Jobs at Djinni

3DFrames is a product company developing interactive 3D solutions for B2B clients. Our main focus is web-based 3D configurators and technically accurate 3D models of buildings, furniture, construction elements, and products that work directly in the browser.

We are looking for a 3D Generalist / Modeler who is confident in Blender, pays close attention to geometry and dimensions, and understands the specifics of preparing 3D assets for the web.

Format: Remote, full-time
Location: Ukraine / Europe
Company: 3DFrames
Company type: Product
Salary: up to $1500 gross
English: B2

Core Requirements & Tech Stack

• 3+ years of commercial experience in 3D modeling / 3D production
• 2+ years of commercial experience working with Blender
• Strong 3D modeling skills with a focus on accurate dimensions, proportions, clean geometry, and correct UV layouts
• Experience working with technical drawings and creating models based on exact dimensions and references
• Experience creating and adjusting seamless textures using Photoshop, Affinity Photo, Substance Painter / Designer, or similar tools
• Good understanding of PBR materials and texturing workflows
• Understanding of LOW-POLY / MID-POLY modeling and optimization for WebGL / real-time environments
• Understanding of mesh optimization, texture resolution, and texture atlases
• Ability to maintain correct proportions, bevels, thicknesses, and other technical parameters when changing object dimensions
• Strong attention to detail when working with complex and technically accurate geometry
• Ability to independently analyze requirements, clarify missing details, and handle tasks from initial references to final delivery
• Up-to-date portfolio with relevant hard-surface, product, furniture, or architectural 3D models, where the quality of modeling, UVs, and textures can be evaluated
• English at B2 level or higher

Responsibilities
 

• Create accurate 3D models of buildings, furniture, construction elements, products, and other technical objects, including modeling based on technical drawings
• Create UV layouts, seamless textures, and realistic PBR materials for web-based 3D products
• Prepare and optimize geometry and textures for WebGL / real-time environments, maintaining the right balance between visual quality and performance
• Set up basic lighting and scenes for 3D configurators
• Analyze project requirements, technical specifications, and references, and clarify missing details when needed
• Prepare 3D assets according to specific project requirements, including models and components used in interactive instructions or configurators
• Maintain accurate dimensions, proportions, bevels, and construction details throughout the modeling process
• Collaborate with the team and implement feedback throughout the production process
• Communicate in English regarding project requirements, feedback, and clarifications when needed

Will Be a Plus

• Experience with Python scripting for Blender and automation of repetitive tasks
• Basic understanding of JavaScript / Three.js / WebGL and how 3D models are rendered in the browser
• Experience working with CAD systems, CAD files, or technical documentation
• Experience preparing and optimizing 3D assets specifically for web-based products or interactive configurators

What We Offer
 

• Full-time remote cooperation
• Cooperation via FOP
• Accounting support if needed
• 15 paid vacation days
• 5 paid sick days
• Paid public holidays
• Opportunity to grow within an experienced 3D team
• Hands-on experience with commercial web-based 3D products and interactive configurators

Ready to join us? Apply now — your skills and experience might be exactly what we’re looking for.

About Flamingo

Flamingo is building an AI-native platform for MSPs. OpenFrame is one system for running an entire MSP: everything from managing and securing devices to handling tickets and clients, with AI agents woven through the whole platform. Fae handles client-facing support, Mingo works alongside technicians and can take action across the product. It is a large, fast-growing system used daily by technical people.

We are looking for a designer who is exceptional at the craft: turning planned features into thoughtful flows and polished, production-ready interfaces at a high pace. You will work closely with the whole team, shaping direction and priorities together. Your job is to work out the details, make them real, and make them excellent.

What you will do

• Design features across OpenFrame end to end: think through the flow, then bring it to the screen. Tables, detail pages, settings, dashboards, agent interactions.
• Work within and extend our living design system. Consistency across a large product is a core part of the job.
• Bring screens to a truly finished state: every state, every edge case, every empty state and error, checked and ready for handoff.
• Design for a technical audience: MSP admins and technicians who live in device lists, alerts, and logs. Density and clarity matter more than decoration.
• Collaborate directly with engineers in a fast, low-process environment.

What we expect

• 3+ years in UI/UX design, ideally on complex B2B, enterprise, or data-heavy products.
• Portfolio that shows craft: pixel-level attention, strong typography and layout in dense interfaces, consistent component work. We will look at the details.
• Strong Figma skills: components, variants, auto layout, working cleanly inside an existing design system.
• Hands-on experience working with AI tools: prompting, iterating, knowing where AI accelerates the work and where it falls short. AI is part of our product and our daily workflow, so this is not optional.
• Speed with quality. You deliver finished screens, not drafts that need another pass.
• Self-management: you plan your own work, flag blockers early, and deliver without being chased.
• English sufficient for working with UI copy and specs.

Nice to have

• Experience with admin panels, monitoring tools, or developer-facing products.
• Interest in growing toward product design: understanding flows, domain logic, and why screens are the way they are. There is room to grow into that here.
• Frontend awareness (what is cheap vs expensive to build).

About the test task
We include a small test task. Using AI tools is welcome, we use them ourselves. What we evaluate is the final result: craft, attention to detail, and whether the work is brought to a genuinely finished state. AI can help you get there faster, but the quality bar stays the same.

Why Join Flamingo?

• Craft-first role: Your screens ship. Fast feedback loop, direct impact on a product used daily by technical teams.
• Innovative Tech Stack: Work with cutting-edge open-source technologies in AI, automation, and security.
• Remote-first Culture: Flexibility to work from anywhere while collaborating with a top-tier team.
• Mission-Driven Company: Join a team passionate about disrupting the MSP industry and making enterprise-grade security and IT automation accessible to all.

Backend Software Engineer (Python, AI)
 

Requirements:
- 6+ years of experience in backend design and development of production-grade applications.
- Strong experience with Python
- Solid experience with databases, preferably SQL
- Experience working with large-scale systems
- Experience with AI orchestration frameworks such as LangChain or LlamaIndex, or experience integrating third-party AI APIs such as OpenAI or Anthropic.
- Knowledge of networking infrastructure.
- Cybersecurity experience - a strong advantage.
- Ability to learn quickly and adapt to new technologies.
- Strong teamwork and collaboration skills.
 

Responsibilities:
- Take full ownership of features, from product design through deployment, including end-to-end feature architecture.
- Plan, design, and develop systems with complex performance and scalability requirements.
- Design, maintain, and contribute to the company’s code infrastructure.
- Design, build, and maintain robust, scalable server-side architecture.
- Integrate with Large Language Models (LLMs) and vector

About Revenue Grid

Revenue Grid is a revenue intelligence platform that helps businesses identify and prevent revenue leaks at any stage of the revenue generation process. It does this by automatically capturing relevant sales activities, analyzing data with AI, supporting improvements to sales processes, and measuring the effectiveness of those changes.

Built natively on Salesforce, Revenue Grid covers the full sales cycle (from the first touchpoint to closing and upselling) helping teams analyze, execute, and optimize their growth strategies.

We are a US-Ukrainian software product company headquartered in the United States and globally recognized for our enterprise integration solutions.

Role Overview

We are looking for a Technical Advisor / L2 Technical Support Engineer who will primarily support the SAP Cloud for Customer (C4C) Server-Side Integration project.

Depending on workload and the duty schedule, you will also provide cross-coverage for the Revenue Grid for Salesforce product, including direct communication with customers.

You will act as the second line of technical support: taking escalated or unclear technical issues, reproducing them, collecting and analyzing relevant evidence, identifying the root cause, and either resolving the issue independently or preparing a complete escalation package for the Development team.

This role is a strong fit for someone who enjoys investigating complex technical issues, working directly with customers, and understanding how integrations behave across different systems.

Responsibilities

• Provide L2 technical support for the SAP C4C SSI for Groupware product line, including Outlook Add-In, background Server Sync, and Admin UI.
• Process tickets escalated from L1 and partner support teams: reproduce issues, determine their scope (single user, tenant-wide, or cross-tenant), and drive investigations to root cause.
• Analyze browser-side evidence for interactive issues, including HAR traces, browser console output, request/response payloads, and HTTP status codes.
• Investigate background synchronization issues by analyzing sync job logs and sync dumps and tracing items through the synchronization flow.
• Troubleshoot mailbox authentication and provisioning scenarios, including delegated/user-level and application-only access, Microsoft Graph and legacy EWS, OAuth consent, admin approval, 401/403 errors, and auto-provisioning failures.
• Investigate application telemetry in Azure Application Insights and correlate backend events with customer-reported timestamps.
• Review and adjust tenant and user configuration in the Admin UI and validate settings against expected product behavior.
• Prepare complete escalation packages for L3 / Development, including a clear issue description, consistent evidence, exact timestamps with time zones, expected vs actual behavior, and troubleshooting steps already completed.
• Meet response and resolution SLAs based on ticket priority (Critical / Severe / Medium / Low).
• Identify recurring issues and convert them into knowledge base articles, troubleshooting guides, and reusable response templates.
• Report product bugs and improvement requests to Product and R&D teams based on reproducible evidence.
• Provide cross-coverage for Revenue Grid for Salesforce during peak workload and duty days, including Ukrainian public holidays.
• Communicate directly in English with partner support teams and enterprise customers, both in writing and during technical calls.

Required Skills

• 5+ years of experience in technical support within a software product company.
• Excellent spoken and written English for daily communication with international partner teams and enterprise customers.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
• Strong analytical, troubleshooting, and problem-solving skills with the ability to work from evidence to root cause rather than from assumptions.
• Hands-on experience supporting web-based applications, including browser developer tools, Network/HAR analysis, and console error interpretation.
• Experience investigating and interpreting application logs.
• Practical understanding of Microsoft 365 / Exchange / Outlook, including mail and calendar data, mailbox permissions, and modern authentication concepts such as OAuth.
• Familiarity with REST and SOAP APIs, JSON and XML data formats, and basic SQL.
• Experience with ticketing and documentation tools such as Salesforce Service Cloud, ServiceNow, Jira, Zendesk, Freshdesk, or similar.
• Ability to create and maintain technical documentation and user-facing materials in English.
• Readiness to work within an 8-hour schedule overlapping with EU and US customer hours.
• Product- and customer-focused mindset with strong ownership of the issues you handle.

Nice to Have

• Experience with SAP Cloud for Customer (C4C), SAP CRM, or another enterprise CRM or ERP platform.
• Experience with the Salesforce platform.
• Experience supporting Outlook web add-ins or Chrome extensions.
• Hands-on experience with Microsoft Graph API and/or Exchange Web Services (EWS).
• Experience with Microsoft Azure, Azure Application Insights, and KQL.
• Experience with Google Workspace integrations, including Gmail and Google Calendar.
• Experience in B2B or enterprise SaaS support, especially in OEM or partner-facing support models.
• Familiarity with AI-powered tools such as Claude Code and their use in technical support workflows.

Working Conditions & Perks

• Remote work with a flexible 8-hour schedule within the 11:00 AM-11:00 PM Kyiv time window. Start and finish times can be adjusted by prior agreement.
• Participation in a duty rotation covering Ukrainian public holidays when the partner’s and customers’ business days continue as usual. Duty days are compensated for.
• Primary assignment to the SAP C4C project, with cross-coverage for Revenue Grid for Salesforce depending on workload and the duty schedule.
• A friendly, informal, and knowledge-sharing environment with strong technical expertise within the team.
• Opportunity to work on enterprise-grade integrations used by global companies and collaborate directly with a major international technology partner.
• Professional growth opportunities toward L3 support, Technical Account Management, or product-side roles.
• Competitive salary and performance-based bonuses.
• Unlimited paid vacation and unlimited paid medical leave.
• Partially or fully covered professional training and certifications when relevant to the role.

We are seeking a CMO to lead our brand marketing, build a robust acquisition engine, optimize regional strategies and partnerships, and drive measurable financial growth.

Format: Full remote / Hybrid / Office [Limassol, Cyprus]

About the Company

An iGaming group with four brands (online casino and betting) operating within a single ecosystem: a shared team, technological platform, and affiliate program. We have an active audience in the Runet, Latin America, and European markets, with payment processing in fiat and crypto.

Goal of the Role

You will take charge of the marketing for all four of the group's brands and build an acquisition machine with measurable ROI: from the strategy for each GEO to ownership of the marketing P&L. The role reports directly to the CEO and involves direct management of a team of 20+ people (SEO, PR/Promo Team, Affiliates, SMM).

What You Will DoStrategy and P&L

• Develop marketing strategy across brands, GEOs, and channels; define the positioning for each brand.
• Own the marketing P&L: manage the GGR → NGR → Contribution Margin chain, control bonus costs, and track cohort payback on acquisition spend (payback by FTD cohorts).
• Set and break down KPIs: traffic, conversion, CPA, LTV, NGR, bonus cost/GGR.
• Form, defend, and manage the marketing budget broken down by brands and GEOs.

Acquisition and Partnerships

• Manage all paid and organic acquisition channels.
• Develop the affiliate network: negotiate RevShare / CPA / Hybrid terms, evaluate partners by NGR cohorts, and monitor traffic quality and bonus abuse.
• Conduct direct negotiations with media, agencies, influencers, and traffic partners.

Team

• Lead the acquisition team (SEO, PR/Promo Team, Affiliates, SMM): handle hiring, set KPIs, build motivation systems, and mentor team leads.
• Coordinate with product, analytics, BI, and CRM teams; provide regular reporting to C-level executives.

Brand and Product

• Oversee the production of creatives, ensure a consistent tone of voice for brands across GEOs, and conduct A/B testing.
• Participate in retention and CRM mechanics: welcome flows, reactivation, and the bonus system.
• Represent the company at SiGMA, ICE, iGB, and other industry events.

What Is Important to Us

• 5+ years in iGaming / betting marketing, including 2+ years as a Head of Marketing or higher.
• Proven experience simultaneously managing multiple brands or products.
• Deep knowledge of the Runet and LatAm markets.
• Practical experience within the affiliate ecosystem: understanding RevShare / CPA / Hybrid models, calculating effective CPA accounting for LTV, and evaluating partners by NGR cohorts.
• Experience working with .com brands: understanding the specifics of payment infrastructure (P2P, crypto, PSP rotation) and its impact on deposit conversion.
• Experience managing a team of 10+ people and a budget of $1M+ per year; making decisions based on unit economics.
• Confident work with data: Google Analytics 4, Power BI, and internal BI systems.

Nice to Have

• English and/or Spanish for working with LatAm and European markets.
• Experience publicly representing the company at industry conferences.

Conditions

• Compensation: Fixed salary + performance bonus tied to results.
• Employment: B2B contract / legal entity, Cyprus jurisdiction.
• Fully remote work or hybrid format.
• Access to data and analytics tools to ensure you can work without blind spots.
• 20 vacation days, 5 day-offs, 15 sick days, plus additional days off.
• Participation in key events (SiGMA, iGB, etc.); training, language courses, certifications, and industry conferences at the company's expense.

Hiring Process

Screening with a recruiter (30 min) → Interview with CEO + COO (60–90 min) → Test assignment (if necessary) → Final interview and Offer. Feedback is provided at each stage within 2 business days.

About the role

We are a Belgian B2B SaaS company developing web applications for business process automation.

Our core product, HyperPortal, is a no-code platform that helps organizations automate workflows and build structured databases without requiring technical knowledge.

We are looking for a Medior Automation Implementator to join our team and work with customers in France. You will analyse their business processes, design automation solutions and implement them using our platform.



You must be based in France and speak French at B2–C1 level or higher.

You will also need good spoken and written English.

Ukrainian is a plus.

What you will do

• Analyse customer business processes and requirements
• Translate business needs into practical automation solutions
• Design and implement complex workflows in HyperPortal
• Build structured and scalable data models
• Document solutions clearly
• Present and explain implementations to customers
• Communicate with customers throughout the implementation process
• Coordinate with our internal teams
• Take ownership of implementations from requirements to delivery

What we are looking for

• 3+ years of experience with workflow automation or no-code platforms
• Experience with tools such as n8n, Make.com, Zapier, Airtable or similar
• Strong business and functional analysis skills
• Ability to independently implement complex automations end-to-end
• Good understanding of workflows, data structures and automation logic
• Strong communication and customer-facing skills
• French: B2–C1+
• English: good written and spoken level
• Russian or Ukrainian is a plus

Experience with n8n, Make.com or Airtable is especially relevant. You will not work with these tools directly — you will use our own no-code automation platform, which follows similar principles.
 

About the client

Our client is a leading European online car marketplace, connecting car buyers and sellers across the continent. The platform serves over 30 million monthly users and operates across 18 countries, making it one of the largest and most trusted digital marketplaces for vehicles in Europe.

About the role

As a Senior Data Scientist, you will be a key contributor within the client's global Data Science organization, shaping the AI and machine learning systems that sit at the core of marketplace platforms across Europe and Canada. You will design, build, and operate machine learning and GenAI systems that run in production and matter to the business — working on complex, ambiguous problems, exercising strong technical judgment, and taking responsibility for outcomes, not just models.

While this is a hands-on role, you will also influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed.

Responsibilities:

• Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvement.
• Make sound architectural and methodological decisions for ML systems on AWS, balancing robustness, observability, cost, and long-term maintainability.
• Partner closely with Product, Engineering, and Business leaders to turn ambiguous problems into ML-enabled product solutions with clear outcomes.
• Operate and evolve ML systems deployed across multiple countries and markets, accounting for differences in data distributions, regulations, and constraints.
• Mentor other data scientists through hands-on technical guidance, design reviews, and shared ownership of systems.
• Raise the bar for engineering practices across the Data Science organization and influence technical direction beyond your own projects.

Requirements:

• 5+ years of experience building and owning production ML systems end-to-end in a real-world environment.
• Advanced degree in Computer Science, Engineering, Mathematics, or a comparable field.
• Strong hands-on expertise in Python and modern ML frameworks, with the ability to ship, operate, and evolve ML systems in production.
• Solid experience with AWS and MLOps practices, including deployment, monitoring, and operating ML systems at scale.
• Practical experience applying GenAI / LLMs in applied or production contexts, with a clear understanding of trade-offs and limitations.
• Ability to influence technical decisions through clear judgment and collaboration, not formal authority.
• Experience supporting and guiding more junior data scientists through hands-on collaboration, code reviews, and technical feedback.
• Strong sense of ownership and accountability for outcomes, with a pragmatic approach to trade-offs and delivery.
• Excellent verbal and written English skills.

N-iX is looking for a Senior Scala Software Engineer to join the Aggregates Engineering Team to help redefine how the world handles business intelligence.

Our customer is the semantic layer for modern data and AI. They bridge the gap between complex cloud data platforms—like Snowflake, Databricks, and Google BigQuery—and the business users who need consistent, AI-ready analytics. 

Responsibilities:

• Architect the Core Lifecycle: Design, build, and evolve the aggregate system that defines, manages, and optimizes aggregates to accelerate query performance across data platforms.
• Optimize Intelligent Performance: Architect the prediction and selection logic that identifies high-value aggregates and analyze query workloads to guide placement strategies.
• Scale High-Impact Systems: Improve maintenance and scheduling processes to ensure reliability and low overhead in large-scale environments, ensuring the system scales smoothly.

Requirements:

• 6+ years of professional software engineering experience and a BA/BS in Computer Science or a related field.
• Strong programming expertise in Scala and ideally have experience with Scala worker systems like Akka or Pekko.
• You can reason about complex system behavior, lifecycle state, and performance tradeoffs while maintaining a focus on production reliability.
• Experience with data warehouse concepts (Snowflake, BigQuery, etc.) and containerization technologies (Docker, Kubernetes).
• Excellent communication skills and are comfortable working across query planning and platform teams.
• You are based in or able to work Eastern/Central European Time hours.

About MyTaxiCRM

MyTaxiCRM is a fast-growing global B2B SaaS startup building an all-in-one ERP and BI platform for taxi and ride-hailing fleet management. We help fleet operators across Europe, the Middle East, and Central Asia run their businesses more efficiently through a single, unified system.

Our platform integrates with leading mobility services like Uber, Bolt, and Careem, and provides tools for driver and vehicle management, dispatching, GPS tracking, fraud prevention, and real-time analytics — enabling fleets to improve operational efficiency by up to 30% within the first month.

Now we’re looking for a Sales Manager to own sales activities — from first outreach to demo and close.

Key Responsibilities

• Generate leads and conduct cold outreach to potential B2B clients (email, LinkedIn, calls, etc.)
• Qualify prospects, understand their needs, and present the product
• Run product demos and conduct sales calls
• Drive deals to close: follow up, handle objections, and convert leads into clients
• Maintain and update deal and activity data in CRM
• Track outreach volume and pipeline traction

Requirements

• 6–12 months of experience (B2B is a plus)
• Strong communication and presentation skills
• English B2+ is a must (other languages are strong plus)
• Comfortable using AI tools in daily work
• Curiosity, proactivity, and genuine love for sales

What We Offer

• Fast professional growth in B2B sales
• Direct mentorship from an experienced sales leader
• Work with international clients across MENA and Europe
• Performance-based compensation: base + commission
• Fully remote or hybrid (Kyiv) work format
• Flexible working hours (start your day between 8 and 10 AM)
• High-pace environment with quick decision-making

Sounds like a fit? We'd love to hear from you!

Nobody taught our generation how money works.

We earn, we spend, we mean to save  and somehow the year ends the way it started. Financial literacy is the one thing nobody teaches you, and the one thing everyone assumes you already have.

GRO is an AI powered financial companion for exactly those people: Gen Z and Millennials that teaches you money instead of just tracking it.

https://www.joingro.com/

Our mission is to teach the next generation what nobody taught ours.

Our stage: Pre-seed closed, public beta and launch before the end of this year. 

WHO YOU'D BE JOINING

Four founders. 

Our CTO is building the Companion - the LLM layer, the memory, the architecture intent.  You'd be the person who turns it into something people can actually hold: the app, the backend, the money layer, the release pipeline.

First engineer in, which means you're not inheriting anyone else's decisions. You're making them. Hands-on all the way through beta  and if you want to grow into leading the team you help hire, that path is open and it's yours to take.

First six months: a native app live on both stores, a backend that's secure and observable, and a release process the team can run without you in the room. Then: open banking integration, SOC 2 groundwork, and the kind of engineering a Series A technical diligence doesn't flinch at.

WHAT'S YOURS

— The app. React Native / Expo. Performance, offline behaviour, native builds, OTA.

— Store releases. App Store and Google Play, signing through post-launch.

— Backend and the money layer. NestJS, Prisma, Postgres, OpenAPI. Idempotency, audit trail, tenant isolation.

— Platform, security and compliance. Shared with the CTO, executed by you — CI/CD, IaC, secrets, observability, GDPR, SOC 2 path, QCB readiness.

— The boundaries that matter. The deterministic money core and the education-not-advice line, enforced in code rather than in disclaimers.

WHO WE'RE LOOKING FOR

— You've shipped and operated a consumer financial product. Real users, real money, real incidents.

— Your React Native or Expo apps are live on both stores, and you handled signing, review and everything after launch.

— Node and TypeScript backend depth is real - NestJS or equivalent, Postgres, contract-driven.

— CI/CD, Terraform, secrets and observability are just how you work. Not a task you get to later.

— Security-first by instinct: auth hardening, idempotency, audit trails, PII, threat modelling.

— You're comfortable with a clean line: the CTO owns the Companion and the architecture intent, you own everything around it. That takes trust in both directions.

— English C1 or above. It's our working language.

NICE, NOT REQUIRED

Open banking aggregators (Tarabut, Plaid or similar) - a dedicated expert owns that bridge, you'd partner with them. SOC 2 or ISO 27001 audits. Cost and eval discipline for LLM-powered apps.

THE SETUP

Remote. Full-time. A path to founding team member, working directly with the CTO. Compensation and equity could be discussed directly.

We're small enough that you'll know why every decision got made, and early enough that a part of them will be yours.

About

We’re looking for a senior ML/AI Engineer to build Stream, a new conversational interface. As an ML/AI engineer, you will architect, build, and deploy a new interface which spans voice, audio, and agentic control. This role is perfect for someone who cares deeply about real-world ML deployment and low-latency voice interactions.

Responsibilities

• Design and improve user-facing experiences, including voice, audio, and agentic control.
• Develop, evaluate, and deploy models spanning cloud models to resource-constrained on-device settings
• Optimize inference pipelines for latency, reliability, and concurrency

• Work closely with other ML/AI engineers, infrastructure engineers, designers, and cofounders on existing and future products

   

Qualifications

• 4+ years in artificial intelligence or machine learning applications
• Experience shipping ML-based products is required
• Experience in large-language models is required
• Experience in audio / voice ML is a major plus
• Comfortable writing production-grade software
• Passion for human-computer interaction

WHO WE ARE 💫

Hi, we’re BetCare.

Our company specializes in multilingual customer care where we put heavy focus on sales, conversion, and customer reactivation strategies. Our clients are primarily from Europe, Canada, and Australia, so we operate in licensed markets globally.

Our team members’ strongest skills are Positive Language, Care and Sales. Our approach to every contact is to provide an excellent service experience in order to open up the customer to a sale.

WHO WE ARE LOOKING FOR 😎

We are looking for a Shift Supervisor with at least one year of experience in a similar role and a minimum of Upper-intermediate English proficiency to join our international team and contribute to our diverse workplace

In this role, you will oversee our customer support team during the shift, guide and mentor the team, and work closely with high-level customer support inquiries.

We don't care about your background - you are yours, as they say - though this position has its requirements and ground rules: you have to be a personable and reliable team player with a customer service mindset, ability to multitask and think on your feet whilst calmly handling customer and team inquiries with a smile.

We value: respect, transparency, commitment, responsibility, attention to detail, fun.
We despise: dishonesty in any form, exaggerated snobbism, unprofessional work ethics.

MAIN RESPONSIBILITIES 🦾

• Email processing
• Providing guidance to agents during the shift on customer-related cases
• Consulting with the team on complex or unusual cases
• Managing the break schedule for agents during the shift
• Communicating brand-related updates to the team (via Slack, Zendesk)

• Chat, document and payment processing when required (not daily)

   

A FEW MUSTS ❗

• Have at least one year of experience in the IGaming industry in roles such as Senior Customer Support, Shift Supervisor or Team Leader.
• Experience with SoftSwiss and/or similar admin panel and proficiency in chat and email support. 
• Strong understanding of customer service principles.
• Be fluent in written and spoken English (this is the official office language).
• Be interested in learning about iGaming and increasing your tech knowledge.
• Be happy to work different shifts: our Customer Services Department is open 24/7 (be ready to have 2-night shifts from 5 weekly.

WHAT WE OFFER 💎

• Fully remote work. In case you are Lviv based - ability to attend the office (which is absolutely pet friendly 🐶).
• Extensive training program, which will help you to learn a new field and best practices. (It is fully paid after successful completion).
• Diverse paid times off: Vacation, Recreation days, Birthday off, Sick leaves.
• Presents and bonuses from the company.

Can you relate to this? If your answer is "Hell Yes", contact us here!

T H E  R O L E
Own the intelligence layer of Rx360 — the models that turn continuous sensor and medication data into a working understanding of each individual we serve, and turn that understanding into actions that help them stay independent. You will set the ML architecture, build the longitudinal modeling stack from raw signal through to user-facing recommendation, and define how our models and our conversational companion work together.

W H AT Y O U ' L L D O
Own the ML architecture for personalized health intelligence — per-user baselines, N-of-1 and hierarchical models, and the strategy for learning from one individual's history rather than a population mean.
Build the digital biomarker stack on raw wearable signal: gait and cadence, sit-to-stand and postural transitions, activity classification, sleep and circadian structure, and cardiovascular trend from IMU and PPG streams.
Design change detection and event-association models that link medication starts, dose adjustments, and adherence gaps to downstream behavioral shifts — with defensible handling of confounding, lag structure, and multiple comparisons.
Turn a detected change into a recommendation: what to surface, to whom (the individual, family, pharmacist, or provider), with what urgency — and when the right answer is to say nothing.
Build the data and training infrastructure that carries high-frequency time-series from device ingestion through feature generation, training, serving, and monitoring.
Own evaluation. Offline benchmarks, labeled ground truth from pilot cohorts, calibration and drift monitoring, and the false-positive budget that decides whether people trust what we tell them.
Ground our conversational companion in real signal. Our AI companion runs on a large language model inside our
HIPAA-compliant cloud environment; you will connect it to per-user model output and own the evaluation and post- training work that keeps its guidance accurate, useful, and safe.
Push inference to the edge where latency, privacy, or battery demand it, working directly with the firmware and hardware teams on what runs on the band versus in the cloud.
Direct AI coding agents to accelerate implementation while holding a rigorous quality bar — the way the rest of our engineering team works.
Partner with clinical collaborators, including our university pilot, to design studies that produce the labeled data these models actually need.
Set technical direction and raise the bar for ML across the team.

R E Q U I R E D
6+ years in machine learning, including systems you have shipped to real users and operated in production — not only research or prototypes.
Deep experience with time-series or sensor data: physiological signals, IMU / accelerometry, or comparable high- frequency multivariate streams.
Demonstrated work in individual-level modeling — per-subject baselines, hierarchical or Bayesian methods, anomaly and change-point detection, or models that adapt as data from a single person accumulates.
Strong applied statistical judgment. You can separate a real effect from a coincidence in observational data, and you know exactly where a causal claim stops being defensible.
Production-grade Python and PyTorch (or equivalent). You write software other engineers are willing to maintain.
Ownership of the full lifecycle: data pipelines, training infrastructure, deployment, monitoring, and retraining.
Experience with large-language-model evaluation and post-training — grounding and retrieval, structured output, eval harnesses, and guardrails.
Cloud-native ML at production scale (AWS preferred).
Fluent use of AI development tools (Claude Code, Cursor, Copilot, or equivalent) with the domain depth to catch where generated code fails silently.
Clear, direct communication. You can set direction across firmware, backend, mobile, design, and clinical stakeholders.

N I C E T O H AV E
Wearables, digital biomarkers, gait analysis, fall risk, or human activity recognition.
Self-supervised or foundation-model approaches for wearable time series, and comfort working under real label scarcity.
Causal inference on observational data — interrupted time series, difference-in-differences, or synthetic control.
Medication-effect modeling: polypharmacy, adherence, or PK/PD intuition.
On-device and edge ML — quantization, distillation, TinyML, inference under a power budget.
Regulated environments: HIPAA and PHI handling, model governance, or the general-wellness boundary.
Clinical research collaboration and IRB-governed data.
Voice or audio ML.

W H Y T H I S R O L E I S D I F F E R E N T
G R E E N F I E L D
You are defining the intelligence layer, not maintaining someone
else's. The architecture decisions are yours to make.
R E A L S I G N A L
Continuous, longitudinal, multi- stream data from a device we build
ourselves — with the firmware team a message away.
I T M AT T E R S
A model that catches a medication effect three days early changes
whether someone keeps living in their own home.

H O W W E W O R K
Mission comes first.
The work has real impact on people's lives. We take that
responsibility seriously.
Thoughtful technology.
Technology should simplify life, not complicate it.
Respect for independence.
The people we build for value autonomy and dignity.
Everything we create reflects that.
Curiosity.
We encourage questions, experimentation, and new ways
of thinking.

A B O U T R X 3 6 0
Rx360 is a wellness platform for older adults who want to keep living on their own terms — and for the families, pharmacists, and providers around them.
The wearable is a wrist-worn band we design in-house, carrying a PPG sensor for cardiovascular signal, a six-axis IMU for motion, gait, and posture, and on-device fall detection. The iOS and Android apps give the individual a plain- language view of their own day and their medications, and open a shared circle of care to the family members they choose to include.
Rx360 is a U.S. company headquartered in Los Angeles, California, with a distributed engineering team. Hardware, firmware, mobile, backend, and machine learning are all in-house.

About ByChat FinOps

ByChat FinOps is a production-ready B2B AI platform that helps organizations understand, analyze, and optimize cloud infrastructure costs across AWS.

Our platform combines cloud billing data with Generative AI, enabling users to ask natural language questions such as:

• Why did our cloud costs increase this month?
• Which services generate the highest expenses?
• Will we exceed our budget next quarter?
• Where can we reduce infrastructure costs?
   

Behind the scenes, intelligent LLM Agents work with cloud APIs, read-only SQL queries, billing datasets, forecasting models, anomaly detection algorithms, and FinOps analytics to deliver accurate, explainable business insights.

ByChat FinOps is an actively growing production product where AI reliability, security, scalability, and measurable business value are our highest priorities.
 

About the Role

We are looking for a Senior / Lead ML Consultant to support our engineering team on a part-time basis and provide expert guidance on the architecture, development, evaluation, and optimization of our AI/ML capabilities.

This is primarily an advisory and technical leadership role rather than a full-time hands-on engineering position.

You will work closely with our AI/ML engineers and technical team, review existing approaches and processes, identify potential risks and inefficiencies, and provide practical recommendations for improving the quality, reliability, and efficiency of our AI systems.

We expect you to act as a senior technical advisor and sparring partner for the team, helping us validate technical decisions and ensure that our ML/LLM practices meet production-grade standards.
 

What You'll Do

Your responsibilities will include:

• Review the architecture and implementation of our AI/ML and LLM-based solutions.
• Provide regular technical feedback to AI/ML engineers and help validate key engineering decisions.
• Review existing ML/LLM development processes and recommend improvements.
• Evaluate the effectiveness, reliability, and scalability of current AI workflows.
• Advise the team on the design of LLM Agents, sub-agents, tool calling, structured outputs, and agentic workflows.
• Review approaches to prompt engineering, context management, guardrails, validation, retries, and hallucination mitigation.
• Assess and improve LLM evaluation methodologies, automated testing, golden datasets, and quality metrics.
• Advise on AI observability, tracing, monitoring, and production quality control.
• Review Text-to-SQL approaches and help ensure safe and reliable interaction with financial datasets.
• Provide guidance on anomaly detection, forecasting, and other ML components used within the platform.
• Identify performance bottlenecks and opportunities to optimize LLM latency, token usage, infrastructure usage, and operational cost.
• Help the team evaluate new AI/ML technologies, frameworks, models, and architectural approaches before introducing them into production.
• Participate in technical discussions and architecture reviews for complex AI-related features.
• Mentor engineers and help strengthen the team's ML/LLM engineering practices.
• Help establish practical engineering standards and best practices for building production-grade AI systems.
   

What We Expect

Must Have

• Strong senior-level commercial experience in Machine Learning / AI Engineering, ideally including technical leadership or consulting responsibilities.
• Proven experience designing and reviewing production AI/ML systems.
• Strong practical experience with modern LLM applications and Agentic AI systems.
• Deep understanding of:
  • LLM Agents and agentic workflows
  • Prompt Engineering
  • Function / Tool Calling
  • Structured Outputs
  • Context management
  • Hallucination mitigation
  • Guardrails and validation
  • Retry and fallback strategies
• Strong understanding of ML/LLM evaluation methodologies and how to measure AI system quality in production.
• Experience with AI observability, tracing, testing, and monitoring.
• Strong Python and SQL knowledge with the ability to review implementation and architecture decisions.
• Understanding of statistics, anomaly detection, forecasting, and data-driven system evaluation.
• Experience identifying technical risks, architectural weaknesses, and performance bottlenecks.
• Ability to translate complex technical findings into clear, practical recommendations for an engineering team.
• Strong communication and mentoring skills.
• English sufficient for technical discussions, documentation, and regular communication with the team.
   

Nice to Have

• Previous experience as a Lead ML Engineer, ML Architect, AI Architect, Staff/Principal ML Engineer, or ML Consultant.
• Experience with LangChain, LangGraph, or other Agent frameworks.
• Experience with AWS Bedrock, Claude, or other managed LLM platforms.
• Experience with FinOps, cloud billing, or cloud cost optimization.
• Knowledge of:
  • AWS CUR
  • AWS Cost Explorer
• Experience with Langfuse, LangSmith, RAGAS, or similar AI observability and evaluation platforms.
• Experience designing evaluation pipelines and golden datasets for LLM applications.
• Experience with forecasting and time-series analysis.
• Experience processing large financial or billing datasets.
• Understanding of multi-tenant architectures and secure AI tool execution.
• Experience optimizing LLM latency, token usage, and operational costs.
   

Technology Stack

• Python 3.12
• FastAPI
• LangChain
• LangGraph
• AWS Bedrock
• PostgreSQL
• SQL
• Langfuse
• RAGAS
• Docker
• Next.js / TypeScript
   

Engagement Format

• Part-time consulting engagement
• Flexible involvement based on project and team needs
• Regular technical reviews and consultations with the AI/ML team
• Architecture and solution reviews for key AI/ML initiatives
• Focus on technical guidance, quality assurance, process improvement, and mentoring rather than day-to-day feature implementation
   

Why Join Us?

• Influence the technical direction of a real production AI product without committing to a full-time role.
• Work on challenging problems at the intersection of Generative AI, Agentic AI, Cloud, and FinOps.
• Help shape the architecture and engineering practices behind production-grade AI systems.
• Work with a team that values measurable AI quality, reliability, security, and business impact.
• Apply your senior-level expertise where it has the highest impact: technical decisions, architecture, evaluation, optimization, and team development.
• Stay close to modern AI technologies while working in a flexible consulting format.

We are looking for a Senior Product Manager with hands-on crypto casino experience to take full ownership of the casino product — from product strategy and player insights to business performance and growth.

This is not a delivery-focused Product Owner role. You will be responsible for where the product goes, why we prioritize certain initiatives, and how those decisions impact key business metrics.

You’ll work closely with a Product Owner who owns backlog execution and delivery, while your focus will be on product strategy, discovery, player behavior, market opportunities, experimentation, and commercial results.

The main goal is simple: continuously improve the casino product and player experience while driving conversion, retention, monetization, and LTV.

🎯 What you’ll own

• Product vision, strategy, and roadmap for the crypto casino vertical.
• Player journey across onboarding, KYC, deposits, withdrawals, game discovery, bonuses, and personalization.
• Product discovery based on player behavior, transaction data, game performance, market research, and competitor analysis.
• Core casino metrics: GGR, NGR, conversion, retention, churn, ARPU, LTV, reactivation, and bonus efficiency.
• Understanding different player segments and identifying what drives deposits, engagement, retention, and monetization.
• A/B testing and product experiments — from hypothesis to measurable business results.
• Collaboration with Retention and VIP teams to increase repeat deposits and long-term player value.
• Optimization of crypto payments, wallets, multi-currency flows, and related user experiences.
• Analysis of revenue and profitability drivers, including bonuses, payment fees, provider costs, and chargebacks.
• Translation of business goals and product insights into clear priorities for Product Owner and cross-functional teams.
•  

✅ What we’re looking for

• 4+ years of Product Management experience in iGaming.
• Proven hands-on experience with crypto casino products — this is important for the role.
• Strong understanding of casino mechanics: slots, live casino, bonuses, player lifecycle, retention, and reactivation.
• Experience owning product and business KPIs rather than simply delivering features.
• Strong analytical mindset and confidence working with funnels, cohorts, experiments, and product/business metrics.
• Ability to independently identify opportunities, build hypotheses, prioritize them, and measure the impact.
• Strong understanding of UX and experience optimizing high-impact player journeys.
• SQL knowledge or hands-on experience working directly with analytics and back-office data.
• Comfortable working with a high level of ownership, autonomy, and fast decision-making.
•  

🧠 The mindset we value

We’re looking for someone who thinks “What will move the metric?” rather than “What feature should we build next?”

You’re curious about why players behave the way they do, comfortable challenging assumptions, and able to change direction when the data tells a different story.

You move fast, test hypotheses, measure results, and iterate.

🎁 What we offer

💰 Competitive compensation package
🚀 High ownership and real influence on product and business decisions
💼 Strong senior-level team
⚡ Fast decision-making, minimal bureaucracy, and flexible processes
🏡 Remote-first setup — work from anywhere
🎓 Learning budget, internal knowledge sharing, external courses, and certifications
🍺 Healthy work-life balance — no overtime or micromanagement
💻 MacBook, Starlink, PowerBank, and other necessary equipment
👶 Maternity and childbirth bonuses
🔔 Additional internal benefits and perks