Jobs at Djinni

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.

Nice to have:
- Advanced Tools & Frameworks: Experience with distributed data processing frameworks (such as Apache Spark or Databricks) for large-scale data transformation, and with message streaming systems (Kafka, Pub/Sub) for real-time data pipelines. Familiarity with data serialization formats (JSON, Parquet) and handling of large text corpora.
- Web Scraping Expertise: Deep experience in web scraping, using tools like Scrapy, Selenium, or Beautiful Soup, and handling anti-scraping challenges (rotating proxies, rate limiting). Ability to parse and clean raw text data from HTML, PDFs, or scanned documents.
- CI/CD & DevOps: Knowledge of setting up CI/CD pipelines for data engineering (using GitHub Actions, Jenkins, or GitLab CI) to test and deploy changes to data workflows. Experience with containerization (Docker) to package data jobs and with Kubernetes for scaling them is a plus.
- Big Data & Analytics: Experience with analytics platforms and BI tools (e.g., Tableau, Looker) used to examine the data prepared by the pipelines. Understanding of how to create and manage data warehouses or data marts for analytical consumption.
- Problem-Solving: Demonstrated ability to work independently in solving complex data engineering problems, optimizing existing pipelines, and implementing new ones under time constraints. A proactive attitude to explore new data tools or techniques that could improve the workflows.

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.

We are looking for a Senior Python Developer who can become a part of our team and with whom we will grow together. Meduzzen is a team of Ukrainian developers who are working mostly on outstaff and outsource models, so, as a part of this team, you will work on projects with different domains and technologies. We are open for smart and very stable developer who can become a great addition of our progressive team and strengthen it. We accept Ukrainian developers who is currently abroad or in Ukraine. 

Requirements: 
- from 4 years of professional experience as a back-end or full-stack developer

- strong knowledge in Python (Django/DRF, FastAPI, Flask, PostgreSQL, etc.)

- experience with front-end frameworks (React, Vue, Angular, experience with React Native will be a plus)
- familiarity with clouds (AWS, Azure, GCP)
- good English skills (from Intermediate)
- understanding of AI tools and Web3 also will be a plus

- team worker

- availability of UpWork profile (but it is not necessary) 

What we offer 
- working with us as an agency
- remote work and flexible schedule 
- career development: take courses
- English lessons 
- paid vacation and sick-leave days

Hiring steps: intro, technical interview or test task, meeting with CTO, offer. 

If everything mentioned below is about you - so please apply.

Thanks for your time, let’s make cool development together!
 

PIN-UP Global is an international holding specializing in the development and implementation of advanced technologies, B2B solutions and innovative products. We provide certification and licensing of our products, providing customers and partners of the holding with high-quality and reliable solutions.

We are looking for a SEO Manager to join our team!

Requirements:
- Proven SEO experience (3+ years);

- Deep technical SEO expertise,

- Experience in the betting/sports/e-commerce industry;

- Ability to manage multiple projects simultaneously;

- Deep knowledge of white-hat and black-hat SEO methods;

- Experience with large project launches from scratch;
- Extensive experience managing and optimizing multilingual websites

- Experience working with AI-generated content;

- Ability to work with AI tools (prompt creation, effective usage for SEO tasks);

- Skills in delegating tasks to junior specialists;

- Strong task prioritization skills.

Will be your plus:
- Experience with Product SEO;

- Ability to set short and mid-term goals and organize team efforts to achieve them;

- Business metrics understanding;

- Proven cases of recovering websites after Google updates.

Responsibilities:
- Competitor analysis and market research;

- Launching new projects (full SEO cycle: strategy, budget, semantics, content, on-page optimization, internal linking, link-building plan);

- Conducting a technical SEO audit of the website, providing technical recommendations and guidelines for the website developer;

- Searching for new ways to attract traffic, offering suggestions to improve the conversion rate of the existing traffic;

- Monitoring key performance indicators and providing regular progress reports.

Our benefits to you:

☘️An exciting and challenging job in a fast-growing holding, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more
🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed
🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided
🏖Paid vacations, sick leave, personal events days, days off
💵Referral program — enjoy cooperation with your colleagues and get the bonus
📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
🎯Rewards program for mentoring and coaching colleagues
🗣Free internal English courses
✈️In-house Travel Service
🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, PIN-UP clubs for movie / book / pets lovers and more
🎳Other benefits could be added based on your location

PIN-UP Global is an international holding specializing in the development and implementation of advanced technologies, B2B solutions and innovative products. We provide certification and licensing of our products, providing customers and partners of the holding with high-quality and reliable solutions.

We are looking for a SEO Manager to join our team!

Requirements:
- Basic knowledge of SEO principles and best practices;

– Understanding of search engine algorithms and ranking factors;

– Familiarity with keyword research and on-page optimization;

– Familiarity with linkbuilding;

– Ability to work with basic SEO tools (Google Search Console, Ahrefs, Google Trends, etc.);

– Strong attention to detail and willingness to learn;

– Ability to follow guidelines and complete tasks on time;

– At least 6 months of experience as a Junior SEO Specialist in an agency environment in the betting/sports/e-commerce industry.

Responsibilities:
- Competitor analysis and market research;

- Launching new projects (full-cycle SEO work: strategy, budget, keyword research, content, on-page optimization, internal linking, and link-building roadmap);

- Conducting technical SEO audits of websites, providing technical recommendations and guidance for developers;

- Identifying new ways to drive traffic and suggesting improvements to increase conversion rates;

- Monitoring key performance indicators (KPIs) and providing regular progress reports.

Our benefits to you:

☘️An exciting and challenging job in a fast-growing holding, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more
🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed
🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided
🏖Paid vacations, sick leave, personal events days, days off
💵Referral program — enjoy cooperation with your colleagues and get the bonus
📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
🎯Rewards program for mentoring and coaching colleagues
🗣Free internal English courses
✈️In-house Travel Service
🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, PIN-UP clubs for movie / book / pets lovers and more
🎳Other benefits could be added based on your location

WE ARE

SoftServe is a global digital solutions company, headquartered in Austin, Texas, and founded in 1993.

With 2,000+ active projects across the USA, Europe, APAC, and LATAM, we deliver meaningful outcomes through bold thinking and deep expertise. Our people create impactful solutions, drive innovation, and genuinely enjoy what they do.

The AI and Data Science Center of Excellence (CoE) is SoftServe’s premier AI/ML hub, primarily based in Europe. With 130+ experts—including data scientists, research analysts, MLOps engineers, ML and LLM architects — we cover the full AI lifecycle, from problem framing to deployment.

In 2024, we delivered 150+ AI projects, including over 100 focused on Generative AI, combining scale with measurable impact.

We are a 2024 NVIDIA Service Delivery Partner and maintain strong collaborations with Google Cloud, Amazon, and Microsoft, ensuring our teams always work with cutting-edge tools and technologies.

We also lead Gen AI Lab — our internal innovation engine focused on applied research and cross-functional collaboration in Generative AI.

In 2025, a key area of innovation is Agentic AI — where we design and deploy autonomous, collaborative agent systems capable of addressing complex, real-world challenges at scale for our clients and internally.

IF YOU ARE

• Experienced in Generative AI and natural language processing (NLP), working with large-scale transformer models and generative pre-trained LLMs like GPT-4, Claude, and Gemini
• Knowledgeable about the latest advancements in diffusion models and other generative frameworks for text and image generation
• Adept at applying advanced deep learning techniques to practical use cases
• Well-versed in emerging trends and breakthroughs in machine learning, deep learning, and NLP, with a strong focus on their real-world applications
• Proficient in working with state-of-the-art pre-trained language models like GPT-4 and BERT, including fine-tuning for specialized tasks
• Aware of the software development lifecycle for AI projects and the operationalization of machine learning models
• Experienced in deploying AI solutions on major cloud platforms
• Hands-on with Python and deep learning frameworks such as TensorFlow or PyTorch
• Skilled in interpersonal communication, analytical reasoning, and complex problem-solving
• Capable of translating technical concepts into clear, concise insights that non-technical audiences can easily grasp
• Proficient in business communication in English at an upper-intermediate level
   

AND YOU WANT TO

• Work with the full stack of data analysis, deep learning, and machine learning model pipeline that includes deep analysis of customer data, modeling, and deployment in production
• Choose relevant computational tools for study, experiment, or trial research objectives
• Drive the development of innovative solutions for language generation, text synthesis, and creative content generation using the latest state-of-the-art techniques
• Develop and implement advanced Generative AI solutions such as intelligent assistants, Retrieval-Augmented Generation (RAG) systems, and other innovative applications
• Produce clear, concise, well-organized, and error-free computer programs with the appropriate technological stack
• Present results directly to stakeholders and gather business requirements
• Develop expertise in state-of-the-art Generative AI techniques and methodologies
• Grow your skill set within a dynamic and supportive environment
• Work with Big Data solutions and advanced data tools in cloud platforms
• Build and operationalize ML models, including data manipulation, experiment design, developing analysis plans, and generating insights
• Lead teams of data scientists and software engineers to successful project execution

TOGETHER WE WILL

• Be part of a team that's shaping the future of AI and data science through innovation and shared growth.
• Advance the frontier of Agentic AI by shaping intelligent multi-agent ecosystems that drive autonomy, scalability, and measurable business value.
• Have access to world-class training, cutting-edge research, and collaborate with top industry partners.
• Maintain a synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environments
• Communicate with the world-leading companies from our logos portfolio
• Enjoy the opportunity to work with the latest modern tools and technologies on various projects
• Participate in international events and get certifications in cutting-edge technologies
• Have access to powerful educational and mentorship programs
• Revolutionize the software industry and drive innovation in adaptive self-learning technologies by leveraging multidisciplinary expertise

About the Client and Product:
Our client provides one of the world’s leading online video platforms, designed to power live streaming, online presentations, virtual conferences, events, tutorials, and training sessions. Leveraging advanced browser-based video capture technologies, the platform supports thousands of simultaneous viewers during live events.

Built with state-of-the-art video pipeline technologies—similar to those used by leading organizations like Amazon Video and Netflix—the platform encodes and streams millions of minutes of video content annually, making it a key player in the digital video space.

About the Role:
We are looking for a GenAI Engineer to design, develop, and deploy generative AI solutions. You will work with product teams to integrate AI capabilities, improve automation, and enhance user experiences.

Responsibilities:

• Build, fine-tune, and deploy AI models and pipelines.
• Design scalable AI solutions for text, code, image, or multi-modal generation.
• Evaluate and optimize model performance.
• Collaborate with cross-functional teams on AI integration.

• Mentor junior engineers and share best practices.

   

Requirements:

• 3–7 years of software engineering experience.
• Hands-on experience with AI/ML models, including generative AI.
• Strong software design and problem-solving skills.
• Clear communication and teamwork abilities.

• Upper-Intermediate English or higher. 

   

Preferred:

• Experience with chatbots, content generation, or AI assistants.

• Familiarity with LLMs, embeddings, or retrieval-augmented generation.

   

We Gladly Offer:

• Work in a flexible, Agile, multinational team where innovation and collaboration drive success.
• An opportunity to leverage your skills and experience to build state-of-the-art software products while expanding your expertise in cutting-edge technologies.
• Access to training and continuous learning opportunities to grow your skill set and stay ahead in the evolving tech landscape.
• The chance to work with leading global clients across industries and gain domain expertise in AWS and cloud-based solutions.
• A modern office located in the city center, providing a dynamic and inspiring workspace.
• Flexibility to work both remotely and on-site, allowing you to balance professional and personal commitments effectively.

About the role:

We are looking for Web UA Manager to join our team for our new fast-growing AI-powered web project MySpicy.ai, focused on AI virtual dating experience.

Your Impact

• Take ownership, manage, and optimize paid campaigns across Facebook Ads, Google Ads, TikTok
• Analyze campaign performance, test hypotheses, and scale successful strategies
• Collaborate cross-functionally with product, creative, and analytics teams to align acquisition goals
• Launch campaigns, write briefs, troubleshoot issues, and dive into data as needed
• Identify new growth opportunities and continuously improve conversion funnels
• Monitor and manage acquisition spend to meet performance KPIs

Requirements

• 3+ years of experience in web user acquisition, performance marketing, or growth marketing
• Proven track record running Facebook and Google Ads with strong ROI
• Strong understanding of subscription-based monetization models
• Experience with multiple quiz set-ups
• Analytical mindset with experience in A/B testing
• Experience with budgets 100k+ monthly
• Familiarity with tools like Google Analytics, Meta Ads Manager, and performance tracking platforms
• Comfortable working independently in a fast-paced, remote environment

What We Offer

• A passionate, skilled team with zero bureaucracy — just results
• Competitive salary that lets you focus on your work and personal growth
• Professional development: access to courses, workshops, and a corporate library
• 20 days of paid vacation, health insurance, and regular sports activities
• A collaborative culture: team buildings and fun events inside and outside the office

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.

Who are we looking for?

We are looking for an "independent fighting unit" who is ready to join our Team and start working together on our projects immediately or after training.

Tasks?

Your tasks will focus on the skills and expectations listed below and the use of new approaches and technologies.

Why did the job open?

We want to invite a new specialist to the company's staff due to the increase in the number of projects and the opening of a branch.

Requirements:

- B1 English (Upper-Intermediate)+

- At least 2+ year of commercial experience with JavaScript

- At least 2+ years of commercial experience with Node.js

- Experience with Typescript, Nest.js

- Experience with RDBMS and NoSQL databases

- Experience with implementing automated testing platforms and unit tests

- Experience with REST/GraphQL

- Experience with cloud services such as AWS, GCP or Azure

- Experience with CI/CD processes

- Experience in integrating with external APIs

- SOLID understanding of object-oriented programming

- Flexibility and ability to adapt to changes

- Ability to work closely with Product Managers and Engineering Team-members

Good to have:

- Experience with Unit/E2E testing

- Understanding design, and architecture principles

- Experience with message brokers, like RabbitMQ, SQS, etc

- Experience with JS web-frameworks React/Vue/Angular etc

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

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

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

Requirements:

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

Will be a plus:

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

Responsibilities:

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

Intern Front-End Developer (Angular is a MUST)

Are you passionate about frontend development and ready to take your first steps in a real-world project environment? Join our internship program and grow your skills in Angular, TypeScript, and modern web development!
 

For this internship, you need to have:

— Good knowledge of JavaScript/TypeScript;
— Basic practical skills in Angular 12+;
— In-depth theoretical knowledge of HTML/CSS/SCSS, including (Flex/Grid);
— In-depth understanding of Git and RestAPI;
— Analytical mindset;
— Ability to collaborate effectively in a team;
— Intermediate+ English level (both written and spoken).
 

Preferred to have:

— Understanding of TypeScript basics (union types, generic types);
— In-depth knowledge of Angular: understanding basic principles (RxJS operators, Directives/Pipe, Routes, Detection Strategy), a good understanding of Lifehooks in Angular.
 

About the project:

Our tool helps non-technical specialists create AI agents in CrewAI for business tasks using the Google Sheets interface, bypassing direct coding work in CrewAI.
 

Our selection process includes:

— HR interview;
— Tech interview;
— Final interview with the founders of the company.
 

We offer:

— Internship schedule: Monday to Friday, 10.00–19.00
— Office-based / remote work;
— No time trackers or other bureaucratic measures;
— Practical experience on internal projects;
— Networking with experienced professionals willing to share their knowledge and experience;
— Opportunity to obtain a contract with HYS Enterprise as a Junior specialist.
— Gifts for birthdays and professional holidays;
— Interaction with experienced professionals willing to share their knowledge;
— Participation in internal and external events.

While all CVs will be carefully reviewed and added to our talent pool, we will be in touch directly with candidates whose experience/knowledge best aligns with our current opportunities. Thank you for your understanding and interest in our company!

We’re a growing team —  no overcomplicated processes. Just people building something big and moving fast. Our COO is looking for a right hand, an Operations Manager who will bring structure, speed, and clarity into the business.

This is your chance to be at the center of execution: not following a system, but helping create it. If you thrive in fast-moving environments where ownership is real and impact is visible, this role is for you.

What you’ll do

• Keep projects on track, unblock teams, and drive follow-ups.
• Turn data into crisp dashboards & one-pagers.
• Run meetings that matter — agendas, notes, action owners.
• Coordinate across teams & partners, keep everyone aligned.
• Build SOPs & playbooks so processes scale.
• Use AI/automation to boost efficiency.

You are

• 1+ year in ops/assistant/project roles (startup = plus).
• Detail-obsessed, structured, proactive.
• Confident English (B1+).
• Solid with Google Workspace/Excel.
   

What We Offer
 

• Competitive salary with quarterly growth opportunities based on performance
• 30 business days of paid time off
• Flexible working hours focused on results (no micro-management)
• Clear career progression paths in a fast-growing company
• Full support for professional development, training, and education

• A friendly and collaborative team culture built on mutual support and open communication

  
   

👉 Not just an ops job. A launchpad.

About the role

We are building a revolutionary system at the frontier of technology and AI.

As a Software Engineer, you won’t just write code — you will shape the future of how apps are built. You’ll be part of the early execution engine—shipping core capabilities, refining the experience, and elevating reliability. Expect tight loops, clear ownership, and visible impact. You will engage directly with first clients, adapt the platform to their needs, and set the stage for the next generation of software creation.

What we’re looking for

We want someone who doesn’t just “fit the role” but defines it:

• Open-minded explorer — ready to try bold ideas, new approaches, and cutting-edge tools.
• Hacker mindset & problem solver — able to connect the dots across complex systems and find elegant solutions.
• Analytical & resilient — thrives in debugging intricate, interconnected architectures.
• Startup speed enthusiast — comfortable hacking fast, shipping early, learning from feedback, and polishing later.
• Experienced in Cursor or Claude Code.
• Passionate about vibe-coding  — turning AI into your engineering team-mate.
• Natural leader — with the drive to inspire and guide people.

Why join us?

• Be among the first engineers driving a bold, world-changing vision.
• Work at the bleeding edge of technology and AI, where experimentation is not just allowed but expected.
• Direct influence on product.
• A chance to build something that reshapes how things get done in today’s world.
• A team that values curiosity, creativity, and the pure joy of hacking together the future.

This isn’t just another job. This is your chance to engineer the future of software itself.

Technical stack

Core technologies:

• TypeScript, React.js, Next.js
• ClickHouse, PostgreSQL, Redis
• Docker / Kubernetes
• Kafka
• Supabase, Inngest, Posthog

Nice to have:

• Vue.js
• Python
• Go
• Ruby

Hiring Process

Stage 1: Interview with HR (1h).

Stage 2: Interview with VP of Engineering.

Stage 3: Technical assignment.

Stage 4: Tech. Interview

Stage 5: Interview with the team.

What we offer for your success

• Very warm and friendly working environment and flexible working schedule.
• 20 days off + paid national holidays, and 12 sick days paid by the company per year.
• Medical insurance, and health protection programs (with COVID-19 and dental coverage).
• Continuous professional development and growth opportunities.

What you will do:

— Provide high-level support to premium players via LiveChat and email;
— Handle complex requests related to payments, bonuses, technical issues, and in-game situations;
— Personally assist key players, helping them navigate the platform;
— Monitor player activity history, engagement, account settings, and VIP program status;
— Escalate issues to internal teams (payments, tech support, backend).

What we expect:

— 1+ years in Customer or VIP Support;
— Excellent communication skills: attention to detail, empathy, and clear, professional language;
— Stress resistance and the ability to work with demanding clients;
— English proficiency at B2 level or higher;
— Confident use of CRM and ticketing systems; strong technical literacy;
— Native knowledge of Russian or Ukrainian language.

What we offer:

— Remote work, 5/2 schedule;
— Payments in USDT (white crypto);
— Fixed salary 1000$ + performance-based bonuses (KPI) after onboarding period;
— Access to Gemini Advanced;
— Training and support from an experienced international team;
— Opportunity for growth within the project.

Dataforest is looking for a DevOps Engineer eager to grow professionally and work on international projects. You will support and improve infrastructure, set up CI/CD processes, and collaborate closely with the client team.

     Requirements:

• 2+ years of experience as DevOps;
• Experience with SQL, DB configuration;
• Experience with Airflow;
• Deep understanding of Linux/Unix;
• Experience with Source Control (Git, Bitbucket);
• Experience with AWS Cloud;
• Experience with CI/CD (Github);
• Understanding of Container Concepts (Kubernetes, Docker);
• Experience with Nginx;
• Strong logical thinking and problem-solving skills;
• Proactive approach and ability to take initiative;

• English — Intermediate or higher.

   

  Nice to have:

• Experience with Airflow;

• Experience with ETL pipelines.

   

  Key responsibilities:

• Cover the DevOps needs of a dev team;
• Support existing environments in both on-prem and cloud;
• Detect existing product infrastructure issues and vulnerabilities;
• Build ETL procedures;

• Implement best practices and standards for development.

   

  We offer:

• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Comfortable, spacious, and well-equipped office in the city center;
• Team building activities, corporate events.