Jobs at Djinni

About the Full Stack Tech Lead role:
As a Full Stack Tech Lead, you’ll take a central role in shaping and scaling our SaaS platform. You will be responsible for leading technical decisions, setting development standards, and guiding a small team of engineers while remaining hands-on with code. This position is ideal for a highly experienced developer who thrives on solving complex technical challenges and driving innovation, while enabling others to grow and deliver at their best.

You’ll collaborate closely with product and operations, ensuring our platform continues to evolve with high performance, scalability, and resilience.

Required Experience (Must):

• 7+ years of experience in backend or full-stack development
• At least 4 years of proven experience with Ruby/RoR in production
• Strong background in designing and implementing scalable systems
• Hands-on experience with Vue.js
• Advanced SQL knowledge and database design expertise
• Experience with CI/CD pipelines and production deployment practices
• Proven ability to mentor developers and provide technical leadership
• Strong communication skills and ability to drive cross-team collaboration

Big advantage:

• Significant experience with Python microservices (FastAPI, ML libraries)
• Deep experience with Vue.js and frontend architecture best practices
• In-depth knowledge of Elasticsearch and distributed search systems
• Advanced experience with Sidekiq or other background job frameworks
• Strong track record of working with unstructured data and data pipelines
• Proficiency with AI-assisted coding tools integrated into daily workflow

Our recruiting agency is helping a great product company find an experienced DevOps Engineer to become a key part of the team. The company builds and scales web products, including VPN solutions and billing systems, and is now looking for a professional who can ensure infrastructure stability, scalability, and automation.

What you’ll do:

• Maintain and develop VPN server infrastructure.
• Build and support high-load infrastructure for billing systems.
• Automate deployment, configuration, and server scaling processes.
• Manage and optimize CI/CD pipelines with Jenkins.
• Collaborate closely with a 10+ people development team to ensure smooth releases and stable product performance.
• Set up and maintain monitoring, logging, and alerting systems.

Requirements:

• 3–5 years of experience as a DevOps Engineer.
• Strong hands-on experience with DigitalOcean and Google Cloud.
• Solid expertise in Jenkins (CI/CD).
• Strong communication skills and ability to collaborate closely with developers.

Nice to have:

• Experience with billing infrastructure.

What’s offered:

• Location: Warsaw.
• Format: hybrid (2-3 days in office, 2-3 remote).
• Flexible working hours, full-time.
• Supportive environment with a strong engineering culture.
• Great compensation package + performance bonuses.

Who we’re looking for:

A proactive and independent DevOps Engineer who takes full ownership of infrastructure tasks, isn’t afraid of challenges, and can build and automate processes from scratch. At the same time, you’re a team player who understands that your work directly drives product success.

We are a recruitment agency helping our clients build strong and successful teams.

Now we’re looking for a PPC Manager for our long-term partner.

The company develops and promotes mobile apps & digital products, and we are considering candidates with experience in mobile marketing, SaaS, utilities, subscription-based services, and similar “white” niches.
 

This is a key role where you’ll work with large-scale budgets ($100k+/month), build a systematic performance marketing strategy, and directly influence business results.
It’s crucial to know how to optimize campaigns by CPI, ROAS, LTV, CAC and build effective user acquisition funnels tailored to the product.
 

What you’ll do:

• Launch, optimize, and scale campaigns in Google Ads (Search, Display, YouTube Ads, UAC);
• Manage budgets of $100k+/month with full performance responsibility;
• Optimize towards key metrics: CPI, CPA, ROAS, LTV, CAC;
• Run A/B tests, validate hypotheses, and improve landing pages & funnels;
• Implement automation (bid strategies, scripts, optimization rules);
• Work with analytics tools: GA, Firebase, AppsFlyer, Adjust;
• Deliver regular reports and growth recommendations.

What we’re looking for:

• 1+ year of experience as a PPC specialist;
• Strong expertise in Google Ads (Search, Display, Video, UAC);
• Proven track record of managing large budgets ($100k+/month);
• Solid understanding of KPIs: CPI, CPA, ROAS, LTV, CAC;
• Strong analytical mindset and data-driven approach;
• Nice to have: experience in mobile marketing (apps, SaaS, subscriptions).

What we offer:

• Full-time role, hybrid format: Warsaw office (2–3 days/week) + partial remote;
• Standard working schedule;
• Competitive salary + performance-based bonuses.

Want to work with scale and shape an international-level marketing system?
Apply now! 🚀

Just finished your Computer Science degree (or similar) and have little to no work experience?
Join our leading development & outstaffing company and kickstart your career with cutting-edge AI tools.

We’ll train you to work with Cursor, Lovable, Claude, n8n, and more — while gaining real experience on challenging projects with our clients in outstaff/outsourcing formats.

Your Impact

• Design and implement AI-driven applications
• Work hands-on with state-of-the-art conversational AI platforms
• Collaborate with a fast-moving, talented team
• Continuously grow your skills through real-world projects

What We’re Looking For

• Relevant degree in Computer Science or a related field, or proven practical experience
• Strong desire to learn and grow
• Exceptional self-discipline and independence
• Ability to manage tasks on your own
• Strong spoken English – a must (working with clients in Israel and the U.S.)

Nice to Have

• Experience with modern web frameworks (Vue.js, React, Next.js)
• Background in full-stack development
• Familiarity with AI assistant platforms
• Russian language skills – an advantage, as some team members from Israel are Russian-speaking
•  

Work Setup

• Schedule: Monday–Friday, 9:00 AM – 6:00 PM

Why Join Us

• Premium access to our AI/dev stack: Cursor, Claude, n8n, Lovable, and more
• Guided onboarding: we’ll teach you how to use each tool with hands-on mini-sprints
• Real-world break-in: your first practical client assignment soon after onboarding
• Clear growth path with defined milestones (Junior → Independent Contributor)
• Free access to Udemy courses to support continuous learning
• Young & Modern Work Environment

Application Process
Send us your CV along with your expected compensation. Share your story: what drives you, what you’ve built, and why AI excites you.

Recruitment Process

• Single interview only

🚀 Join Us at Stitch.ai– Senior Full-Stack Developer Wanted!

We’re a small but mighty product team building stitch.ai - an AI-powered productivity workbench that brings email, calendar, tasks, notes, contacts, and files all under one roof. Think Outlook or Gmail/Workspace — but with an AI twist that stitches everything together, surfaces relationships, and recommends the right context at the right time.

We’ve been heads down in stealth for the past few years, and now we’re gearing up for public launch. Our product is already 85% complete — feature-rich, fully working, and just waiting for the last round of feature improvements and polish. 
 

Who We Are

We’re a remote-first startup of 9 passionate builders:

• 5 senior developers
• 1 ML engineer
• 1 DevOps
• 1 PM
• 1 Janitor
   

We’re looking to add another senior full-stack developer to our crew as we push toward launch.
 

Why You’ll Love It Here

• 💻 Full-time role, full-time salary
• 🎉 Early-stage perks – opportunities for profit sharing/early employee upside
• 🌍 100% remote team (work from anywhere)
• Wide technical playground
• Engineering focused team
   

Our Playground (Tech Stack)

Angular • TypeScript • Node.js • NestJS • PostgreSQL • Elasticsearch • RabbitMQ • Redis • Docker • Kubernetes • LLM/ML … and more.

If you love working across a broad stack and aren’t afraid to get your hands dirty from front-end polish to backend scaling, you’ll feel right at home.

We’re builders. We ship. We iterate. We have fun. And we’re creating something we’re genuinely excited to use ourselves.

👉 Does this sound like your kind of challenge? Come help us stitch the future of productivity together.

👉 Salary can be further discussed for the right candidate.

Job Description

As a Senior Full Stack Developer, you will play a critical role in designing, developing, and optimizing our web applications and backend systems. You will work on both the client-side and server-side architecture, ensuring our systems are highly scalable, resilient, and secure. You will be responsible for managing complex data flows and maintaining robust microservices architecture to handle high-traffic environments and critical service requirements.

Key Responsibilities

Full-Stack Development: Design, develop, test, and deploy front-end (Angular) and back-end (Node.js, Nest.js, Express.js) applications, with a focus on performance, security, and scalability.

Microservices Architecture: Build and maintain a microservices-based architecture, ensuring each service is modular, scalable, and can handle large and complex data flows efficiently.

Database Management: Design, optimize, and maintain PostgreSQL databases to handle extensive data processing requirements while ensuring high performance and reliability.

API Development: Develop and maintain RESTful APIs that are well-documented, secure, and meet high service requirements.

Performance Optimization: Continuously monitor and improve application performance, particularly in high-traffic situations, to ensure a seamless user experience.

Code Review & Mentorship: Conduct code reviews to ensure high-quality code and mentor junior developers, promoting best practices in code quality, architecture, and design patterns.

Collaboration & Communication: Work closely with cross-functional teams, including Product, UX/UI, and DevOps, to deliver robust and user-centered solutions. Document processes and technical designs thoroughly.

Required Skills & Qualifications

Professional Experience: 7+ years of full-stack development experience, with a focus on large-scale web applications and high-traffic environments.

Proficiency in Tech Stack:

Front-End: Angular

Back-End: Node.js, Nest.js, Express.js

Database: PostgreSQL

Strong Understanding of Microservices Architecture: Experience in designing, building, and deploying microservices-based systems, with knowledge of handling complex and large data flows.

Experience with High-Traffic Applications: Proven experience in building applications that handle high-traffic loads and ensuring uptime, scalability, and performance under pressure.

DevOps & CI/CD Knowledge: Familiarity with DevOps practices, including CI/CD pipelines, automated testing, and containerization (Docker, Kubernetes) is a plus.

Problem-Solving Mindset: Demonstrated ability to tackle complex technical challenges and continuously learn and adapt to new technologies and solutions.

Preferred Skills

Cloud Platforms: Experience with AWS, Google Cloud, OVH

API Security & Authentication: Knowledge of security best practices, including OAuth, JWT, and data encryption.

Search products like ElasticSearch or OpenSearch

Data Management: Experience with caching solutions (e.g., Redis), message brokers (e.g., RabbitMQ, Kafka), and other tools for optimizing data flows.

POSITION OVERVIEW

We are looking for a QA engineer who will join us in the DashDevs QA team to contribute to the development of a biometric-based identity verification solution. We expect a new team member to work independently and proactively (look for details and answers, not just wait patiently for a reply), and be comfortable raising challenges and proposing software improvements. It is vital that you have good communication skills and a proven ability to work well with both technical and non-technical colleagues and be comfortable working with minimal supervision.

General project description 

We’re working on a next-generation identity verification and passwordless authentication platform built with a privacy-first approach. The solution integrates live biometrics, digital identity wallets, and blockchain-based architecture to ensure secure, seamless user authentication. The system encrypts and manages sensitive data using private keys, ensuring compliance with global data privacy standards and eliminating the risks of credential phishing. It’s a highly innovative and secure environment designed to redefine how digital identity is managed and protected.

The size and the structure of the team 

From DashDevs team on the client’s side, work 1 FE developer and 5 QAs (manual and automation). You will work with some of our Ukrainian colleagues QAs, as well as with QA TL and Project manager on the client’s side, who will manage your daily tasks.

YOUR BACKGROUND

• 5 years of commercial experience in Web apps testing, both E2E and API
• Experience with Program Languages (JavaScript / TypeScript) 1+ year
• Strong knowledge in QA process and methodology
• Understanding of the client-server application architecture
• Experience in the creation of test documentation (test cases, checklists, test plans)
• Experience with REST API testing
• Experience with Postman API testing and advanced scenario scripting
• Experience with GitHub
• English level - B2

Skills that will be a plus:

• Experience with Authorizations protocols (SAML, OpenID, SSL/TLS)
• Experience with Mongo DB
• Experience with Google Cloud

RESPONSIBILITIES

• Perform functional and UI/UX testing of web applications
• Perform smoke, sanity, regression, integration, E2E, acceptance testing, API testing
• Take responsibility for QA deliverables within a sprint
• Analyse and review feature requirements
• Create test documentation (test cases, checklists, bug report, test reports)
• Participate in scrum activities
• Enhance product knowledge base
• Take part in QA process improvements within a team
• Participate in verbal and written communication with the team

We are looking for a Recruiter (Screening Specialist) to join our growing team. Your primary responsibility will be to conduct screening interviews with candidates, following a structured list of questions we provide. You will also handle written communication with candidates and ensure smooth coordination throughout the early stages of the hiring process.

Responsibilities

• Conduct initial screening calls with candidates in English (using provided scripts and guidelines).
• Ask predefined questions and record candidate responses.
• Answer candidates’ basic questions about the company, role, or process.
• Assess communication skills, general fit, and motivation.
• Maintain structured notes and provide feedback to the hiring team.
• Manage ongoing communication with candidates (emails, messages, follow-ups).

Requirements

• English level B2–C1 (clear spoken and written communication).
• Proven experience in IT recruitment (understanding of tech roles, processes, and terminology).
• Strong organizational skills and attention to detail.
• Confident communicator with a professional and friendly approach.
• Ability to work independently while following company guidelines.

Nice to Have

• Experience with ATS/CRM tools (e.g., Lever, Greenhouse, Workable).
• Previous experience in fast-paced startup environments.

What We Offer

• Competitive compensation.
• Remote-first role with flexible working hours.
• Opportunity to work in a growing international tech company.
• Structured process — you won’t need to “sell” roles, just run high-quality screenings and keep communication smooth.

🌍 About Us

We are a fast-growing company in the field of Artificial Intelligence, building cutting-edge solutions for the global tech market. Our work has already been recognized worldwide — we’ve won prestigious accelerators and competitions, including Google for Startups, Techstars, TechCrunch, and NVIDIA Accelerator.

We are expanding rapidly and looking for young, motivated people who want to grow together with us, gain unique experience in the AI industry, and become part of an ambitious international team.

Support Manager in the Travel Industry

We are looking for a responsible and energetic individual to join our team as a Support Manager in the travel industry. The main task of this position is to provide prompt and high-quality support to our clients, hotels, and partners.

Responsibilities:

1. Responding to client inquiries via email and phone calls within established timeframes.

2. Understanding and promptly resolving booking issues.

3. Ensuring effective communication with hotels, partners, and other stakeholders.

4. Understanding the specifics of the travel industry and having travel experience are advantages.

Requirements:

• Experience in support or client service in the travel industry.
• High responsibility.
• Flexibility and readiness to work on weekends.
• Ability to work efficiently with computers.
• Work schedule from 6 a.m. to 3 p.m. (Kyiv time), mandatory at the computer, 7 days a week.

Role
 

As a Quant Developer you will be building our market making systems from the ground up — quoting engine, order management, execution, risk. You will work closely with our researcher and trader to turn models into production strategies. This role is central to establishing our market making infrastructure and directly drives trading results.

Responsibilities
 

- Develop and maintain market making engine

- Build and optimize connectivity to exchange APIs (OKX, Binance, Bybit)

- Ensure low-latency, reliable execution (Rust, async)

- Implement risk controls and monitoring

- Work with researchers to productionize signals

Requirements
 

- Strong skills in Rust (C++/Go acceptable)

- 3+ years of experience in building real-time / low-latency / high-throughput systems

- Knowledge of concurrency, async/await, memory management

- Familiarity with order books, trading infra is a plus

Perks
 

- Direct impact on production systems and PnL

- Performance-based bonus linked to firm’s trading profit

- Small, high-ownership team

- Remote-first

QATestLab is an international provider of independent testing services with 20+ years of experience delivering QA support across multiple industries — from eCommerce, banking, and healthcare to gaming, media, and telecom. Our service portfolio includes manual testing and test automation services for web, desktop, mobile, and cloud applications.

We are looking for an Intern QA Engineer (Game) to join our friendly team and work from the office!
 

If you completed testing courses, and have English at the Intermediate+ level — don’t waste a minute: send your CV and become part of QATestLab!
 

We expect that you:

• Have basic theoretical and practical training in software testing (testing courses, etc.)
• Have a strong Intermediate+ level of English to communicate effectively with clients and colleagues
• Are an advanced mobile devices user
• Understand the role and importance of software tester’s work in quality software creation
• Attentive to details, inquisitive, meticulous, and ready to learn non-stop
• Aspire to explore bugs in real and interesting projects
• Passionate about games and understand what quality gameplay looks like from a user’s perspective.
   

Main responsibilities:

• Test games and mobile applications
• Report bugs in the bug tracking system
• Create test cases
• Write reports about testing results
• Participate in MS Teams meetings with your team
   

We offer:

• Flexible working hours: starting from 8 to 11 AM; full-time
• Possibility to work remotely
• Decent compensation with regular reviews based on the results
• 100% reimbursement with sick leave letter, 18 days off
• Mentor support at the beginning
• Free English and QA courses
• Developed corporate culture, loyalty, and assistance programs
   

Send your resume and become part of QATestLab!

We’re looking for a motivated Junior Project Manager to join our team and help to coordinate our projects.
 

Responsibilities

• Assist in planning and coordinating web development projects to ensure they are completed on time and meet quality standards.
• Support the senior project manager in defining project scope, goals, and deliverables.
• Monitor daily tasks, track progress and ensure team members meet deadlines.
• Communicate with clients under the guidance of senior staff: address basic inquiries and provide updates on project status.
• Prepare and maintain project documentation, meeting notes, and reports.
• Help identify risks and contribute to solutions to keep projects on track.

Requirements

• Strong organisational and multitasking skills with attention to detail.
• Excellent communication and interpersonal abilities.
• Basic understanding of project management tools (e.g., Jira, Trello, Asana) or a willingness to learn.
• Familiarity with web development concepts is a plus, but not required.
• A proactive and adaptable attitude with a desire to grow professionally.
• Ability to work collaboratively in a distributed team.

Nice to Have

• Previous internship or experience in project coordination or a related field.
• Upper-intermediate level of English; Polish language skills would be an advantage.

What We Offer

• Competitive salary paid in euros and regular, on-time payments.
• Flexible working hours and 100 % remote work — you control your schedule.
• Mentorship, training and clear opportunities for career growth: we’ll help you advance to middle and senior PM levels.
• A friendly, supportive team with minimal bureaucracy and transparent areas of responsibility.
• Participation in international projects with real impact and the chance to develop alongside our team.

We are seeking a Middle Flutter Developer to join our team and contribute to the development of modern, cross-platform mobile applications. You will collaborate with product managers, designers and developers to deliver user-friendly, reliable and scalable apps.

Responsibilities

• Develop and maintain Flutter mobile applications.
• Implement new features, fix bugs and improve performance.
• Collaborate with designers and backend developers to deliver complete solutions.
• Write clean, maintainable code and participate in code reviews.
• Contribute to the continuous improvement of our processes and products.

Requirements

• 2–3+ years of commercial Flutter/Dart experience.
• Experience with state management (BLoC, Provider, Riverpod or similar).
• Hands-on experience with API integration and app navigation.
• Good understanding of Git, testing and agile workflows.
• Strong communication skills in English and the ability to work remotely in a team.

Nice to Have

• Knowledge of native iOS/Android development (Swift/Kotlin).
• Experience with GraphQL, WebSockets or offline data storage.
• Contributions to open source or a strong GitHub portfolio.

What We Offer

• Competitive compensation in USD/EUR with flexible payment terms.
• 100% remote work and flexible schedule.
• International projects with real impact.
• Supportive and collaborative team culture.
• Clear opportunities for growth and professional development.

If you are passionate about Flutter development and want to grow in a friendly, international environment, we’d love to hear from you!

Growth Automation is a Business Development & Lead Generation AI firm serving B2B companies worldwide. We’re building a team of A-players to help us positively impact the B2B business world.

We are building a team of A-players to join us on the journey to make a positive impact in the B2B business world.

That’s why we’re looking for a Billing & Invoicing Coordinator to join our team.

The Role:

The Billing & Invoicing Coordinator will be responsible for ensuring that our invoicing process runs smoothly and efficiently. This role is hourly, freelance, and part-time — only a few hours each week but requiring you to check in several times weekly.

Key responsibilities include:

• Creating and updating invoices for clients in Xero
• Monitoring outstanding balances and preparing summaries for the management team
• Communicating with clients regarding overdue payments (via email and phone)
• Following up consistently on delayed invoices and handling collections agencies when needed
• Staying organized and maintaining accurate records of invoicing activities
• Handling additional invoicing-related tasks as required
   

This role does not involve bookkeeping or accounting. It is an entry-level opportunity that does not require extensive prior experience — but strong organization, professionalism, and attention to detail are a must.
 

Requirements

• Experience using Xero invoicing (essential)
• Fluent in English (spoken and written)
• Comfortable making client calls regarding payment follow-up
• Very organized, detail-oriented, and proactive
• Reliable and able to sign in multiple times per week
• Previous invoicing or billing experience is a plus, but not strictly required
   

Hours & Compensation

• Freelance, part-time (a few hours per week, flexible schedule)
• Hourly pay, based on experience
• Remote role — work from anywhere
• Opportunity to grow with the company and take on more responsibility over time

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 focus on designing and prototyping data preparation pipelines, collaborating closely with data engineers to transform your prototypes into scalable production pipelines, and actively developing model training pipelines with other talented data scientists. Your work will directly shape the quality and capabilities of the models by ensuring we feed them the highest-quality, most relevant data possible.

Requirements:
Education & Experience:
- 3+ years of experience in Data Science or Machine Learning, preferably with a focus on NLP.
- Proven experience in data preprocessing, cleaning, and feature engineering for large-scale datasets of unstructured data (text, code, documents, etc.).
- 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.
- 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.
- 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 & Personality:
- 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.
- Ability to rapidly prototype and iterate on ideas

Nice to have:
Advanced NLP/ML Techniques:
- Familiarity with evaluation metrics for language models (perplexity, BLEU, ROUGE, etc.) and with techniques for model optimization (quantization, knowledge distillation) to improve efficiency.
- Understanding of FineWeb2 or similar processing pipelines approach.
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 text sources and data sets, or experience with multilingual data processing, 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:
- Design, prototype, and validate data preparation and transformation steps for LLM training datasets, including cleaning and normalization of text, filtering of toxic content, de-duplication, de-noising, detection and deletion of personal data, etc.
- Formation of specific SFT/RLHF datasets from existing data, including data augmentation/labeling with LLM as teacher.
- Analyze large-scale raw text, code, and multimodal data sources for quality, coverage, and relevance.
- Develop heuristics, filtering rules, and cleaning techniques to maximize training data effectiveness.
- Collaborate with data engineers to hand over prototypes for automation and scaling.
- Research and develop best practices and novel techniques in LLM training pipelines.
- Monitor and evaluate data quality impact on model performance through experiments and benchmarks.
- Research and implement best practices in large-scale dataset creation for AI/ML models.
- 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.

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 a Data Engineer (NLP-Focused) to build and optimize the data pipelines that fuel the Ukrainian LLM and NLP initiatives. In this role, you will design robust ETL/ELT processes to collect, process, and manage large-scale text and metadata, enabling the Data Scientists and ML Engineers to develop cutting-edge language models.

You will work at the intersection of data engineering and machine learning, ensuring that the datasets and infrastructure are reliable, scalable, and tailored to the needs of training and evaluating NLP models in a Ukrainian language context.

Requirements:
- Education & Experience: 3+ years of experience as a Data Engineer or in a similar role, building data-intensive pipelines or platforms. A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is preferred. Experience supporting machine learning or analytics teams with data pipelines is a strong advantage.
- NLP Domain Experience: Prior experience handling linguistic data or supporting NLP projects (e.g., text normalization, handling different encodings, tokenization strategies). Knowledge of Ukrainian text sources and data sets, or experience with multilingual data processing, can be an advantage given the project’s focus.
Understanding of FineWeb2 or a similar processing pipeline approach.
- Data Pipeline Expertise: Hands-on experience designing ETL/ELT processes, including extracting data from various sources, using transformation tools, and loading into storage systems. Proficiency with orchestration frameworks like Apache Airflow for scheduling workflows. Familiarity with building pipelines for unstructured data (text, logs) as well as structured data.
- Programming & Scripting: Strong programming skills in Python for data manipulation and pipeline development. Experience with NLP packages (spaCy, NLTK, langdetect, fasttext, etc.). Experience with SQL for querying and transforming data in relational databases. Knowledge of Bash or other scripting for automation tasks. Writing clean, maintainable code and using version control (Git) for collaborative development.
- Databases & Storage: Experience working with relational databases (e.g., PostgreSQL, MySQL), including schema design and query optimization. Familiarity with NoSQL or document stores (e.g., MongoDB) and big data technologies (HDFS, Hive, Spark) for large-scale data is a plus. Understanding of or experience with vector databases (e.g., Pinecone, FAISS) is beneficial, as the NLP applications may require embedding storage and fast similarity search.
- Cloud Infrastructure: Practical experience with cloud platforms (AWS, GCP, or Azure) for data storage and processing. Ability to set up services such as S3/Cloud Storage, data warehouses (e.g., BigQuery, Redshift), and use cloud-based ETL tools or serverless functions. Understanding of infrastructure-as-code (Terraform, CloudFormation) to manage resources is a plus.
- Data Quality & Monitoring: Knowledge of data quality assurance practices. Experience implementing monitoring for data pipelines (logs, alerts) and using CI/CD tools to automate pipeline deployment and testing. An analytical mindset to troubleshoot data discrepancies and optimize performance bottlenecks.
- Collaboration & Domain Knowledge: Ability to work closely with data scientists and understand the requirements of machine learning projects. Basic understanding of NLP concepts and the data needs for training language models, so you can anticipate and accommodate the specific forms of text data and preprocessing they require. Good communication skills to document data workflows and to coordinate with team members across different functions.

Responsibilities:
- Design, develop, and maintain ETL/ELT pipelines for gathering, transforming, and storing large volumes of text data and related information.
- Ensure pipelines are efficient and can handle data from diverse sources (e.g., web crawls, public datasets, internal databases) while maintaining data integrity.
- Implement web scraping and data collection services to automate the ingestion of text and linguistic data from the web and other external sources. This includes writing crawlers or using APIs to continuously collect data relevant to the language modeling efforts.
- Implementation of NLP/LLM-specific data processing: cleaning and normalization of text, like filtering of toxic content, de-duplication, de-noising, detection, and deletion of personal data.
- Formation of specific SFT/RLHF datasets from existing data, including data augmentation/labeling with LLM as teacher.
- Set up and manage cloud-based data infrastructure for the project. Configure and maintain data storage solutions (data lakes, warehouses) and processing frameworks (e.g., distributed compute on AWS/GCP/Azure) that can scale with growing data needs.
- Automate data processing workflows and ensure their scalability and reliability.
- Use workflow orchestration tools like Apache Airflow to schedule and monitor data pipelines, enabling continuous and repeatable model training and evaluation cycles.
- Maintain and optimize analytical databases and data access layers for both ad-hoc analysis and model training needs.
- Work with relational databases (e.g., PostgreSQL) and other storage systems to ensure fast query performance and well-structured data schemas.
- Collaborate with Data Scientists and NLP Engineers to build data features and datasets for machine learning models.
- Provide data subsets, aggregations, or preprocessing as needed for tasks such as language model training, embedding generation, and evaluation.
- Implement data quality checks, monitoring, and alerting. Develop scripts or use tools to validate data completeness and correctness (e.g., ensuring no critical data gaps or anomalies in the text corpora), and promptly address any pipeline failures or data issues. Implement data version control.
- Manage data security, access, and compliance.
- Control permissions to datasets and ensure adherence to data privacy policies and security standards, especially when dealing with user data or proprietary text sources.

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.