Jobs Kyiv

TJHelpers is committed to developing strong engineering teams through mentorship, real project experience, and our “Helpers as a Service” model. We provide structured growth, hands-on practice, and a supportive environment where engineers can evolve quickly and meaningfully.

We are looking for a Senior AI/LLM Data Engineer (Technical Consultant) to join our team and help design, build, and scale modern data pipelines and retrieval systems for AI-driven products in fintech, healthcare, telecommunications, automation, and other data-intensive domains.

This role is ideal for an engineer who combines strong data engineering fundamentals with hands-on experience in LLM and RAG systems and can contribute not only through implementation, but also through architecture design, technical planning, and consulting-driven engineering decisions.

Responsibilities

• Design and develop scalable data pipelines for AI/LLM products and internal data platforms 
• Build and maintain ingestion, transformation, chunking, enrichment, indexing, and retrieval workflows 
• Prepare and structure data for RAG systems, semantic search, embeddings, and LLM evaluation workflows 
• Support fine-tuning and data preparation workflows for LLM use cases 
• Work with structured, semi-structured, and unstructured data from documents, APIs, databases, and external systems 
• Design and optimize retrieval pipelines, including metadata strategies, filtering, ranking, and relevance improvements 
• Integrate LLM-based solutions with data platforms, vector storage systems, search platforms, and backend services 
• Participate in architecture design, technical planning, and engineering decision-making for AI/LLM initiatives 
• Improve system quality, scalability, reliability, observability, and cost efficiency 
• Diagnose and resolve complex issues in production AI/data environments 
• Collaborate closely with engineers, product teams, analytics, and AI teams 
• Transform business requirements into practical AI/data engineering solutions 

Requirements

• Strong commercial experience in data engineering with hands-on work building data pipelines, ETL/ELT workflows, and distributed data processing systems 
• Hands-on experience with AI/LLM systems, RAG pipelines, embeddings, semantic search, or vector search/retrieval systems 
• Strong Python and SQL skills 
• Experience working with structured, semi-structured, and unstructured data in production environments 
• Strong understanding of data modeling, data transformation, validation, and data quality practices 
• Experience designing scalable and maintainable data workflows 
• Experience with modern data platforms and tools such as Airflow, dbt, Spark, Kafka, or similar technologies 
• Experience with vector databases or search platforms such as Pinecone, Weaviate, Milvus, Elasticsearch, or OpenSearch 
• Understanding of data preparation and optimization techniques for LLM use cases, including chunking, metadata strategies, and retrieval quality improvements 
• Experience with cloud platforms such as AWS, GCP, or Azure 
• Experience with Docker, CI/CD pipelines, and production deployment practices 
• Ability to work independently, make technical decisions, and clearly communicate trade-offs and architectural choices 
• Experience participating in technical consulting, solution design, or client-facing technical discussions 
• English level: B2 or higher 

Nice to Have

• Experience with LLM evaluation frameworks, prompt pipelines, or fine-tuning workflows 
• Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks 
• Experience with reranking, hybrid search, recommendation systems, or knowledge graphs 
• Understanding of MLOps, LLMOps, observability, and experimentation workflows 
• Experience with modern data warehouse or lakehouse platforms such as BigQuery, Snowflake, Redshift, or Databricks 
• Understanding of security, governance, and privacy practices in AI/data systems 

What We Offer

• Work on real-world AI/LLM and data-intensive products 
• Opportunity to participate in architecture, technical discovery, and solution design — not only implementation 
• Collaboration with strong engineers, architects, and product teams 
• Clear growth path toward AI Architect, Data Platform Architect, or Technical Lead roles 
• Open engineering culture focused on ownership, transparency, and continuous improvement 
• Long-term projects, flexible schedule, and fully remote work opportunities

TJHelpers is committed to developing strong engineering teams through mentorship, real project experience, and our “Helpers as a Service” model. We provide structured growth, hands-on practice, and a supportive environment where engineers can evolve quickly and meaningfully.

We are looking for a Junior Data Engineer to join our team and help build and maintain reliable data pipelines, transformations, and datasets for modern products in fintech, AI, telecommunications, healthcare, and other data-driven domains.

This is a great opportunity to work with real-world data, grow in data engineering, and gain hands-on experience with SQL, Python, ETL/ELT processes, and modern data platforms.

Responsibilities

• Support the development and maintenance of data pipelines and ETL/ELT processes 
• Collect, clean, transform, and load data from databases, APIs, files, and external systems 
• Write and optimize SQL queries for data preparation and transformation 
• Assist in building datasets for analytics, reporting, and internal products 
• Support data quality, consistency, and reliability across pipelines and datasets 
• Work with structured and semi-structured data 
• Participate in troubleshooting and improving data processes 
• Assist in monitoring and improving data pipeline reliability and performance 
• Collaborate with engineers, analysts, and product teams 

Requirements

• Basic understanding of data engineering concepts and data pipeline architecture 
• Hands-on experience writing SQL queries and working with Python 
• Understanding of relational databases such as PostgreSQL or MySQL 
• Ability to write SQL queries using joins, filtering, aggregations, and transformations 
• Basic understanding of ETL/ELT processes 
• Understanding of data modeling and data transformation principles 
• Familiarity with data formats such as CSV and JSON and working with APIs 
• Basic understanding of structured and semi-structured data 
• Analytical thinking and attention to detail 

• Motivation to learn and grow in a technical environment 

   

Nice to Have

• Basic experience with Pandas 
• Basic familiarity with Spark or PySpark 
• Familiarity with Airflow, dbt, or similar tools 
• Understanding of data warehouses such as BigQuery, Snowflake, or Redshift 
• Familiarity with cloud platforms such as AWS, GCP, or Azure 
• Familiarity with Git 
• Experience with BI or analytics tools 

• Interest in data platforms, analytics engineering, or ML/AI workflows 

   

What We Offer

• Work with real production data systems and modern technologies 
• Mentorship from experienced engineers and tech leads 
• Clear growth path to Middle Data Engineer level 
• Supportive engineering culture focused on learning and practical development 
• Flexible schedule and fully remote work opportunities

We are looking for a Junior Java AQA Engineer to join our team and help build reliable automated tests for modern web products in fintech, AI, telecommunications, and healthcare domains.

This is a great opportunity to grow quickly into a strong automation engineer while working on real projects, real code, and real products under the mentorship of an experienced team.

Responsibilities

• Create and maintain automated tests for web applications using Java with Playwright and/or Selenium
• Cover key user flows with smoke and regression UI tests
• Perform API testing and backend response validation
• Analyze test results, identify issues, and create clear bug reports
• Collaborate with developers and QA engineers to improve product quality
• Participate in test case creation and gradually expand test coverage
• Support test stability and assist with debugging activities
• Continuously improve automation skills in a real project environment

Requirements

• Commercial, pet-project, internship, or freelance experience with Java for at least 6 months
• Understanding of software testing fundamentals
• Basic experience or strong interest in test automation
• Familiarity with Playwright, Selenium, or other UI automation tools
• Understanding of Page Object Model (POM)
• Basic understanding of HTML and CSS with the ability to locate web elements
• Basic knowledge of REST API concepts, HTTP methods, status codes, and JSON
• Hands-on experience with Postman for API testing and request validation
• Basic Git knowledge: commit, push, pull
• Attention to detail and motivation to write high-quality tests
• English level: B1 or higher

Nice to Have

• Experience with JUnit or TestNG
• Basic SQL knowledge
• Understanding of automation design patterns
• Familiarity with Maven or Gradle
• Basic understanding of CI/CD tools such as Jenkins or GitHub Actions
• Experience with Allure Reports or similar reporting tools
• Basic knowledge of JavaScript, TypeScript, or Python

What We Offer

• Work on real commercial projects with a modern technology stack
• Mentorship from experienced AQA engineers and tech leads
• Clear growth path to Middle AQA Engineer level
• Hands-on experience with automation frameworks and real testing processes
• Supportive team environment and regular feedback
• Flexible schedule and comfortable working conditions

Cropwise Operations is a global leader in digital agritech solutions, operating in over 50 countries and helping optimize business processes and improve the efficiency of agronomic decision-making.  

We are looking for a skilled Ruby on Rails Developer to join our team.

What we expect from a candidate:

- Preferably 3+ years of Ruby on Rails development experience.

- Strong knowledge of Rails.

- Experience with testing frameworks like RSpec and Capybara.

- Testing with RSpec/Capybara.

- Basic knowledge of ES6 + React.js.

- Experience with JavaScript.

- Standard Rails application deployment stack (Git, CI, Capistrano, *nix).

- Knowledge of HTML/CSS.

What exactly will you need to work with:

- Backend on Ruby on Rails 7.0 (Ruby 3.2).

- PostgreSQL + PostGIS database (handling large geospatial datasets).

- Job processing with Resque + Redis.

- Testing on RSpec + Capybara + CI.

- Partially frontend on React.js (ES6, JSX).

What else can you work with?

- Algorithms for processing large amounts of geodata.

- Reception and processing of binary data (Ruby eventmachine).

- Working with RabbitMQ.

- AWS, Google Cloud, Kubernetes.

- Visualization and work with geodata on the frontend (Mapbox GL JS).

Hiring process:

- Intro call;

- Test Task;

- Final Interview;

- Offer.

The company offers:

- Opportunity to be a part of a best-in-class product that is used by thousands of companies around the world.

- Participation in complex technical tasks and challenges.

- Environment where you need to seek and implement unique engineering and technical solutions.

- Trainings and development programs.

- Flexible work formats: remote, office or hybrid.

- Health and life insurance for employees and your family members.

- 32 working days of paid annual leave and sick leave.

About Cropwise Operations

Cropwise Operations is a SaaS platform for farmers, leveraging cutting-edge technologies such as computer vision, big data, and AI to deliver actionable insights and improve agricultural outcomes.

For seekers, cooperation with Cropwise Operations is an opportunity to be part of a best-in-class product used by hundreds of companies around the world, and to deal with complex technical tasks in the field of neural networks and machine learning with the need to constantly improve their knowledge and skills, to find and implement unique engineering and technical solutions.