◦ Dynamic XML sitemap, robots.txt

◦ Core Web Vitals improvements (LCP, FID, CLS)

• CDN Integration: Fast loading globally via Vercel/Cloudflare

We are helping an international product company find a Senior AI/ML Engineer to join their team. The company is developing an intelligent chatbot and search platform with modern AI/ML, NLP, and LLM technologies.

They are looking for a strong senior engineer with leadership mindset — someone who not only writes clean code, but also guides the team, makes architectural decisions, and can present solutions to clients.

🔧 Must-have skills:

• 5+ years of AI/ML engineering in production systems.
• Python (Pandas, NumPy, FastAPI, LangChain, etc.).
• LLMs (OpenAI, AWS Bedrock), prompt engineering.
• Vector DBs: PGVector/Postgres.
• NLP, embeddings, semantic search.
• ETL pipelines for APIs, SQL, docs, images.
• Work with unstructured data & metadata.
• Docker-based deployments.
• Understanding of role-based access & recommendations.
• Strong communication & presentation skills.

📌 Responsibilities:

• Lead technical direction, support and guide the team.
• Build ETL pipelines for structured & unstructured data.
• Work with embeddings, similarity search, vector DBs.
• Fine-tune LLMs & manage prompts for chatbot.
• Design intent detection & contextual responses.
• Collaborate on API integration, deployment, testing.
• Present solutions to clients clearly and confidently.
• Ensure scalable, maintainable, production-ready AI/ML solutions.

Mindy Support is a global provider of data collection, annotation, and curation services, partnering with leading global technology companies. 

Our mission is to deliver high-quality, ethically sourced data that fuels the next generation of AI/ML products and solutions. We combine people, process, and technology to deliver reliable data solutions at a large scale.

Role Overview
 

We are seeking an experienced Data Engineer to design, build, and optimize data pipelines and infrastructure, supporting our annotation and curation workflows. 

Beyond engineering excellence, this role requires strong client-facing skills. You will engage directly with enterprise-grade clients to gather requirements, analyze use cases, and ensure project success. You will also contribute to our internal innovation initiatives, helping shape and extend our data services offering.
 

This role is ideal for a technical leader who can and wants to act at the intersection of data engineering, client engagement, and innovation.

For the right candidate, this position offers a clear growth path to a technical leadership role at the organizational level.

Key Responsibilities
 

• Data Engineering & Infrastructure
  
   
  • Design, build, and maintain robust ETL/ELT pipelines for diverse data sources (text, image, audio, video) both on our and clients’ infrastructures. 
  • Develop scalable data processing systems to support data collection/generation, curation, and labeling workflows.
  • Ensure data quality, security, and compliance across projects.
  • Optimize storage, retrieval, and transformation processes for performance and cost efficiency.
    
     
• Client Engagement & Project Coordination
  
   
  • Participate in requirements elicitation, translating client needs into technical solutions.
  • Collaborate with our project managers and operations team to align engineering solutions with project goals.
  • Help clients to build proper Data Governance frameworks
  • Communicate technical aspects, risks, and dependencies to clients and internal stakeholders.
    
     
• Leadership & Innovation
  
   
  • Provide technical leadership to our cross-functional team.
  • Drive innovation initiatives to extend our portfolio of data services (e.g., automation tools, quality assurance workflows, synthetic data pipelines, advanced analytics etc.).
  • Stay up to date with industry trends in Data Engineering, Data Science and overall developments of Generative AI/Agentic AI/Physical AI

Qualifications

• 5+ years in data engineering, with at least 2 years in a senior or lead role;
• Strong proficiency in Python, SQL, and one or more big data frameworks (Spark, Beam, Flink, etc.);
• Experience with cloud platforms (preferably AWS) and data warehouse solutions (BigQuery, Snowflake, Redshift or similar);
• Knowledge of data modeling, pipeline orchestration (Airflow, Prefect, Dagster), and API integration;
• Familiarity with unstructured data processing (text, image, audio, video);
• Advanced to Fluent English;
• Excellent communication and stakeholder management abilities;
• Strong analytical and problem-solving mindset;
• Proven track record in collaborating with clients and cross-functional teams.
  
   

Would be an advantage:

• Experience in data annotation field
• Prior involvement in innovation or R&D initiatives
• Relevant professional certifications
• Experience working with American Big Tech (Apple / Google / Amazon / Meta / Microsoft / NVIDIA / OpenAI / Anthropic / Palantir or similar companies)
  
   

What We Offer

• Opportunity to work with leading global technology companies shaping the future of AI
• A dynamic environment that values innovation, experimentation, mutual trust and respect
• Career growth pathways into company-wide technical leadership
• Competitive compensation and benefits package
• Flexible remote work arrangement
   

The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is… Wait, it’s nothing! The number of projects is growing, and with them, our team too. And now we need a Middle/Senior Data Engineer.
 

Requirements:

• 4+ years of experience as a Data Engineer;
• Completed Data Engineering Professional certification;
• Minimum 2 projects delivered with hands-on experience in development on Databricks;
• Experience in Apache Spark Programming with Databricks;
• Experience with Azure cloud;
• Upper-Intermediate English level.

We are seeking an experienced Senior Algo Quant Developer to join our innovative and fast-paced team, working to enhance our Algorithmic Trading Platform.

In this role, you will be instrumental in the architecture, development, and optimization of high-performance algorithmic trading strategies and systems. You will collaborate closely with quantitative researchers and engineers, implementing advanced algorithmic solutions to execute trades across global financial markets with minimal latency and maximal efficiency.

The ideal candidate has a solid background in algorithmic trading, quantitative finance, and high-performance computing, combined with expert-level skills in Python or Golang and distributed systems.

Project Stack

- Python, Java, Go, Rust
- Pandas, NumPy, FastAPI
- Kafka, gRPC
- PostgreSQL, Redis, ClickHouse
- Docker, Kubernetes, Ansible, Vault
- Prometheus, Grafana, ELK
- AWS, Linux

Requirements

- 5+ years of experience developing algorithmic trading systems or quantitative trading infrastructure.
- Expert proficiency in Python or Golang and significant experience developing low-latency systems.
- Solid understanding of algorithmic trading concepts including market microstructure, order book dynamics, execution strategies, and quantitative modelling.
- Proven expertise in developing, optimizing, and maintaining algorithmic trading engines and infrastructure.
- Strong experience with SQL and relational databases (Postgres, MySQL, etc.).
- Deep understanding of distributed systems, concurrency, and performance optimization.
- Ability to troubleshoot complex performance issues and identify root causes effectively.
- Strong knowledge of software engineering best practices, including rigorous testing and clean, maintainable code.
- Experience working in a startup environment.

Good to have

- Proficiency in additional programming languages: Java, Go, Rust, Scala.
- Hands-on experience with messaging and streaming frameworks (Kafka, RabbitMQ).
- Practical experience with column-oriented databases: ClickHouse, Vertica, Snowflake.
- Familiarity with NoSQL and distributed coordination systems: Redis, Zookeeper, Consul.
- Experience in cloud infrastructure and DevOps practices (AWS, Docker, Kubernetes).
- Previous mentoring or leadership experience.

Responsibilities

- Architect, develop, and enhance scalable, highly performant algorithmic trading systems and infrastructure.
- Optimize trading algorithms for minimal latency and maximal throughput.
- Collaborate with quantitative researchers to implement, test, and deploy advanced algorithmic strategies.
- Continuously improve system stability, scalability, and availability.
- Engage in R&D, exploring cutting-edge technologies to enhance trading capabilities.
- Maintain rigorous standards for coding, testing, and deployment processes.
- Mentor and support junior team members, fostering a culture of technical excellence and continuous learning.
- Proactively identify and implement improvements across the trading platform.

Terms

- Minimal bureaucracy, direct communication, and rapid decision-making processes.
- Opportunity to lead technological innovation in algorithmic trading with substantial impact on investment strategies.
- Collaborative, innovative, and dynamic working environment.

About Us
At Speed & Function, we’ve been creating custom web and mobile applications since 2006 – but our real mission goes beyond technology. We believe in a regenerative approach to building teams: every hire should not only fit our needs but also make the whole system – people, culture, and company – stronger than before.
Our culture is built on DDO (Deliberately Developmental Organization) principles: we treat growth as a daily practice, and we see recruitment as the first step in that journey.

Your Mission
As our Senior IT Recruiter, you’ll do more than fill roles. You’ll take charge of hiring, turning recruitment into a force that strengthens our people, our culture, and the way we work together.

 

What You’ll Do

• Manage full-cycle recruitment for IT roles – from sourcing to offer stage.
• Use creative and human-centered sourcing methods (LinkedIn, networking, communities, referrals).
• Build authentic connections with candidates, focusing on long-term relationships, not just transactions.
• Partner with hiring managers to design roles that allow people to grow and contribute meaningfully.
• Keep our talent pipeline alive with diverse, skilled, and motivated professionals.
• Take charge of recruitment processes, making sure they’re consistent, high-quality, and easy to scale.
• Introduce new tools, approaches, and metrics to strengthen how we hire.
• Act as a partner and advisor for hiring managers, bringing market insights and recruitment best practices.
  
   

What We’re Looking For

• 4+ years of experience in IT recruitment (agency or in-house).
• C1 English – comfortable with global communication.
• Strong people skills, empathy, and curiosity about people’s stories.
• Able to handle multiple tasks without losing a personal touch.
• Experience in driving recruitment initiatives and process improvements.
• A proactive mindset with a passion for creating lasting impact.
  
   

What We Offer

• Work with a diverse, international, and growth-oriented team.
• A regenerative workplace culture: feedback, learning, and mutual support are part of the job.
• Flexibility – both in schedule and location.
• Opportunities to develop your professional and personal skills continuously.
• Competitive USD-based salary.
• A chance to shape not just individual hires, but the whole recruitment approach.
• The chance to influence how our culture evolves.

WHO WE ARE 💫

Hi, we’re BetCare.

Our company specializes in multilingual customer care where we put heavy focus on sales, conversion, and customer reactivation strategies. Our clients are primarily from Europe, Canada, and Australia, so we operate in licensed markets globally.

Our team members’ strongest skills are Positive Language, Care and Sales. Our approach to every contact is to provide an excellent service experience in order to open up the customer to a sale.

WHO WE ARE LOOKING FOR 😎

We are seeking a highly motivated and organized KYC & Payments Manager with at least an Upper-Intermediate level of English proficiency and a minimum of 1 year of proven experience in a similar role. In this role, you will be working with customer verification and payout requests, processing documents, and communicating with payment providers. 
 

The ideal candidate has a proven track record in a similar role, excellent communication and leadership skills, and a strong customer-focused mentality. Experience in customer support would be a huge benefit. 
 

We value: respect, transparency, commitment, responsibility, and attention to detail.
We despise: dishonesty in any form, exaggerated snobbism, and unprofessional work ethics.

MAIN RESPONSIBILITIES 🦾

• Request and verify customer documents in accordance with industry regulations and security standards.
• Process payouts in compliance with existing terms and conditions, utilizing various payment methods.
• Monitor transaction success to ensure timely receipt of funds.

• Collaborate closely with the support team, payment processors, and service providers to deliver optimal customer satisfaction.

   

A FEW MUSTS ❗

• Proven experience of at least 1 year in a comparable position 
• Be fluent in written and spoken English (this is the official office language).
• Be interested in iGaming and increasing your tech knowledge.

WHAT WE OFFER 💎

• Hybrid work format - ability to attend the office in Lviv city center (which is absolutely pet-friendly 🐶).
• Comprehensive onboarding program, which will help you to facilitate your seamless integration into projects and enhance your adoption of best practices. (It is fully paid after successful completion).
• Diverse paid times off: Vacation, Recreation days, Birthday off, Sick leaves.
• Presents and bonuses from the company.

Can you relate to this? If your answer is "Hell Yes", contact us here!

Client: A large international company in the online sports and entertainment industry, one of the market leaders with many years of experience and millions of active users worldwide. We are constantly growing and implementing cutting-edge technologies to enhance customer engagement and experience.
Hybrid mode - 3 days at office. 
Responsibilities

• Lead and coordinate daily operations of a large-scale Sportsbook call center (200+ employees) across multiple departments: inbound/outbound support, VIP support, complaints, fraud prevention, transaction processing, and back-office operations.
• Build, mentor, and develop a strong leadership team (managers, supervisors, team leads) to ensure consistent performance across all units.
• Develop and oversee workforce planning, scheduling, and resource allocation to ensure 24/7/365 coverage, especially during global peak periods (major sporting events).
• Define and monitor strategic KPIs: SLA, customer satisfaction (CSAT, NPS), response time, first contact resolution, cost-per-contact, agent productivity.
• Drive continuous process optimization, automation, and digitalization (self-service tools, AI chatbots, omnichannel platforms).
• Ensure in-depth product knowledge of betting platforms, odds markets, sports disciplines, and responsible gaming principles across all teams.
• Implement and refine customer service standards, quality assurance processes, escalation protocols, and compliance frameworks (KYC, AML, GDPR).
• Collaborate closely with Risk, Payments, Marketing, CRM, and Product teams to address complex cases (escalations, fraud risks, regulatory issues).
• Represent the call center at executive level — prepare reports, insights, and strategic recommendations for C-level management.
• Manage vendor/outsourcing partners, ensuring alignment with company policies and service excellence.
• Foster a culture of customer-centricity, accountability, and high performance across all levels of the organization.

Requirements

• 5+ years of experience managing large-scale call centers (200+ FTE), preferably in Sportsbook, iGaming, fintech, or other high-volume, regulated industries.
• Proven track record in building and scaling multi-department customer service operations.
• Strong leadership and people management skills: experience in managing managers, supervisors, and large teams.
• Advanced technical proficiency: CRM, VoIP, ticketing/WFM systems, reporting dashboards, and familiarity with omnichannel customer service tools.
• Deep knowledge of regulatory requirements: KYC, AML, responsible gaming.
• Strong analytical mindset, data-driven decision-making, and ability to optimize cost vs. quality balance.
• Excellent communication skills; ability to influence and align with C-level stakeholders.
• Willingness to work flexible hours (evenings, weekends, holidays) aligned with global sporting event calendars.

What We Offer

• Strategic leadership role in a global-scale call center operation.
• Full-time employment; hybrid or in-office format in Kyiv.
• Competitive salary + performance-based annual bonuses.
• Social benefits package (medical insurance, corporate training, recreation).
• Career development in a leading international iGaming company.
• Opportunity to shape and scale one of the most dynamic customer support operations in the industry.

We’re a small but dynamic web design and digital marketing agency based in Brussels. We help clients grow their online presence with a creative, personal touch—and we’d love someone friendly and organized to join our team.

What You’ll Do

You’ll be the go-to person for our projects, keeping everything running smoothly:

• Manage web projects – From kick-off to launch, you’ll coordinate between clients, designers, and developers, making sure deadlines are met and everything looks great.
• Write and edit content – Help craft clear, engaging website copy and blog content.
• Community management – Plan social media calendars, create visuals (with Canva or Adobe), write captions, and track performance.
• Be the client connection – Build strong relationships, answer questions, and make sure clients feel supported.

What We’re Looking For

• Strong French & English writing and speaking skills (French is a must!)
• Experience managing digital projects (websites, campaigns, or similar)
• Social media know-how (Facebook, Instagram, LinkedIn, etc.)
• Comfortable with Canva or Adobe tools
• Knowledge of SEO and web writing basics
• Organized, proactive, and comfortable juggling multiple projects

Why Join Us

• Fully remote, flexible hours
• Work on international projects with a friendly, passionate team
• Opportunity to grow and take on more responsibility over time
• Varied, creative projects—no two days are the same