Jobs Data & Analytics

The next decade of legal services will be run by AI agents. We're building the front door for the law firm of the future.
 

50+ firms run their phone and web intake on us today. Lean team, profitable, no VC. We're hiring the first AI Engineer to own the systems that make our agents actually work in production.
 

What we do
 

Lexidesk is an AI receptionist for law firms. Voice + web chat. We answer the phone 24/7, qualify the lead, book the consultation, transfer the call when it matters.

Real intake, real calls, real revenue.
 

Every law firm we onboard gets a custom AI agent, built and tuned for their practice areas, their qualification criteria, their booking rules, their transfer logic. That tuning is the product.
 

What you'll do
 

You'll own the AI side of every customer. Most of the work is prompt engineering, building, debugging, and improving the prompts that drive every conversation our agents have.
 

• Build new AI agents for every law firm we onboard, listen to how they take intake today, then design the prompts, tools, and flows that replicate it better.
• Debug live agents.
• Run test suites against every prompt change before it ships
• Listen to real call transcripts daily, find patterns across firms, propose product improvements
• Own the prompt library and the patterns that make our agents reliable at scale
• Work directly with me (Ivan, founder) on every meaningful product call
   

You'll talk to law firm owners and lawyers, learn how legal intake actually works, and turn that into prompts that ship.

Most days will be prompts and transcripts. Some days you'll write small scripts, automations, or tools to make the work faster, being able to code is a real plus, but not required.
 

Who we want

• AI-native. You use Claude, ChatGPT, or Cursor for everything. You've built your own automations. You instinctively reach for AI before reaching for documentation.
• Surgical mindset. When something breaks, you find the smallest possible fix. You hate rewrites. You like elegant, minimal changes that solve the actual problem.
• Pattern matcher. You notice the same bug across 5 different prompts and spot the underlying cause. You build mental models fast.
• Detail-obsessed. You read transcripts carefully. You catch the missing comma, the contradictory instruction, the off-by-one logic error.
• High agency. You don't wait for tasks. You see what needs to be done and do it end-to-end.
• C1+ English, you'll be on calls and reading transcripts daily.
   

Background can be anywhere, engineering, paralegal, ops, support, customer success, science PhD. Real prompt engineering work matters more than job titles. If you've shipped agents that real people use, we want to talk.
 

What we offer

• Direct line to me. No middle management, no committee.
• Real customers from day one. Every prompt you write goes live with paying firms.
• The technical core of an AI-native company at the inflection point. Profitable, growing, and you'll be the person who owns how our agents behave at scale.
• Wherever, whenever you work, we care about results, not hours.

Job Description

Familiarity with Google Cloud Platform, including BigQuery, Cloud Composer (Airflow), Compute Engine, and Monitoring.
Strong proficiency in Python, including experience in building, testing, and deploying robust ETL/ELT pipelines in production
Experience developing data quality frameworks, including automated tests, cross-dataset validations, and anomaly detection across diverse data assets
Advanced SQL skills, including data modeling (star/snowflake/3NF), optimization, and writing performant queries tailored to BigQuery’s slot-based execution model
Solid working knowledge of DBT, including incremental models, testing, documentation, and advanced features like custom macros
Demonstrated ability to optimize BigQuery workloads through partitioning, clustering, materialized views, and cost-aware development practices
Experience working with ETL orchestration tools, ideally Cloud Composer or similar frameworks (Kestra, Dagster, etc.).
Hands-on experience consuming and managing APIs for data extraction.
Exposure to Site Reliability Engineering (SRE) best practices, including ticket triage, incident management, and documenting runbooks/SOPs
Familiar with Git and modern software development workflows, including pull requests and code reviews
Comfortable working in an agile team environment, with the ability to multitask and reprioritize based on changing project needs
Clear and effective communication skills, with the ability to engage technical and non-technical stakeholders alike

Job Responsibilities

Designing, building, and maintaining scalable, reliable data pipelines using Python,SQL, DBT, and Google Cloud Platform (GCP) services like BigQuery and Cloud Composer.
Contributing to the development and evolution of our data quality framework, ensuring robust automated testing and cross-dataset validation across all critical data assets
Writing and optimizing advanced SQL to power data models, analytics, and reporting pipelines, with a focus on performance and efficiency within BigQuery
Developing and maintaining DBT models, including testing, documentation, incremental loading strategies, and the creation of reusable macros
Supporting day-to-day incident and ticket resolution, including root cause analysis and documentation of runbooks/SOPs to drive platform reliability
Working with APIs and external data sources to extract, normalize, and integrate new datasets into the platform
Participating in agile ceremonies (stand-ups, retros, planning), contributing to sprint goals and helping support the wider team objectives
Actively contributing to code reviews, documentation, and peer learning - helping to raise engineering standards and share knowledge within the team
Monitoring system health and pipeline performance using GCP-native tools and dashboards, and proactively identifying opportunities for cost or performance optimization

Bonus points for

GCP Data Engineer certification
Prior experience in media, marketing, or digital advertising analytics
Experience implementing data quality frameworks and governance tools
Familiarity with cost optimization strategies for BigQuery and other GCP services

Department/Project Description

The client is transforming its global data infrastructure to deliver faster, more scalable, and more intelligent analytics capabilities. As part of this journey, we're hiring a Data Engineering to manage the technical delivery and operational resilience of our core data platform.

This role sits at the intersection of engineering leadership, platform reliability, and architecture - helping us ensure that data flows are healthy, scalable, and ready for production. You’ll work across project delivery, production support, and platform enhancement initiatives while mentoring a growing team of engineers.

Project Description

The client is transforming its global data infrastructure to deliver faster, more scalable, and more intelligent analytics capabilities. As part of this journey, we're hiring a Data Engineering to manage the technical delivery and operational resilience of our core data platform.

Job Description

- Familiarity with Google Cloud Platform, including BigQuery, Cloud Composer (Airflow), Compute Engine, and Monitoring.
- Strong proficiency in Python, including experience in building, testing, and deploying robust ETL/ELT pipelines in production
- Experience developing data quality frameworks, including automated tests, cross-dataset validations, and anomaly detection across diverse data assets
- Advanced SQL skills, including data modeling (star/snowflake/3NF), optimization, and writing performant queries tailored to BigQuery’s slot-based execution model
- Solid working knowledge of DBT, including incremental models, testing, documentation, and advanced features like custom macros
- Demonstrated ability to optimize BigQuery workloads through partitioning, clustering, materialized views, and cost-aware development practices
- Experience working with ETL orchestration tools, ideally Cloud Composer or similar frameworks (Kestra, Dagster, etc.).
- Hands-on experience consuming and managing APIs for data extraction.
- Exposure to Site Reliability Engineering (SRE) best practices, including ticket triage, incident management, and documenting runbooks/SOPs
- Familiar with Git and modern software development workflows, including pull requests and code reviews
- Comfortable working in an agile team environment, with the ability to multitask and reprioritize based on changing project needs
- Clear and effective communication skills, with the ability to engage technical and non-technical stakeholders alike

Job Responsibilities

- Designing, building, and maintaining scalable, reliable data pipelines using Python,SQL, DBT, and Google Cloud Platform (GCP) services like BigQuery and Cloud Composer.
- Contributing to the development and evolution of our data quality framework, ensuring robust automated testing and cross-dataset validation across all critical data assets
- Writing and optimizing advanced SQL to power data models, analytics, and reporting pipelines, with a focus on performance and efficiency within BigQuery
- Developing and maintaining DBT models, including testing, documentation, incremental loading strategies, and the creation of reusable macros
- Supporting day-to-day incident and ticket resolution, including root cause analysis and documentation of runbooks/SOPs to drive platform reliability
- Working with APIs and external data sources to extract, normalize, and integrate new datasets into the platform
- Participating in agile ceremonies (stand-ups, retros, planning), contributing to sprint goals and helping support the wider team objectives
- Actively contributing to code reviews, documentation, and peer learning - helping to raise engineering standards and share knowledge within the team
- Monitoring system health and pipeline performance using GCP-native tools and dashboards, and proactively identifying opportunities for cost or performance optimization

Bonus points for

GCP Data Engineer certification
Prior experience in media, marketing, or digital advertising analytics
Experience implementing data quality frameworks and governance tools
Familiarity with cost optimization strategies for BigQuery and other GCP services

As a Business Analyst / Solution Engineer, your core mission is to transform business needs into scalable and practical technical solutions. This role goes beyond traditional business analysis. We are looking for someone who can deeply understand business problems, design implementation approaches, leverage AI tools in daily work, and effectively communicate technical solutions to developers. You will act as a bridge between business and engineering, not only documenting requirements but also proactively designing solutions, workflows, integrations, and system behavior.
 

What you will do

• Collaborate with stakeholders to gather, analyze, validate, and refine business needs;
• Transform business requests into clear technical solution approaches and implementation concepts;
• Design end-to-end workflows, integrations, automations, and product logic;
• Use AI tools (especially Claude Code and similar assistants) to accelerate analysis, solution design, prototyping, and documentation;
• Evaluate and mitigate risks associated with project requirements and technical implementation;
• Advocate for stakeholders' needs and priorities;
• Work closely with developers, QA team, and product stakeholders to ensure high-quality and scalable software solutions;
• Communicate effectively with engineers and be able to explain technical logic, flows, and expected behavior;
• Participate in solution discovery, system decomposition, and technical discussions;
• Analyze existing systems and propose improvements, optimizations, and automation opportunities.

Requirements

• 5+ years of experience in Business Analysis, Solution Engineering, or related roles;
• Strong technical mindset with the ability to think in systems, workflows, and implementation approaches;
• Ability to independently design solutions based on high-level business requests;
• Experience working closely with developers and understanding software architecture principles;
• Practical experience using AI tools in daily work, especially Claude Code and similar AI-assisted development tools;
• At least Upper-Intermediate proficiency in both written and spoken English;;
• Proficiency in eliciting and documenting business requirements;
• Ability to break down large and complex tasks into simple and manageable components;
• Ability to describe implementation logic and algorithms for developers;
• Ability to model and prototype interfaces in Figma or similar tools;
• Experience integrating with third-party systems (APIs, file exchange, webhooks);
• Experience using Jira, Trello, browser Developer Tools, Figma, Postman, Slack, and graphic editors;
• Confident understanding of various file formats (CSV, JSON, XML);
• Basic knowledge of SQL;
• Ability to model processes and data using UML diagrams;
• High level of mastery of Google Workspace or Microsoft Office tools.

 Nice to have:

• Development background or hands-on coding experience;
• Understanding of system architecture and backend processes;
• Experience working in AI-first or automation-driven environments;
• Experience with low-code/no-code tools and AI-assisted workflows.
   

Soft skills

• Strong analytical mindset with exceptional problem-solving abilities;
• Solution-oriented thinking with the ability to proactively propose approaches, not only identify problems;
• Self-reliance and autonomy in work;
• Effective interpersonal and cross-cultural communication;
• Ability to operate in fast-changing and ambiguous environments;
• Results-oriented with a focus on achieving goals and delivering outcomes.

About Orgmeter

OrgMeter is deal-flow, tracking and reporting software to help take your merchant cash advance business to the next level

Company website:

orgmeter.com 

As a Business Analyst / Solution Engineer, your core mission is to transform business needs into scalable and practical technical solutions.
This role goes beyond traditional business analysis. We are looking for someone who can deeply understand business problems, design implementation approaches, leverage AI tools in daily work, and effectively communicate technical solutions to developers. You will act as a bridge between business and engineering, not only documenting requirements but also proactively designing solutions, workflows, integrations, and system behavior.
 

What you will do

• Collaborate with stakeholders to gather, analyze, validate, and refine business needs;
• Transform business requests into clear technical solution approaches and implementation concepts;
• Design end-to-end workflows, integrations, automations, and product logic;
• Use AI tools (especially Claude Code and similar assistants) to accelerate analysis, solution design, prototyping, and documentation;
• Evaluate and mitigate risks associated with project requirements and technical implementation;
• Advocate for stakeholders' needs and priorities;
• Work closely with developers, QA team, and product stakeholders to ensure high-quality and scalable software solutions;
• Communicate effectively with engineers and be able to explain technical logic, flows, and expected behavior;
• Participate in solution discovery, system decomposition, and technical discussions;
• Analyze existing systems and propose improvements, optimizations, and automation opportunities.

Requirements

• 4+ years of experience in Business Analysis, Solution Engineering, or related roles;
• Strong technical mindset with the ability to think in systems, workflows, and implementation approaches;
• Ability to independently design solutions based on high-level business requests;
• Experience working closely with developers and understanding software architecture principles;
• Practical experience using AI tools in daily work, especially Claude Code and similar AI-assisted development tools;
• At least Upper-Intermediate proficiency in both written and spoken English;
• Proficiency in eliciting and documenting business requirements;
• Ability to break down large and complex tasks into simple and manageable components;
• Ability to describe implementation logic and algorithms for developers;
• Ability to model and prototype interfaces in Figma or similar tools;
• Experience integrating with third-party systems (APIs, file exchange, webhooks);
• Experience using Jira, Trello, browser Developer Tools, Figma, Postman, Slack, and graphic editors;
• Confident understanding of various file formats (CSV, JSON, XML);
• Basic knowledge of SQL;
• Ability to model processes and data using UML diagrams;
• High level of mastery of Google Workspace or Microsoft Office tools.
   

 Nice to have:

• Development background or hands-on coding experience;
• Understanding of system architecture and backend processes;
• Experience working in AI-first or automation-driven environments;
• Experience with low-code/no-code tools and AI-assisted workflows.

• Experience in CRM/Fintech.

   

Soft skills

• Strong analytical mindset with exceptional problem-solving abilities;
• Solution-oriented thinking with the ability to proactively propose approaches, not only identify problems;
• Self-reliance and autonomy in work;
• Effective interpersonal and cross-cultural communication;
• Ability to operate in fast-changing and ambiguous environments;
• Results-oriented with a focus on achieving goals and delivering outcomes.
   

About Orgmeter

OrgMeter is deal-flow, tracking and reporting software to help take your merchant cash advance business to the next level

About us

Rewire Solutions builds AI and cloud-based solutions for international clients. We are looking for motivated engineers of different levels to join our remote team.

We offer

• Remote work
• B2B contract
• Flexible schedule
• International projects
• Long-term cooperation

Requirements depend on level.

Client is looking for specialists from Junior to Senior level.

Required experience

• Experience with AI tools and LLM platforms
• Claude AI / ChatGPT / Gemini / other AI systems
• Building AI chat solutions
• AI agents and multi-agent workflows
• Prompt engineering
• AI automation
• API integrations
• Experience with modern AI ecosystems

Nice to have

• LangChain / LlamaIndex
• Vector databases
• OpenAI Assistants API
• RAG systems
• AI copilots
• Workflow automation
• Cloud AI infrastructure

Send us:

• CV
• Portfolio
• Short intro about yourself on English

Required skills:
— Experience with LLMs (OpenAI, Claude, LLaMA or similar)
— Experience building RAG systems (knowledge bases, embeddings, retrieval)
— Hands-on experience developing AI solutions in production
— Strong Python skills (FastAPI / async / API integrations)
— Experience integrating AI with databases (PostgreSQL)
— Experience with message queues (RabbitMQ)
— Understanding of real-time system architecture
— Experience with ASR (speech-to-text) and TTS (text-to-speech)
— Understanding of voice/chat AI pipeline architecture
— Experience working with APIs and microservice architecture
— Experience with high-load systems
— 3+ years of experience
— Ability to work with business logic and real client data

Nice to have:
— Experience building voice bots (inbound / outbound)
— Experience in call centers / fintech / collections
— Experience with WebRTC / streaming
— Docker / Kubernetes
— Experience in call analysis (agent scoring, script compliance monitoring)

Responsibilities:
— Develop AI chat systems working with real client data (CRM, history, statuses)
— Build RAG systems based on company knowledge bases
— Develop voice AI bots (inbound and outbound calls)
— Integrate AI with internal systems (CRM, ERP, APIs)
— Implement dialogue logic based on business scripts and protocols
— Analyze calls: transcription, quality scoring, detection of script deviations
— Automate call center operations and improve agent efficiency
— Optimize latency and stability of AI solutions in real-time environments
— Work with large volumes of data (calls, chats, customer history)
— Build and develop internal AI services for the company
— Collaborate with backend and DevOps teams to integrate AI into products

We are looking for an AI/ML Engineer to build and scale AI-powered solutions for real-world use cases. This is a hands-on role focused on developing agentic systems, RAG pipelines and production-grade LLM integrations.

Requirements

• 4+ years of commercial development experience 
• Strong experience with LLM-based systems (RAG, agents, tools)
• Ability to design end-to-end AI architecture (data → retrieval → response)
• Experience with evaluation pipelines (golden datasets, metrics, LLM-as-judge)
• Solid understanding of prompt engineering and iteration
• Experience working with databases (Postgres) + vector search
• Understanding of data processing, PII detection, and safe data handling
• Familiarity with fine-tuning approaches (LoRA/QLoRA) and when to use them
• Ability to review and validate AI-generated code
• Strong engineering mindset (scalability, reliability, structured thinking)

Responsibilities

• Build AI-powered features using LLMs (Claude, OpenAI, etc.)
• Develop and optimize RAG pipelines
• Create AI agents and autonomous workflows
• Fine-tune and adapt ML/LLM models for specific use cases
• Integrate AI solutions into products via APIs
• Collaborate with the team and clients to deliver production-ready solutions

We offer

• Flexible working hours
• 20 working days paid vacation and 15 sick leaves
• Fully paid medical insurance
• English classes in the office
• No time trackers — ability to do quality work
• Friendly team and enjoyable working environment

About the role

We are sourcing a senior payments engineer for a US fintech client running a number of card tokenization deployments. The work centers on Mastercard Digital Enablement Service (MDES) and Visa Token Service (VTS) integrations — payment credential tokenization, lifecycle management, network certification, and supporting infrastructure for fintech rollouts.

This is not a generic "fintech experience" role. We are specifically looking for engineers who have shipped MDES or VTS in production, ideally at a card issuer, processor, or BaaS platform.

What you will work on

Card network tokenization flows (MDES and/or VTS) Token provisioning, lifecycle, and de-tokenization Network certification and compliance work Integration with card management systems, HSMs, and issuer/processor APIs Cross-functional work with payments product, risk, and infrastructure teams

Required

5+ years in payments engineering Production experience with MDES or VTS (not adjacent, not "exposure" — actual ship-to-prod work) Strong backend engineering (Java, Go, Python, or Node.js depending on stack) Familiarity with PCI DSS scope, HSM integration patterns, tokenization standards Comfortable working directly with a US-based product team in their working hours (some overlap required)

Nice to have

Background at Mastercard, Visa, Marqeta, Galileo, Stripe Issuing, Adyen, Thredd, GPS, Worldpay, Fiserv, or a similar issuer/processor/BaaS EMV / 3DS / ISO 8583 working knowledge Experience with Apple Pay / Google Pay / Samsung Pay provisioning flows Card issuing background (BIN sponsorship, KYC integrations, dispute flows)

Engagement details

Start: ASAP (within 2-3 weeks of selection) Duration: Multi-deployment scope, initial commitment 3-6 months with strong likelihood of extension Mode: Embedded full-time (40h/week) or senior project consulting (20-30h/week) depending on your availability Working hours: Some overlap with US Eastern timezone required (at least 3-4 hours)

How to apply

Reply with your CV and a short note covering:

1. The specific MDES or VTS production work you have shipped (network, issuer, processor, what role you played)
2. Your current availability and earliest possible start date

Thank you. 

We are looking for an experienced freelance developer to join an ongoing project for an international client. The role focuses on designing and building intelligent agent systems powered by large language models, alongside contributing to broader AI and Data Science initiatives.

Important!

This role involves some travel to the Netherlands to collaborate closely with the client, run in-person consulting sessions at the WeAreBrain office in Amsterdam, and occasionally visit the client’s office. Candidates must have the flexibility and ability to travel within Europe.

About the role You will work on both client-facing projects, designing LLM-powered agents, building the data infrastructure that supports them, and helping keep AI systems reliable in production. You'll collaborate directly with cross-functional teams, so strong communication skills are essential. The engagement is project-based 

Key responsibilities

·       Python software development across client and internal projects related to AI and Data Science

·       Design and implement LLM-powered AI agents, including agent configuration and prompt engineering

·       Build and maintain data pipelines that feed and support AI systems

·       Collaborate with cross-functional teams to define requirements and deliver features

·       Stay current with emerging AI frameworks, tools, and technologies

·       Contribute to monitoring and troubleshooting AI systems in production

Required skills and experience

·       Proficiency in Python, including async patterns, API integration, and production-quality code

·       Demonstrable experience designing and shipping LLM-powered agents (please share examples or repos)

·       Hands-on experience with frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI, or similar

·       Solid understanding of prompt engineering, RAG pipelines, and tool/function calling

·       Experience building and maintaining data pipelines (e.g. Airflow, Prefect, Dagster, or equivalent)

·       Familiarity with vector databases and embeddings

·       Comfortable working in cross-functional teams and translating business requirements into technical solutions

·       Fluent professional English (written and spoken) – mandatory

Nice to have

·       Experience with multi-agent systems or agentic workflows in production

·       Background in MLOps, observability, or deploying LLM systems at scale

·       Experience with cloud platforms (AWS, GCP, or Azure)

·       Exposure to evaluation frameworks for LLM applications

Не просто код, а твій вплив на мільйони українців

Nova Digital — це технологічне серце екосистеми NOVA, де твій код стає частиною щоденного життя цілої країни.

Про масштаб наших сервісів:

• 50+ млн запитів щодня проходять через наші системи
• 10+ млн активних користувачів покладаються на наші рішення

Ми будуємо не просто продукт — ми створюємо технологічну інфраструктуру, яка об’єднує людей, бізнеси та можливості вже майже по цілому світу.

• Виявлення та аналіз бізнес-вимог
• Формалізація технічних вимог, User Story, опис бізнес-процесу у форматі діаграм BPMN, UML
• Супровід завдання від аналізу бізнес-вимог замовника до фінального приймального тестування бізнес-замовником
• Деталізований технічний опис та постановка завдань розробникам/дизайнерам/тестувальникам, контроль наповнення та утилізації беклогу
• Постійна комунікація та взаємодія з бізнес-замовниками та командою розробки разом із ПМ
• Оптимізація чинних процесів
• Ведення та актуалізація документації до своїх задач/проектів
• Пост-релізна підтримка
• Спілкування із зацікавленими сторонами проекту

• Досвід роботи на посаді бізнес- або системного аналітика від 3-х років
• Знання та використання найкращих практик управління вимогами, бізнес- та системного аналізу
• Вміння професійно описати технічні та бізнес-вимоги продукту
• Досвід роботи з Jira, комунікації з командою розробки/тестування в рамках реалізації бізнес-вимог
• Відмінні навички міжособистісного спілкування, здатність знайти спільну мову з технічними спеціалістами
• Розуміння сучасних веб-технологій / клієнт-серверної архітектури
• Вміння орієнтуватися у гайдлайнах та підходах різних фронтенд-фреймворків та дизайн-патернів
• Знання SDLC
• Знання та досвід у методологіях розробки програмного забезпечення
• Практичні навички роботи з API- запитами та їх опису

Nice-to-have:

• Вища технічна освіта

Чому експерти різних напрямів працюють з нами:

Технологічно:

• Високонавантажені системи з реальними викликами масштабування

• Сучасний стек та свобода технологічних рішень

• Можливість впливати на архітектуру продуктів, якими користуються мільйони

Професійно:

• Менторство від сеньйорів з досвідом enterprise-рішень

• Разом будуємо інновації, що працюють для мільйонів

Ідейно:

• Продукт, що змінює країну — не просто ще один стартап

• Тут команди стають драйверами технологічних змін

Benefits:

• Компенсація додаткових витрат, пов'язаних з робочими завданнями, здійснюються до внутрішніх політик компаній.

• Добровільне медичне страхування та страхування життя.

• Корпоративні знижки від партнерів NOVA.

• Підтримка ментального здоров'я. Можливість безоплатних консультацій з корпоративним психологом.

• Соціальна відповідальність та волонтерський рух “Свої для своїх”.

• Клуби за інтересами: біговий, шаховий та інші ініціативи для натхнення.

• Соціальні відпустки та компенсації відповідно до КЗпП України.

Наступний крок за тобою. Ми  чекаємо на знайомство — залишилось лише отримати твоє резюме.

Очікуваний термін відповіді — до 10 робочих днів.

Our Mission and Vision

At Solidgate, our mission is clear: to empower outstanding entrepreneurs to build exceptional internet companies. We exist to fuel the builders — the ones shaping the digital economy — with the financial infrastructure they deserve. To achieve that, we’re on a bold path: to become the #1 payments orchestration platform in the world.

We believe the future of payments is shaped by people who think big, take ownership, and bring curiosity and drive to everything they do. That’s exactly the kind of teammates we want on board.

About the Team and Role

As a Junior Operational Analytics Specialist, you’ll work on Chargebackhit — technology that protects online businesses from fraud and chargebacks. The product is mature but runs with the energy of a startup: things evolve fast and decisions are made quickly.

This role puts you at the heart of product operations — connecting services, monitoring performance, and working with data that protects merchants in real time. It’s an ideal opportunity to kick-start your analytics career in fintech.
 

What you’ll own

— connecting, testing, and monitoring the operation of chargeback prevention services
— working with the database
— active interaction with other teams: Analytics, Sales, and Account Management
— processing analytical requests from our clients
 

You’re a great fit if you have

— Bachelor’s or Master’s degree (completed or in progress) in analytics, programming, mathematics, or a related field
— Strong command of SQL and Excel
— Analytical thinking and problem-solving mindset
— Clear, structured communication skills
— English level Upper-Intermediate (B2) or higher
 

Why Solidgate?

— No internships here — we build careers. Get hands-on from day one and make a real impact.
— Your work = real outcomes. Shape how global companies move money.
— Grow like crazy. Learn from top fintech pros and level up faster than anywhere else.
— Flex your schedule. Balance studies and work with flexible hours that fit your life.
— Enjoy the ride. A wow office in Kyiv center, daily lunches, snacks, team buildings, and a learning budget to keep you growing.
 

💌 The Extras: 30+ days off, unlimited sick leave, free office meals, health coverage, and Apple gear to keep you productive. Courses, conferences, sports and wellness benefits — all designed for ideas, focus, and fun.

Tomorrow’s fintech needs your mindset. Come build it with us.

Uklon — продуктова IT-компанія, що розробляє провідний райд-хейлінг сервіс. Щодня потужна команда Uklon прокачує одну з найбільших інфраструктур на ринку України та за її межами, забезпечуючи взаємодію драйверів та райдерів.

Ми створюємо highload продукт, за яким ховаються амбітні технологічні челенджі, безперервні інновації та неочевидні ходи. Наш фреймворк роботи — тестувати нові гіпотези, пушити свої ідеї та використовувати останній стек технологій.

Приєднуйся до нас у ролі Senior Data Research Analyst до команди Data Research and BI.

Hiring process:
Знайомство, інтерв’ю з командою, зустріч для виконання тестового завдання та фінальне інтерв’ю.

Що ми пропонуємо саме для цієї ролі:
• приєднатися до data analytics-команди та працювати над бізнесовою частиною аналітики
• роботу з одним з найсильніших брендів країни, з рівнем впізнаваності понад 90% в Україні
• працювати в компанії, що входить до міжнародної групи VEON, представленої у сферах телекомунікацій, фінтеху, мобайлу, стримінгу, healthcare тощо
• участь у розвитку продукту, яким сам користуєшся та бачиш результати своєї роботи та який на рівних конкурує з загальновідомими світовими брендами
• впливати на бізнес результати компанії, що обслуговує понад 7 млн українців
• можливість професійного зростання та прокачати свій skillset з новими технологіями для роботи з Big Data (DBT, Snowflake, та ін) з командою аналітиків та однодумців
• можливість брати участь в розвитку компанії на нових ринках
• комфортний процес планування навантажень з мінімальною кількістю ad-hoc запитів
• всі необхідні ресурси та інструменти для реалізації сміливих та креативних ідей
• регулярний performance та salary review
• річний бонус при виконанні цілей компанії
• культуру компанії, в якій кожен є значущим і цінним та має вплив на процеси

Як саме ти можеш впливати на розвиток компанії:

• консолідація та аналіз інформації з внутрішніх джерел даних (DWH) в частині клієнтів/ замовлень/екосистемних продуктів
• підготовка, формування та автоматизація операційної звітності в Tableau
• аналіз даних з метою отримання важливої інформації, нових інсайтів (data mining)
• пошук закономірностей та пояснення подій за допомогою даних
• Ad-hoc запити від колег із різних відділів компанії та С-level
• систематизація та візуалізація даних
• побудова та стандартизація метрик

• успішно пройти онбординг, розібратись з аналітичним середовищем, існуючими даними та звітами
• оволодіти практиками вирішення типових завдань
• зібрати та систематизувати вимоги по новому напрямку екосистемної аналітики, сформувати беклог
• запропонувати перші необхідні метрики та побудувати перші звіти по екосистемі

• досвід щоденної роботи Data Analyst від 3 років
• високий рівень володіння SQL для запиту даних (віконні функції, групування даних), використання на щоденній основі must have
• володіння одним з інструментів BI (Tableau - перевага/ClickView/PowerBI або ін)
• наявність загальномаркетингової експертизи: розуміння попиту, пропозиції, воронки, клієнтської аналітики (когортний, RFM аналіз тощо)
• досвід побудови та стандартизації метрик (створення нових метрик, зміна логіки, валідація існуючих)
• володіння Python для роботи з big data
• знання Excel/Google Sheets на просунутому рівні

We are looking for an AI/ML Engineer to build and scale AI-powered solutions for real-world use cases. This is a hands-on role focused on developing agentic systems, RAG pipelines, fine-tuning workflows, and production-grade LLM integrations.

Part-time during the first month

Requirements

• 4+ years of commercial development experience (Python is a plus)
• Experience building real AI/ML applications
• Strong understanding of modern AI/ML workflows and LLM ecosystems
• Hands-on experience with ML frameworks such as TensorFlow or PyTorch (JAX is also acceptable)
• Experience with LLM APIs (OpenAI, Claude, etc.)
• Understanding of RAG pipelines and AI workflows
• Experience with APIs and third-party integrations
• Basic prompt engineering skills
• Good communication skills
• Comfortable working in a fast-paced environment

Nice to have

• Experience with LoRA, QLoRA, adapters, or other fine-tuning approaches
• Experience with LLM frameworks such as LangChain or LlamaIndex
• Experience working with clients or enterprise systems
• Background as an AI Engineer, ML Engineer, or Data Scientist

Responsibilities

• Build AI-powered features using LLMs (Claude, OpenAI, etc.)
• Develop and optimize RAG pipelines
• Create AI agents and autonomous workflows
• Fine-tune and adapt ML/LLM models for specific use cases
• Integrate AI solutions into products via APIs
• Collaborate with the team and clients to deliver production-ready solutions

Не просто код, а твій вплив на мільйони українців

Nova Digital — це технологічне серце екосистеми NOVA, де твій код стає частиною щоденного життя цілої країни.

Про масштаб наших сервісів:

• 50+ млн запитів щодня проходять через наші системи
• 10+ млн активних користувачів покладаються на наші рішення

Ми будуємо не просто продукт — ми створюємо технологічну інфраструктуру, яка об’єднує людей, бізнеси та можливості вже майже по цілому світу.

Що робитимеш як Data Engineer:

• Проектування, оптимізація та підтримка кластера Airflow, та коду на python.
• Розробка логіки ETL процесів.
• Проектування інтеграційної взаємодії систем, розробка сервісів інтеграції та обміну даними.

Твій ідеальний профіль:

Must-have:

• Професійний досвід роботи з Airflow.
• Досвід не менше 5 років в якості data engineer (python).
• Досвід роботи з Bash, Docker, Dbt, Gitlab CI\CD.
• Досвід роботи з MSSQL Server, Postgresql.

Nice-to-have:

• Досвід роботи з Apache Kafka, Pub/Sub, BigQuery, Apache Spark.

Чому експерти різних напрямів працюють з нами:

Технологічно:

• Високонавантажені системи з реальними викликами масштабування

• Сучасний стек та свобода технологічних рішень

• Можливість впливати на архітектуру продуктів, якими користуються мільйони

Професійно:

• Менторство від сеньйорів з досвідом enterprise-рішень

• Разом будуємо інновації, що працюють для мільйонів

Ідейно:

• Продукт, що змінює країну — не просто ще один стартап

• Тут команди стають драйверами технологічних змін

Benefits:

• Компенсація додаткових витрат, пов'язаних з робочими завданнями, здійснюються до внутрішніх політик компаній.

• Добровільне медичне страхування та страхування життя.

• Корпоративні знижки від партнерів NOVA.

• Підтримка ментального здоров'я. Можливість безоплатних консультацій з корпоративним психологом.

• Соціальна відповідальність та волонтерський рух “Свої для своїх”.

• Клуби за інтересами: біговий, шаховий та інші ініціативи для натхнення.

• Соціальні відпустки та компенсації відповідно до КЗпП України.

Наступний крок за тобою.
Ми  чекаємо на знайомство — залишилось лише отримати твоє резюме.

Очікуваний термін відповіді — до 10 робочих днів.