Jobs at Djinni

Місія ролі:
Забезпечити кероване delivery AI-ініціатив: планування, roadmap, залежності, ризики, бюджет, vendors, procurement coordination, acceptance, reporting, governance і контроль результатів.

Обов'язки:
-Управління delivery roadmap для AI-ініціатив.
-Планування milestones, dependencies, risks, resources.
-Координація роботи engineering, security, BA, documentation і vendors.
-Контроль виконання vendor deliverables.
-Управління RAID log, decision log, action items.
-Підготовка регулярної звітності для CAIO та керівництва.
-Організація acceptance gates для релізів і vendor-поставок.
-Контроль change requests, scope creep і delivery ризиків.
-Взаємодія з procurement/legal/finance там, де це потрібно для vendor delivery.
-Підтримка єдиного delivery governance для CAIO-команди.

Вимоги:
-6+ років досвіду project management, delivery management або program coordination в IT/software.
-Досвід управління cross-functional командами: engineering, security, BA, operations, vendors.
-Досвід Agile/Hybrid delivery: Scrum, Kanban, delivery governance без догматизму.
-Досвід vendor management або роботи із зовнішніми постачальниками.
-Досвід управління scope, schedule, risks, dependencies, RAID log.
-Досвід executive reporting.
-Досвід acceptance management: criteria, sign-off, deliverables, defect tracking.
-Вміння працювати в умовах невизначеності та змінних пріоритетів.
Бажано:
-Досвід AI/data/security/govtech/defence проєктів.
-Досвід RFP/RFQ, procurement support, contract deliverables, SLA/KPI.
-Досвід управління кількома vendors одночасно.
-Досвід побудови portfolio dashboards.
-Jira, Confluence, YouTrack, Azure DevOps, MS Project, Power BI.
-Досвід у regulated або high-security середовищах.

Умови для цивільних:
-Офіційне працевлаштування
-Офісна робота, Київ, Центр
-Можливе бронювання


Умови для чинних військових:
-Військова служба
-Служба в Києві (житло не надається), Центр, Київ
-Повне грошове забезпечення для тилової посади

We are looking for a Specialist to streamline the delivery of the enterprise AWS/Azure cloud migrations and security modernization initiatives for a client engagement.
In this role, you will act as the operational engine and structural "glue" across highly technical streams.
You will manage project tracking (schedules, deliverables, resource alignment) while translating dense architectural and cybersecurity initiatives into clear, impactful change-management communications for business stakeholders, executive leadership, and internal engineering teams.

Key Responsibilities
Maintain and update project backlogs, timelines, sprint schedules, and milestone tracking across concurrent cloud, SIEM, EDR, and vulnerability management deployments using enterprise tools (e.g., Jira, Confluence, MS Project).
Serve as the central communication conduit between highly technical Cloud Architects/SecOps engineers, the Security Operations Center (SOC), compliance/audit units, and business product owners.
Translate complex technical documentation, cloud governance frameworks, and security incident metrics into crisp, accessible summaries, roadmaps, and executive-ready presentations.
Design and execute internal communication plans to champion cloud transformation, announce maintenance windows/migrations with zero business friction, and promote modern DevSecOps security practices across development teams.
Monitor day-to-day project dependencies, flag scheduling conflicts or resource constraints early, and assist technical leads in preparing status reports and KPIs for steering committees.

Key Requirements
3+ years of experience coordinating IT projects, with a strong preference who have supported cloud infrastructure transformations or cybersecurity operations.
Outstanding written and verbal communication skills. You must excel at synthesizing engineering data into non-technical language and building scannable, visual documentation.
Solid conceptual understanding of cloud computing (AWS/Azure) and fundamental security landscapes (e.g., understanding the business purpose of SIEM, vulnerability management, or identity governance).
High proficiency in Jira, Confluence, or similar project tracking suites, along with presentation tools like PowerPoint or Miro.
Highly organized with a natural knack for tracking multiple moving pieces without dropping the ball, combined with the resilience required for fast-paced technology environments.

Nice to have
CAPM (Certified Associate in Project Management) or PRINCE2 Foundation certification.
Professional Scrum Master (PSM I) or Agile Project Management (AgilePM) certifications.
Baseline technical certifications (e.g., AWS Cloud Practitioner or Microsoft Azure Fundamentals) are a major plus.

 

At UAI Labs, we're building the next generation of intelligent automation — tools and solutions that help companies work smarter, faster, and more creatively. We take on the repetitive, manual, "why-is-this-still-done-like-this?" work so people can focus on skills that matter.

As a growing startup, we move fast, experiment often, and love turning ambitious ideas into real products. You'll work with emerging tech and contribute to meaningful projects from day one. Here, curiosity is an advantage, and creativity is part of the job description.

If you want to solve real problems and shape the future of automation, you'll feel right at home.

About the Role

We are looking for a strategic, highly skilled UiPath Solution Architect to lead the design and implementation of scalable, enterprise-grade automation solutions across the organization. In this role, you will define solution architectures, guide technical direction, and ensure alignment between business objectives and technology choices.
 

Responsibilities

• Own the end-to-end architecture for complex automation initiatives, from feasibility assessment through deployment
• Design enterprise-grade UiPath solution architectures, reusable components, and reference frameworks (REFramework and beyond)
• Define architectural standards, governance models, and best practices for the automation Center of Excellence (CoE)
• Evaluate solution options and validate technical feasibility across business processes
• Align automation architecture with organizational strategy and business goals
• Architect integrations across enterprise systems (ERP, CRM, cloud platforms, SaaS)
• Oversee Orchestrator design, infrastructure planning, and system interoperability
• Conduct design and code reviews to ensure compliance with architectural principles and coding standards
• Provide technical leadership and guidance to developers, business analysts, and the broader CoE team

• Stay up to date with emerging technologies, including AI-enabled automation and cloud-native patterns

   

Required Skills & Qualifications

• 10+ years of experience in solution architecture, software engineering, or related roles
• Hands-on experience designing and implementing enterprise-scale automation solutions using UiPath (Orchestrator, REFramework, AI Center, etc.)
• Strong background in software architecture and integration design
• Experience designing distributed and scalable systems
• Proficiency in one or more programming languages (Python, Java, C#, Node.js)
• Solid understanding of APIs, cloud platforms (AWS, Azure, or GCP), and security principles
• Experience producing architectural documentation and diagrams
• Strong leadership and stakeholder management skills

• Strong professional English communication skills (spoken and written)

   

Preferred Qualifications

• UiPath Solution Architect or Advanced Developer Certification
• Knowledge of AI/ML-enabled use cases and digital transformation initiatives
• Experience with containerization and orchestration (e.g., Kubernetes)
• Understanding of compliance, IAM, and auditing requirements

• Experience working in or defining Centers of Excellence (CoE)

   

Who You Are

• A strategic thinker with strong technical depth
• Comfortable balancing hands-on involvement with high-level architecture
• A trusted advisor to senior stakeholders
• Passionate about designing scalable, future-proof solution landscapes

Rentberry is the first global AI-powered home rental platform that streamlines the long-term rental process, offering a fully digital, all-in-one rental ecosystem. We are a fast-growing startup with a remote-first, startup-style work environment — minimal bureaucracy and high autonomy for team members.

We're looking for a hands-on Email Outreach & Deliverability Specialist to build our outbound email program from the ground up. This is a builder's role: you'll architect and maintain a multi-domain sending infrastructure that protects deliverability at scale, then proactively design and run the segmented outreach campaigns that drive results.

What You'll Do

Email Infrastructure & Deliverability

• Design, build, and maintain a scalable outbound sending infrastructure from scratch.
• Stand up outreach across platforms (Instantly, Smartlead) and ESP/infrastructure tools (Mailgun, SendGrid, Amazon SES, Postmark) as appropriate.
• Configure and monitor SPF/DKIM/DMARC across all domains; manage IP/domain reputation, warm-ups, and feedback loops.
• Proactively monitor deliverability (inbox placement, spam complaints, bounce rates) per domain, and pause, swap, or replace degrading/burned domains and mailboxes before they affect the wider setup.
• Troubleshoot deliverability issues: blacklists, spam traps, bounce handling, and authentication failures.

• Maintain clean suppression lists (opt-outs, bounces) and enforce sending limits and auto-pause rules.

   

Outreach & Campaigns

• Segment a large contact base and design tailored sequences for each segment.
• Build, launch, and continuously optimize automated email flows, drip sequences, and one-off campaigns.
• Personalize messaging and run structured A/B tests on copy, subject lines, and send timing.
• Manage replies across a high volume of mailboxes.
• Ensure compliance with GDPR, CAN-SPAM, CASL, and other applicable regulations.

• Analyze performance (deliverability, open rate, reply rate, CTR, conversions) and report on what's working.

   

What We're Looking For

• 2+ years in email deliverability and/or outbound email, including hands-on cold outreach.
• Proven experience building and managing multi-domain / multi-mailbox sending setups (not just single-domain marketing email).
• Hands-on experience with cold-outreach platforms (Instantly, Smartlead, Lemlist, Apollo, or similar) and ESPs (Mailgun, SendGrid, Amazon SES, Postmark, HubSpot, Mailchimp/Mandrill).
• Strong command of email authentication (SPF, DKIM, DMARC), feedback loops, warm-up strategy, and sender-reputation management.
• Experience with DNS zone providers (Cloudflare, GoDaddy, Amazon Route 53).
• Track record running and optimizing campaigns at scale (10k–1M+ sends).
• Working knowledge of email compliance (GDPR, CAN-SPAM, CASL).
• Basic HTML/CSS for troubleshooting email templates.
• Nice to have: multi-channel experience (SMS, push, WhatsApp).
• Upper-Intermediate English, strong written and verbal communication.

• Proactive, independent, detail-oriented — comfortable owning the program end-to-end.

   

What We Offer

• Fully remote work with a flexible schedule.
• Startup culture: fast decisions, minimal bureaucracy.
• Competitive salary with growth opportunities.
• Paid vacation & sick leave.
• Bonuses for achieving company milestones.
• The chance to build Rentberry's outbound email program from scratch and see your work reach a global audience.

Data Science UA is a service company with deep expertise in AI and Data Science. Our story began in 2016 with the first Data Science UA Conference in Kyiv, and since then we've built one of the largest AI communities in Europe.
 

About the role:
We are looking for an Operations & Lead Generation Coordinator to join a team building technology solutions for DefenseTech — a person who will become the hub of the company's operational coordination and help us build new partnerships and find new opportunities for growth.
We would be especially glad to welcome candidates who share the mission of developing Ukrainian DefenseTech and want to contribute to strengthening Ukraine's defense capabilities.
 

Responsibilities:
- coordinating the company's day-to-day operational processes;
- managing business communication with clients, partners, and contractors;
- organizing meetings and calls, preparing and following up on agreements;
- supporting lead generation processes and the search for new potential clients;
- helping organize conferences, exhibitions, business events, and other company activities;
- coordinating internal tasks between teams;
- tracking deadlines and following tasks through to full completion;
- quickly and effectively resolving operational issues.
 

Requirements:
- experience in operations, project coordination, executive support, or related roles;
- flawless spoken and written Ukrainian;
- high level of English (Upper-Intermediate / Advanced);
- strong communication skills;
- structured approach, responsibility, and attention to detail;
- ability to multitask;
- fast pace of work and a proactive approach.
 

Will be a plus:
- experience working in MilTech or DefenseTech;
- understanding of the defense industry's specifics;
- experience interacting with military personnel, defense companies, or government projects;
- veteran status or experience serving in Ukraine's Defense Forces;
- experience in business development or sales;
- experience in lead generation;
- experience in event management.
 

Important:
- location - Kyiv;
- readiness to work in a dynamic environment;
- willingness to take responsibility for results;
- high level of self-organization;
- openness, positivity, and a love of communication.

We are looking for a Senior PHP Symfony Developer

Information: 80% remote, 20% on-site in Düsseldorf

Responsibilities:
Design, development and implementation of modern web solutions using PHP, HTML5, CSS3 and JavaScript or jQuery
Development of web applications based on established frameworks, particularly Symfony 6+ or Laravel
Optimisation, maintenance and continuous development of existing web solutions
Participation in complex development projects, potentially including architectural or technical leadership responsibilities
Independent ownership of tasks and roles within a Scrum team
Technical support, onboarding and coaching of new or less experienced team members
Ensuring high code quality and structured, transparent version control using Git

Candidate profile:
A completed degree in computer science, business informatics or a comparable IT-related field, or extensive relevant professional experience: at least five years with completed vocational training or at least six years without vocational training
At least three years of professional experience in PHP application development
Senior-level experience in development with PHP and Symfony
At least two years of practical experience with Symfony, or comparable experience with Laravel
At least twelve months of web development experience within the past three years
At least twelve months of experience with Symfony or Laravel within the past three years
Demonstrable involvement in complex development projects, ideally with architectural, coaching or leadership responsibilities
Experience with agile development methodologies, particularly Scrum
Ideally, experience in a technical leadership or consulting role

Excellent written and spoken German skills at a minimum B2 level or native-level proficiency
Independent, structured and solution-oriented working style
Strong teamwork and communication skills

Mandatory technical skills:
PHP
Symfony 6 or higher
Git

Desirable skills:
Laravel
HTML5, CSS3, JavaScript and jQuery
Bootstrap
Composer
npm and automated build or deployment pipelines
Jira and Confluence
Synchronous and asynchronous encryption or processing mechanisms using Symfony

About the Product

We are building a US-based, data-driven product with a strong focus on scalability, performance, and cost efficiency.

Our mission is to design a modern data platform that transforms raw behavioral and monetization data into reliable, actionable business insights — in near real-time.

For us, data engineering is not just about moving data.
It’s about:

• Designing resilient architecture
• Optimizing for performance and cost
• Building reliable automation
• Ensuring architectural integrity at scale
•  

Role Overview

We are looking for a Senior Data Engineer who will take ownership of the data platform architecture and drive technical excellence across ingestion, modeling, and performance optimization.

This role requires deep expertise in SQL, Python, AWS infrastructure, and modern data stack principles. You will not only build pipelines — you will define standards, lead architectural decisions, and proactively improve system efficiency.

You will play a critical role in ensuring that data flows seamlessly from event streams to business-ready datasets while maintaining high performance, reliability, and cost control.

What Makes This Role Senior-Level

As a Senior Data Engineer, you will:

• Own architectural decisions for the data platform
• Identify scalability bottlenecks before they become incidents
• Optimize data infrastructure for performance and cost
• Lead technical code reviews and set engineering standards
• Mentor mid-level engineers
• Act as a technical partner to Product and Analytics stakeholders
• Balance real-time and batch processing strategies strategically

Technical Requirements

Must-Have

Expert-Level SQL

• Complex analytical queries and window functions
• Query optimization and execution plan analysis
• Identifying and eliminating performance bottlenecks
• Reducing query complexity and compute costs
• Designing partitioning and clustering strategies

Python

• Advanced data manipulation
• Building scalable ETL/ELT frameworks
• Writing production-grade data services
• Automation and monitoring scripts

AWS Core Infrastructure

• AWS Kinesis Firehose (near-real-time data streaming)
• Amazon S3 (data lake architecture and storage optimization)
• Designing reliable ingestion layers

Version Control

• Git (GitHub / GitLab)
• Branching strategies
• Leading technical code reviews
• Enforcing best practices in code quality

Nice-to-Have

Modern Data Stack

• dbt (modular SQL modeling, documentation, testing)
• Experience structuring layered data models (staging → intermediate → marts)

Data Warehousing

• Google BigQuery
• Slot management
• Cost-efficient querying
• Storage and compute optimization

Advanced Optimization Techniques

• Partitioning
• Clustering
• Bucketing
• Storage layout optimization

Integrations & Infrastructure

• Salesforce data integration
• Docker / ECS
• CI/CD for data workflows

AI / ML Exposure

• Supporting feature pipelines
• Understanding data requirements for ML systems

Key Responsibilities

Data Platform Architecture

• Design and maintain a scalable real-time and batch data platform
• Architect ingestion pipelines using AWS Kinesis and Python
• Ensure high availability and reliability of data flows

Real-Time Processing

• Enable near-real-time (seconds–minutes latency) data processing
• Build systems for operational alerting and anomaly detection
• Ensure early detection of monetization and traffic issues

Data Modeling

• Transform raw event data into business-ready datasets using dbt
• Design scalable, maintainable schemas aligned with product evolution

Performance & Cost Engineering

• Optimize SQL queries and storage structures
• Design cost-efficient partitioning strategies
• Monitor and reduce warehouse and infrastructure costs
• Balance real-time and batch processing appropriately

Engineering Excellence

• Lead and participate in code reviews
• Enforce high standards of performance, security, and maintainability
• Improve observability and monitoring across pipelines

Cross-Functional Collaboration

• Work closely with Data Analysts and Product Managers
• Translate business requirements into scalable technical solutions
• Clearly communicate trade-offs between speed, cost, and complexity

Type of Data We Process

• User behavior events (page views, clicks, searches, conversions)
• Ad & monetization events (impressions, clicks, CTR, attribution)
• System and integration logs (latency, errors, rate limits)

Why Real-Time Is Critical

• Detect broken ads or impression drops before revenue is lost
• Identify traffic anomalies or abuse early
• Enable same-day operational intervention
• Prevent negative user and advertiser experience

Near-real-time (seconds to minutes latency) is required for operational awareness.
Batch processing remains important for historical analysis and reporting — but not for incident detection.

Working Schedule

• Monday – Friday
• 16:00 – 00:00 Kyiv time
• Full alignment with US-based stakeholders

What We Value

• Strong ownership mindset
• Strategic thinking about architecture
• Focus on scalability, reliability, and cost efficiency
• Proactive problem-solving
• Clear communication with both technical and non-technical teams
• Ability to think beyond “just making it work”

Dinarys is an Ecommerce Development Company helping retailers, brands, and manufacturers across DACH, the UK, and the US build, scale, and optimize their digital commerce solutions.

We’re entering a new stage of marketing.

Rather than treating our website as a collection of pages, we’re transforming it into a scalable knowledge infrastructure that powers brand visibility, SEO, AI search, LLMs, sales enablement, and future AI agents.

We’re looking for an AI Content Strategist who can lead this transformation.

This is a strategic, hands-on role where you’ll work directly with the CEO, Solution Architects, Delivery teams, and Business Development to capture the company’s expertise and transform it into a structured, scalable knowledge ecosystem.

If you’re excited about AI, content strategy, semantic search, and building systems rather than simply producing content, we’d love to meet you.

You’ll thrive in this role if you:

• Think like a business owner rather than a content marketer.
• Love extracting knowledge from experts and turning it into scalable business assets.
• Enjoy building systems, frameworks, and repeatable processes.
• Understand that modern content is built for both humans and AI.
• Know how SEO, semantic search, entity-based content, branding, and AI work together.
• Constantly experiment with AI tools, workflows, and autonomous agents.
• Are comfortable working directly with founders and engineering teams.

• Take ownership of ambiguous problems and build solutions from scratch.

   

What You’ll Build

During your first months, you’ll help transform Dinarys’ marketing foundation by building an AI-native knowledge ecosystem. You’ll work on structuring the company’s expertise into a scalable knowledge base, designing content architecture, and developing AI-powered workflows that make our expertise accessible to both people and AI systems.

This role goes far beyond creating content. You’ll help shape how our knowledge is organized, connected, and distributed to strengthen brand authority, improve discoverability across search engines and LLMs, and create a long-term foundation that supports marketing, sales, and future AI initiatives.

Responsibilities

• Own and continuously evolve Dinarys’ Brand & Knowledge Strategy.
• Design and build a scalable knowledge infrastructure across the website and marketing assets.
• Define information architecture, content hierarchy, entities, and relationships across industries, services, technologies, and customer challenges.
• Build an AI-ready content ecosystem that improves discoverability across Google, LLMs, AI assistants, and future agentic systems.
• Develop a semantic SEO and entity-first content strategy aligned with business objectives.
• Conduct interviews with customers, Solution Architects, Project Managers, engineers, and leadership to transform expertise into reusable knowledge assets.
• Create customer success stories, technical case studies, solution pages, whitepapers, executive content, landing pages, and industry resources.
• Lead thought leadership initiatives around the CEO and technical experts.
• Design and optimize AI-powered content workflows using modern AI tools and agents.
• Continuously experiment with new AI capabilities, content operations, and knowledge management approaches.
• Collaborate closely with Sales, Business Development, Delivery, and Leadership to ensure marketing supports commercial growth.
• Measure and optimize brand visibility, organic growth, AI discoverability, and content performance.

Requirements

• 5+ years in B2B Content Marketing, Brand Marketing, Content Strategy, Knowledge Management, or a related field.
• Experience developing and executing strategic content initiatives.
• Strong business storytelling and interviewing skills.
• Experience transforming technical expertise into business-focused content.
• Strong understanding of SEO, semantic search, content architecture, and information organization.
• Experience designing scalable content systems rather than only producing individual assets.
• Experience working with software development, SaaS, AI, technology, or ecommerce companies.
• Practical experience using AI tools (ChatGPT, Claude, Gemini, Perplexity, etc.) to improve marketing workflows.
• Ability to work independently, identify gaps, and drive initiatives with minimal supervision.
• Excellent English (Upper-Intermediate+).

Nice to Have

• Experience with Knowledge Management or Information Architecture.
• Understanding of entity-based AEO (Answer Engine Optimization), or LLM optimization.
• Experience with AI agents and agentic workflows.
• Experience with headless CMS platforms (Contentful, Storyblok, Sanity, etc.).
• Experience with Google Analytics 4, Search Console, Ahrefs, Semrush, or similar tools.
• Experience with ecommerce or digital commerce.
• Experience with PR, thought leadership, executive branding, or developer marketing.

What We Offer

• Fully remote work.
• Direct collaboration with company leadership.
• High ownership and freedom to shape Dinarys’ marketing direction.
• Opportunity to build a recognized brand in the international ecommerce technology market.
• A strategic role with significant influence on company growth, positioning, and business development.

Mirko Solutions is an international IT company specializing in web and mobile development for clients across the US, Canada, EU, and Australia. We are growing rapidly and are looking for a Middle Manual QA Engineer to join our team and help ensure the quality, reliability, and usability of our web and mobile applications.

Job Requirements

• 3+ years of experience in manual testing of web applications
• Strong understanding of software testing methodologies, SDLC, STLC, and Agile processes
• Experience creating and maintaining test documentation (test cases, checklists, test plans, bug reports)
• Experience with bug tracking and project management tools (Jira, Azure DevOps, or similar)
• Experience testing REST APIs using Postman, Swagger, or similar tools
• Solid understanding of client-server architecture and HTTP protocols
• Experience performing functional, regression, smoke, exploratory, and acceptance testing
• Understanding of UI/UX principles and experience validating interfaces using Figma
• Basic knowledge of HTML and CSS for troubleshooting UI issues
• Experience working with SQL for basic database validation
• Strong analytical and problem-solving skills
• Excellent communication skills in English
• Attention to detail and ownership mindset

Nice-to-Have:

• Experience testing mobile applications (iOS/Android)
• Basic knowledge of automation testing concepts or frameworks
• Experience with browser DevTools
• Familiarity with CI/CD processes
• Basic understanding of JavaScript
• Experience working with performance or security testing tools

Responsibilities:

• Perform manual testing of web and mobile applications
• Design, execute, and maintain test cases, checklists, and test scenarios
• Conduct functional, regression, smoke, exploratory, and acceptance testing
• Validate new features and ensure existing functionality remains stable
• Test REST APIs using Postman or similar tools
• Report, document, and track defects throughout their lifecycle
• Verify bug fixes and perform regression testing before releases
• Collaborate closely with developers, Project Managers, Business Analysts, and Designers
• Participate in sprint planning, backlog refinement, and QA estimations
• Maintain testing documentation and continuously improve QA processes
• Ensure delivered products meet quality standards and business requirements

We provide the following for our employees:

• Competitive salary according to qualification
• Comfortable working environment
• Experienced colleagues
• Opportunity to work with interesting projects,
• Regular performance reviews
• Friendly atmosphere, care for the comfort of professionals

About Digis

We are a European IT company with 200+ specialists delivering SaaS platforms, enterprise solutions, and cloud-native products for clients worldwide. We focus on building strong, long-term teams and supporting continuous professional growth.

About the Project

A fast-growing SaaS company developing a Unified API platform that helps software vendors connect their products with financial and business tools.

The platform enables seamless data synchronization across accounting, finance, and other SaaS systems, helping businesses reduce data silos and expand their integration capabilities. You will contribute to the product’s development, architecture, and future technical direction.

Responsibilities

• Scale and optimize the case detection scanner to improve its performance and reliability.
• Decompose the existing API into multiple independent and scalable services.
• Set up a local development environment for emulating Google Pub/Sub and Cloud Run.
• Design and develop an integration connector for Sage.

Requirements

• 5+ years of professional experience with Python.
• 2+ years of hands-on experience with FastAPI or Flask.
• 1+ year of experience with SQL.
• Upper-Intermediate English or higher.

Why This Project Is Exciting

• Autonomy: A results-oriented environment built on trust.
• Product Impact: An opportunity to contribute to the product and its technical direction.
• Stable and Growing Product: Work on an established SaaS platform with international clients.
• Professional Growth: Gain experience with financial integrations and scalable API solutions.

We Offer

• 20 paid vacation days per year.
• 5 paid sick days per year with no medical documentation required.
• A personalized development plan supported by individual professional growth goals.
• Compensation for professional and subject-matter training.
• Necessary work equipment and workplace setup support, if needed.
• Assistance with selecting English courses and compensation for course fees.
• A horizontal organizational structure with open and transparent communication.
• Opportunities to switch between projects and technologies within the company.
• Accounting support.

• • Free access to corporate psychologist services.

WHO WE ARE

We are Edge Solutions Lab, a team of engineers with a strong background in product development of edge solutions and data platforms. Our legacy is grounded in the successful execution of the Hivecell product. We're committed to helping companies implement their product strategies and turn data into real, measurable value.

WHO WE ARE LOOKING FOR

We are seeking an experienced Data Scientist to join an exciting project for our client, Flow — a forward-thinking company transforming the way people live, work, and connect. You will work on real-world data challenges at the intersection of edge computing and data platforms, turning complex, large-scale data into models and insights that directly shape Flow's digital ecosystem and drive measurable product value.

KEY RESPONSIBILITIES

• Design, develop, and deploy machine learning models and statistical solutions that address real business problems
• Collaborate with product, engineering, and domain teams to translate requirements into data-driven solutions
• Conduct exploratory data analysis and feature engineering on large, complex datasets
• Build and maintain scalable data pipelines to support model training, evaluation, and inference
• Define and track model performance metrics; monitor models in production and drive continuous improvement
• Communicate findings, methodologies, and results clearly to both technical and non-technical stakeholders

• Contribute to the team's data science best practices, tooling, and documentation

   

WHAT YOU BRING ALONG

• 4+ years of professional experience as a Data Scientist or in a similar role
• Strong proficiency in Python and core data science libraries (pandas, NumPy, scikit-learn, etc.)
• Solid understanding of machine learning algorithms, statistical modeling, and model evaluation techniques
• Experience with deep learning frameworks (TensorFlow or PyTorch) is expected at this level
• Hands-on experience deploying models to production environments (REST APIs, containerization, cloud platforms)
• Proficiency with SQL and working with relational or distributed data stores
• Familiarity with MLOps practices: experiment tracking, model versioning, monitoring (e.g., MLflow, Weights & Biases)
• Experience working with cloud platforms such as AWS, GCP, or Azure
• Practical experience leveraging AI-powered tools (e.g., GitHub Copilot, ChatGPT, or similar) to enhance productivity and accelerate development workflows
• Working knowledge of: graph databases (Memgraph, Neo4j, or similar); edge inference runtimes (ONNX Runtime, llama.cpp, ExecuTorch); gradient boosting frameworks (XGBoost, LightGBM, CatBoost); time-series analysis on IoT or sensor data streams; Snowflake and dbt-based analytics pipelines
• English proficiency at B2 level or higher — able to communicate effectively in a professional setting, both written and spoken

WILL BE A PLUS

• Experience with edge computing or IoT data streams
• Knowledge of time-series analysis and anomaly detection
• Familiarity with data orchestration tools (Airflow, Prefect, or similar)
• Contributions to open-source projects or published research
• Experience in a product-focused or startup environment

SOFT SKILLS

• Strong analytical thinking with a pragmatic, solution-oriented mindset
• Ability to work independently and take ownership of tasks end-to-end
• Clear and concise communication — able to explain complex concepts to non-technical audiences
• Collaborative attitude and comfort working in cross-functional teams
• Intellectual curiosity and a continuous drive to learn and improve
• Comfort with ambiguity and the ability to prioritize effectively in a fast-paced environment

Workload: Full-time (100%)
Start: TBD
Duration: Long-term
Location: EU, CIS countries, Georgia
Rate: Up to 12 USD/hour
Language: English

About the Role

We are looking for a Middle QA Automation Engineer (JavaScript) to join a long-term product team developing a high-load digital platform.

You will be responsible for building and maintaining automated test suites, validating complex business workflows, and ensuring product quality across web applications and APIs. This role requires strong JavaScript automation skills and close collaboration with developers, product managers, and other QA engineers.

Working hours (Armenia time):

• 12:00–21:00 or
• 13:00–22:00

Important: We consider only candidates who are full-time employees of our partners. This is a long-term engagement with no defined end date. At the moment we are collecting candidates, and the project start date has not yet been confirmed.

Responsibilities

• Develop, maintain, and improve automated UI and API tests using JavaScript.
• Maintain and extend existing automation frameworks.
• Design, execute, and maintain regression test suites.
• Perform API testing and validate backend functionality.
• Create and maintain test plans, test cases, and defect reports.
• Investigate defects and work closely with developers to resolve issues.
• Participate in sprint planning, estimations, and release activities.
• Contribute to continuous improvement of QA processes and automation coverage.
• Collaborate with cross-functional teams in an Agile environment.

Required Skills

Must-Have

• 3+ years of commercial QA experience.
• Strong commercial experience with JavaScript.
• Solid experience in test automation.
• Experience with UI and API test automation.
• Basic knowledge of Cucumber or another BDD framework.
• Good understanding of:
  • HTTP
  • REST APIs
  • Postman (or equivalent API tools)
• Experience creating and maintaining:
  • Test plans
  • Test cases
  • Defect reports
• Daily experience with Git.
• Confidence working with and extending existing automation frameworks.
• English sufficient for day-to-day communication with an international team.

Nice to Have

• Commercial experience with Cucumber/Gherkin.
• AWS or another public cloud platform.
• Docker.
• Basic SQL.
• Chrome DevTools.
• Load or performance testing.
• Experience with high-load products in domains such as:
  • Streaming
  • Payments
  • Subscription platforms
• Experience using AI tools (ChatGPT, GitHub Copilot, Cursor, Claude, etc.) in test automation workflows.

We Offer

• Long-term international project.
• Stable full-time workload.
• Fully remote collaboration.
• Professional and experienced engineering team.

• Opportunity to work on a modern product with mature QA processes.

   

We're looking for a Product Adoption Analytics Lead to help turn product usage data into actionable insights that drive user adoption and measurable business impact.

Help shape how thousands of people adopt digital products

Do you enjoy digging into product data, uncovering why users behave the way they do, and turning insights into actions that improve adoption? If you're passionate about analytics that drive real product decisions—not just reporting metrics—we'd love to meet you.

At Beetroot, we're building a team supporting the digital transformation of a global enterprise. As part of the Product Adoption team, you'll work with Product, Learning, Internal Communications, and Engineering to ensure digital products aren't just launched—they're successfully adopted and create lasting value for users.

You'll own the analytics strategy behind product adoption, helping teams understand what drives engagement, where users struggle, and which initiatives truly move the needle.

What you'll do in this role  

• Own product adoption metrics and define KPIs that measure meaningful user engagement.
• Build dashboards and reporting that help teams make data-driven decisions.
• Analyze user journeys, activation funnels, retention, and feature adoption to identify opportunities for improvement.
• Diagnose why adoption stalls and provide clear recommendations to Product and cross-functional teams.
• Partner with Learning, Community, Communications, and Product teams to measure the effectiveness of adoption initiatives.
• Design experiments and measure the impact of new campaigns, onboarding experiences, and product improvements.
• Combine quantitative analytics with qualitative user feedback to uncover actionable insights.
• Measure business value beyond usage, including efficiency gains, user satisfaction, and value realization.
• Present insights and recommendations to stakeholders in a clear, compelling way.

We're looking for

• 5+ years of experience in Product Analytics, Growth Analytics, Product Insights, or Digital Analytics.
• Experience analyzing product usage, user behavior, activation, retention, and adoption metrics.
• Strong experience with product analytics platforms and BI tools such as Tableau, Power BI, Mixpanel, Amplitude, or similar.
• Experience building dashboards, defining KPIs, and translating data into business recommendations.
• Strong understanding of product-led growth metrics and experimentation.
• Experience working with Product Managers and cross-functional teams to improve product adoption.
• Excellent analytical thinking and data storytelling skills.
• Ability to communicate complex findings to both technical and business stakeholders.
• Upper-Intermediate English or higher.

How to knock our socks off

• Experience with enterprise SaaS products.
• Experience measuring AI product adoption.
• Familiarity with A/B testing and experimentation frameworks.
• Experience with user research or customer insights.
• Knowledge of organizational analytics or workplace analytics.
• Experience working in regulated industries.
• Naming five or more dishes that include beetroot besides borshch.

✔ Not checking every box?

This job looks very exciting, but you hesitate to apply because of the confidence gap? Reach out to us anyway! Beetroot is an inclusive workplace that considers all applicants. We’re committed to openness — promoting equality and fostering an environment where different backgrounds, ideas, and experiences are not just accepted, but embraced. So let’s discover together whether we could be an excellent fit for each other.

Please send us your CV in English, and we’ll be happy to discuss your application further.

ORIL is seeking a highly skilled Senior AI/ML Engineer to architect and scale our mission-critical, AI-driven data platform. At the core of our engineering culture is a steadfast commitment to performance, reliability, and uncompromising data integrity. The ideal candidate is an autonomous problem-solver who thrives in an agile environment, takes end-to-end ownership of complex systems, and pairs a bias for action with a dedication to robust, stable deployments.

 

Project:

Our client is a US-based innovator providing a centralized data platform for multi-family real estate. The product uses BI and AI analytics to help operators optimize marketing spend and operational efficiency. A core AI feature of this platform is an intelligent chatbot designed to help users seamlessly manage workflows, query data, and surface actionable insights.

What are we looking for?

• 5+ years of experience building and owning production-grade backend and ML systems in Python;
• Proven experience designing and deploying complex, multi-step LLM workflows and conversational agents (chatbots) using frameworks like LangChain or LangGraph;
• Deep understanding of RAG (Retrieval-Augmented Generation) pipelines: from chunking and embedding strategies to retrieval optimization and prompt engineering;
• Experience with "Text-to-SQL" or translating natural language into complex data queries, as the chatbot will interact heavily with BI analytics;
• Experience with LLM observability, tracing, and evaluation frameworks (e.g., Langfuse, Braintrust, Arize Phoenix, Ragas, or DeepEval);
• Experience with systematic prompt lifecycle management, versioning, and algorithmic optimization (e.g., DSPy);
• Experience profiling and minimizing time-to-first-token (TTFT) and overall response latency for real-time conversational agents;
• Strong analytical skills with the ability to explore datasets, identify patterns, measure outcomes, and derive actionable insights; 
• Familiar with data cleaning and normalization techniques to ensure accurate, consistent, and reliable data for analysis and AI-driven applications;
• Curious about how multi-family real estate works and motivated to understand the key metrics behind the business (marketing spend, operational efficiency etc.) to better tune AI outputs;
• English level: Upper-Intermediate (B2+).

What will you do?

• Design, develop, and own the core AI architecture powering the platform's intelligent chatbot and automated BI insights;
• Build and refine advanced RAG pipelines to ensure the chatbot surfaces accurate;
• Develop robust AI agents capable of managing platform processes and executing complex operational tasks on behalf of the user;
• Set up and maintain automated CI/CD gates that run LLM evals and integration tests;
• Maintain a high shipping tempo, continuously iterating on chatbot features based on user feedback and internal telemetry;
• Diagnose and fix complex issues in the AI pipeline using advanced tracing and observability tools;
• Work closely with data engineers and product managers to refine the technical roadmap and ensure the AI seamlessly integrates with the broader BI platform.

We Offer:

Working conditions:

• Ability to grow with an ambitious niche-focused company
• Competitive compensation;
• Accounting Support Services;
• Flexibility to work from anywhere (fully remotely or in our office in Lviv);
• Comprehensive day-off policy, including public holidays and special events
• Education & certification budget + corporate education events and trainings
• Wellness budget
• The environment and culture that promotes personal and team development.

Application Process:

• Initial Screening: Call with Recruiter.
• Technical Interview.
• Client Interview.
   

Ready to build the future of AI-driven real estate operations? Apply now and let’s get to work!

Ми шукаємо AI Engineer, який підсилить нашу команду розробки штучного інтелекту. Це роль не про "просте підключення APІ чи поверхеневий інжиніринг запитів", а про глибоку інженерну й системну рооту на інтеграцію LLM, розробкою аріхектурних даних.
Якщо ти зацікавлений у даній позиції, читай нижче опис по вимогам/задачам, та якщо ти відповідаєш вимогам, залишай резюме!

Вимоги до досвіду:

• досвід комерційної розробки: не менше 3 років;
  Інструменти та технології: Python, REST API, OpenAPI/Swagger, JSON, Docker, PostgreSQL/MongoDB, Redis, CI/CD;
   
• впевнене володіння Python як основною мовою розробки;
  Необхідна екосистема Python: Python 3.10+, FastAPI, Flask (як плюс), Pydantic, Pydantic AI, asyncio, aiohttp/httpx, requests, SQLAlchemy, Alembic, Celery/RQ, pytest, unittest, mypy, ruff, black, isort, pre-commit, logging, structlog, pathlib, typing, dataclasses;
   
• досвід розробки backend-сервісів, API та інтеграцій;
  Інструменти та технології: FastAPI, REST API, WebSockets, SSE, OpenAPI/Swagger, Postman, JSON Schema, PostgreSQL, Redis, SQLAlchemy, Docker, docker-compose, GitHub Actions/GitLab CI;
   
• обов'язкове вміння самостійно писати чистий, підтримуваний та архітектурно коректний код без використання додаткових ШІ-інструментів (AI tools);
  Необхідні знання: OOP (ООП), SOLID, DRY, KISS, YAGNI, dependency injection, clean architecture, layered architecture, design patterns, error handling, logging, unit/integration testing, code review;
   
• досвід роботи з Docker та базовою інфраструктурою розгортання;
  Інструменти та технології: Docker, Docker Compose, Dockerfile, volumes, networks, multi-stage builds, environment variables, secrets, logs;
   
• досвід розробки ШІ-продуктів (AI products) на базі пропрієтарних моделей;
  Інструменти та технології: OpenAI API, Anthropic Claude API, Google Gemini API, OpenRouter, LiteLLM;
   
• досвід розробки ШІ-продуктів на базі local-hosted моделей;
  Інструменти та технології: vLLM, Ollama, llama.cpp, Text Generation Inference, Hugging Face Transformers, Hugging Face Hub, sentence-transformers, PyTorch, tokenizers, GGUF, AWQ, GPTQ, quantization, batching, streaming inference;
   

• досвід роботи з vLLM / llama-серверами та налаштуванням параметрів інференсу;
  Необхідні знання: context window, max tokens, temperature, top_p, top_k, repetition penalty, stop sequences, seed, batch size, concurrency, latency, throughput, tokens/sec, GPU memory, KV cache, cost per request;

  Інструменти: vLLM, Ollama, llama.cpp, TGI, Prometheus/Grafana (як плюс);
   

• досвід підбору моделей під робочі завдання;
  Необхідні знання: порівняння моделей за якістю, вартістю, latency, context window, multilingual quality, tool calling, structured output, safety, hallucination rate;
  Інструменти: OpenRouter, LiteLLM, Hugging Face Leaderboards, LMSYS/Chatbot Arena (як орієнтир), Langfuse, LangSmith, PromptFoo, DeepEval, Ragas;
   
• досвід роботи з vector RAG;
  Інструменти та технології: LangChain, LangGraph, LlamaIndex, Haystack, Qdrant, Weaviate, Pinecone, Chroma, FAISS, pgvector, Elasticsearch/OpenSearch, BM25, hybrid search, re-ranking;
  Необхідні знання: chunking strategy, embeddings, metadata filtering, query rewriting, retrieval evaluation, rerankers, grounding, citations, hallucination control;
   
• досвід роботи з graph RAG / knowledge graph RAG;
  Інструменти та технології: Neo4j, NetworkX, GraphRAG, LangChain Graph QA, LlamaIndex Knowledge Graph, RDF/SPARQL (як плюс);
  Необхідні знання: entity extraction, relationship extraction, graph traversal, semantic links, hybrid retrieval, context assembly;
   
• досвід побудови агентних систем;
  Інструменти та технології: LangGraph, LangChain Agents, LlamaIndex Agents, CrewAI, AutoGen, Semantic Kernel, Pydantic AI, OpenAI function calling / tool calling, Anthropic tool use, MCP;
  Необхідні знання: ReAct, planner-executor, supervisor pattern, multi-agent orchestration, memory, tool routing, state management, fallback logic, human-in-the-loop, guardrails;
   
• досвід роботи з AI workflow engine, обов'язково n8n;
  Інструменти та технології: n8n, webhook nodes, HTTP Request node, AI Agent node, credentials, triggers, queues, error workflows, custom nodes, workflow versioning;
   
• досвід побудови evaluation та observability для LLM-продуктів;
  Інструменти та технології: Langfuse, LangSmith, PromptFoo, Ragas, DeepEval, TruLens, Arize Phoenix, Weights & Biases Weave, Helicone, OpenTelemetry;
  Метрики: accuracy, groundedness, relevance, faithfulness, hallucination rate, refusal rate, latency, cost per request, token usage, context utilization, regression rate;
   
• розуміння інформаційної безпеки при роботі з ШІ;
  Необхідні знання: PII, sensitive data, prompt injection, data leakage, secrets management, RBAC, audit logs, sandboxing tools, vendor data policies;
   
• англійська мова: Не нижче Upper-Intermediate. Необхідна для читання документації, роботи з API, аналізу моделей, технічного листування та підготовки design docs.
   

Буде плюсом:

• знання Node.js;
• глибокі знання context engineering;
• глибокі знання NLP;
• досвід fine-tuning моделей.

Основні задачі:

• розробляти production-ready ШІ-сервіси, backend-компоненти, API та інтеграції для внутрішніх і зовнішніх ШІ-продуктів компанії;
• писати чистий, підтримуваний, тестований та архітурно коректний код на Python;
• проєктувати та реалізовувати сервіси на Python/FastAPI для роботи з LLM, RAG, агентними системами та workflow-автоматизацією;
• інтегрувати пропрієтарні моделі через API: OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, Mistral, OpenRouter та інші затверджені компанією сервіси;
• піднімати, налаштовувати та підтримувати local-hosted моделі через vLLM, Ollama, llama.cpp, TGI або аналогічні інструменти;
• підбирати моделі під конкретні бізнес-завдання з урахуванням якості, швидкості, вартості, latency, context window, доступності, безпеки та стабільності результату;
• налаштовувати параметри інференсу моделей: temperature, top_p, max tokens, context window, batching, streaming, concurrency, rate limits, retry logic;
• реалізовувати vector RAG-пайплайни: завантаження даних, очищення, chunking, embeddings, індексація, retrieval, reranking, генерація відповіді, оцінка якості;
• реалізовувати graph RAG / knowledge graph RAG-підходи для завдань, де потрібна робота зі зв'язками між сутностями, документами, користувачами, договорами, клієнтами або бізнес-процесами;
• работувати з векторними базами даних: Qdrant, Weaviate, Pinecone, Chroma, FAISS, pgvector;
• работувати з графовими базами та інструментами: Neo4j, NetworkX, GraphRAG-підходи;
• будувати агентні системи: single-agent, multi-agent, planner-executor, supervisor, tool-using agents, human-in-the-loop flows;
• реалізовувати tool/function calling, structured outputs, JSON schema validation, retry/fallback logic та безпечну обробку відповідей моделей;
• інтегрувати агентні системи з корпоративними інструментами: CRM, бази знань, документи, пошта, календар, Slack/Teams, Jira, Confluence, Google Drive, Microsoft 365, внутрішні API;
• проєктувати та впроваджувати AI workflow automation на базі n8n: webhooks, triggers, AI Agent nodes, HTTP nodes, credentials, error workflows, черги, інтеграції з зовнішніми системами;
• розробляти eval/regression-фреймворки для перевірки якості LLM-відповідей, промптів, RAG та агентних сценаріїв;
  налаштовувати observability та моніторинг ШІ-систем: Langfuse, LangSmith, PromptFoo, Ragas, DeepEval, Arize Phoenix, Helicone, OpenTelemetry;
• контролювати ключові метрики: latency, cost per request, token usage, groundedness, hallucination rate, relevance, accuracy, refusal rate, error rate, regression rate;
  проводити технічні експерименти з моделями, промптами, RAG-підходами, агентними патернами та параметрами інференсу;
• брати участь у завданнях з fine-tuning / model adaptation за наявності потреби: підготовка датасетів, навчання, валідація, порівняння результатів з baseline;
• спільно з Prompt Spec Engineer впроваджувати prompt/spec architecture в код, забезпечувати версіонування промптів, трасування, тестування та контроль якості;
• спільно з Product Manager переводити продуктові вимоги в технічну архітектуру, API-контракти, схеми даних та план реалізації;
• забезпечувати безпеку ШІ-сервісів: захист від prompt injection, контроль доступу, фільтрація чутливих даних, логування, аудит, безпечне зберігання секретів;
• підтримувати сервіси в production: аналізувати інциденти, виправляти помилки, оптимізувати продуктивність, знижувати вартість запитів, покращувати стабільність.

Що компанія пропонує:

• працюємо в сучасному та стильному офіс в ближньому центрі;
• безкоштовний корпоративний трансфер (дім-офіс-дім);
• забезпечуємо якісним та смачним кейтерингом прямо в офісі;
• корпоративні заняття йогою та медитацією + корпоративні знижки на здорове харчування;
• WELCOME bonus - фінансовий бонус від компанії на початку співпраці;
• релокейт пакет (оплата квитків у Львів + перший та останній місяць + рієлторські послуги).