Jobs at Djinni

Avelor is a software engineering team that builds engineering teams for businesses in the US and Europe.

We connect companies with tech specialists who become part of our clients’ teams and work directly on their products and projects.

As a young and fast-growing team, we are actively building and improving our processes. Joining Avelor at this stage is a chance to grow together with the company, share your ideas, and have a real impact on the way we work.

About the Role

We are looking for a Manual QA Engineer who has completed QA courses or already has some practical experience in software testing. 
You will start on a new project for an international client and work closely with our QA Lead. This will give you a chance to learn our processes, get real project experience, and take on more responsibility step by step. After your probation period, you will be able to work on other international projects, take part in client interviews, and communicate directly with clients.

What You’ll Do

• Test web applications: functional, regression, cross-browser, and responsive testing
• Review requirements and ask questions when something is not clear
• Create test cases, checklists, and bug reports in English
• Share testing progress and results with the team and clients
• Use AI tools to help with daily QA tasks, research, and documentation
• Work closely with the QA Lead and learn from regular feedback

What We’re Looking For

• Completed QA courses and/or 6+ months of practical experience in Manual QA
• Understanding of QA basics: testing types, bug life cycle, and basic test design techniques
• Ability to create clear and easy-to-understand bug reports
• Basic knowledge of Browser DevTools, including Console and Network
• English at Upper-Intermediate (B2) level or higher
• Ability to use AI tools for everyday work
• Proactive attitude, willingness to learn, ask questions, and take responsibility for your work

Nice to Have

• Experience working with international clients or teams
• Basic API testing skills with Postman
• Experience with Jira, Linear, Trello, or other task-tracking tools
• Experience testing websites on mobile devices and emulators
• Interest in learning test automation

What We Offer

• Flexible schedule & remote-first work - work from a comfortable location and plan your day around project meetings and team agreements.
• Grow with Avelor - join us at an early stage, share your ideas, and help us improve the way we work.
• International projects - work with clients from the US and Europe and use English in your daily work.
• Professional growth - opportunities to develop your skills and grow within the team.
• Personalized onboarding - structured support to help you understand our processes and start working comfortably.
• Time to recharge - paid vacation and sick days.

Hiring Process

👋 Recruiter Interview → 💻 Technical Interview → 🤝 Culture Fit Interview → Offer

Interested?

Send us your CV - we’d be happy to get to know you 👋

Overview

Would you like to expand your expertise in cloud and manage Azure-based projects? 

We are looking for a Remote PM for an international company. 

Company –  a leading Microsoft partner providing cloud services in Europe and East Asia. 

A variety of client domains and a highly professional team.

Main Responsibilities

We are not looking for a statistician or a mere process observer. We expect our Project Manager to be a proactive leader who understands that the core function of the PM role is to ensure real delivery and tangible project outcomes. Success in this position means driving the team towards the final result, overcoming obstacles, and taking responsibility for the actual implementation and completion of initiatives.

Mandatory Requirements

– 3+ years of experience managing IT projects (preferably as a Project Manager (Azure cloud)

– Practical knowledge of modern project management methodologies (Agile/Scrum, Kanban, Waterfall, etc.)

– Experience with project management tools (Jira, Confluence, Trello, MS Project, etc.)

– Experience working with Microsoft Azure cloud platform (project delivery, migration, integration, or management of Azure-based solutions)

– Proficiency in preparing documentation: requirements, plans, regulations, presentations

– Excellent communication skills, ability to listen and negotiate

– Strong skills in risk analysis, process optimization, and conflict resolution

– Responsibility, independence, and ability to work in a multitasking environment

– English – C

We offer

– Opportunities for professional growth and international certification

– Free of charge technical and business trainings and the best bootcamps (worldwide, including HQ Microsoft- Redmond courses)

– Innovative data and analytics projects and practical experience with cutting-edge Microsoft technologies

– Long-term employment ( not a temporary project)

– Individual development plan

– English speaking club — to develop your language level

About us:
We are a fast-growing product company seeking an experienced  Marketing Manager (part-time work) to lead marketing efforts for our mobile apps (iOS/Android). You will play a key role in shaping strategy, driving growth, and mentoring the team.

Responsibilities & Requirements:

• 3+ years of experience as a Marketing Manager in mobile products (iOS/Android).
• Strong understanding of the full mobile product development lifecycle.
• Develop and execute marketing strategies for mobile apps.
• Drive user acquisition, retention, and monetization.
• Plan and support new app launches, updates, and feature releases.
• Manage marketing budgets and optimize advertising campaigns.
• Analyze the market, competitors, campaign results, and key performance metrics.
• Run A/B tests and identify new growth opportunities.

• Collaborate with product, development, design, and analytics teams.

   

We offer:

• Part-time
• Competitive salary based on experience
• Paid sick leave and annual leave
• Fully remote work format
• Stable workload and long-term cooperation

Our client builds an enterprise LLM gateway. It connects customers’ applications and AI agents to multiple model providers through an OpenAI-compatible API. Customers register their own provider API keys. The gateway routes requests, reduces model costs, enforces policies, and tracks cost and usage per agent.

We are looking for a Senior Full-Stack Engineer with strong Python and TypeScript skills. You will build production SaaS features across the backend and frontend. Your work will cover database design, FastAPI endpoints, React screens, tests, and deployment. Features can also include Python middleware in the gateway.

Two areas will be your primary focus:

1. Payments and billing — building the commercial layer on top of the platform’s usage metering:subscription plans, usage-based billing, invoicing, credits, and entitlement enforcement.
2. Gateway guardrails and telemetry — building the policy enforcement and observability layer that makes the gateway safe, measurable, and auditable for enterprise customers.

You will join a small, senior, distributed team. You will own features through deployment and take part in architecture decisions. When needed, you will work directly with customers to define, build, deploy, and improve features that use AI.

What’s interesting about this project:

• Own features from database design to the customer interface and production deployment.
• Work with Python, FastAPI, React, TypeScript, Kubernetes, and Terraform.
• Help decide how the product works and how the team builds it.
• Build a gateway that connects customer applications and AI agents to multiple model providers.
• Measure how gateway changes affect model costs, response quality, and latency.

What you’ll work on

• Payment system integration (primary focus): Design and build the billing layer end to end — integrate Stripe (or an equivalent provider) for subscription plans, metered/usage-based charging, invoicing, credits and prepaid balances, and payment lifecycle handling.
• LLM gateway guardrails (primary focus): Design and implement the policy layer that inspects traffic flowing through the gateway.
• Telemetry and observability (primary focus): Extend the request telemetry pipeline that powers customer-facing analytics — enriching per-request records with cost, token, cache, routing, and guardrail metadata, building efficient time-series aggregations.
• Gateway middleware: Build Python hooks inside the LLM proxy. Work includes prompt compaction, model routing based on request complexity, semantic caching, and response enrichment. Keep request handling correct and latency low.
• Backend API development: Build and evolve FastAPI services with async SQLAlchemy and PostgreSQL, including multi-tenant data isolation, RBAC, session-based authentication, encrypted secret storage, and Alembic migrations.
• Frontend development: Build customer-facing features in React and TypeScript — billing and plan management, guardrail configuration, telemetry and spend analytics views, admin/provisioning screens, and the LLM playground with streamed responses.
• Multi-provider model management: Extend provider integrations, model catalogues, budgets, and rate limits so tenants can bring their own models and providers safely.

Technology Stack

• Backend: Python 3.13, FastAPI, Uvicorn, Pydantic, Poetry
• Data: PostgreSQL 16, SQLAlchemy 2 (async, asyncpg), Redis Stack
• LLM Gateway: OpenAI-compatible proxy (LiteLLM) with custom Python middleware, multi-provider model routing
• Frontend: React, TypeScript, Vite, Tailwind CSS, Chart.js
• Payments: Stripe or equivalent — subscriptions, metered billing, webhooks, invoicing
• Testing: pytest, Vitest, Testing Library
• Infrastructure: Google Cloud Platform, Kubernetes (GKE), Helm, Terraform, Docker
• CI/CD: GitHub Actions
• Observability: Prometheus, Grafana, distributed tracing
• Code quality: black, isort, flake8, ESLint, Prettier

Responsibilities

• Own features end to end across the gateway middleware, backend API, and frontend — including schema design, API contracts, UI, tests, and rollout.
• Build and operate the subscription and usage-based billing system, including payment provider integration, webhook reliability, usage-to-invoice mapping, and entitlement enforcement.
• Design and implement guardrails that inspect and enforce policy on LLM prompts and completions, with per-tenant configuration and full auditability.
• Extend the telemetry pipeline and analytics aggregations that power customer-facing cost and usage reporting, and add tracing, metrics, and alerting across services.
• Write middleware that runs in the live request path, treating latency, failure modes, and graceful degradation as first-class design concerns.
• Design multi-tenant data models with correct isolation between organizations, workspaces, and keys.
• Write meaningful automated tests for the code you ship.
• Participate in architecture decisions, code reviews, and planning; document decisions for a distributed team.
• Handle sensitive data responsibly — secret encryption at rest, least-privilege access, and audit logging.

Requirements

• 5+ years of professional full-stack experience. You have built and shipped production SaaS features across the backend and frontend.
• Strong Python skills and experience building production APIs with FastAPI (or Django REST / Flask, with a willingness to work in FastAPI), including async programming
• Strong React and TypeScript skills — comfortable with component-driven UI, SPA state management, routing, and integrating REST APIs including streamed responses
• Practical familiarity with LLM integrations, retrieval-augmented generation (RAG), AI agents, or AI tools such as Cursor, Claude Code, or Copilot. You do not need an AI research or specialist agent infrastructure background.
• Experience with Stripe or a similar payment provider. Relevant work includes subscriptions, webhooks, idempotency, proration, refunds, and usage-based billing in production.
• Solid PostgreSQL skills: schema design, migrations, indexing, and query optimization — including aggregations over large event/log tables
• Experience with multi-tenant architectures, authentication and authorization, and tenant data isolation
• You can use Docker and run services in Kubernetes. You can read a Helm chart and debug a failing pod.
• Experience with Redis or a comparable cache, and with designing for cache correctness and invalidation
• You work well in a startup with limited structure. You clarify unclear problems, choose practical solutions, and deliver them with little oversight.
• Clear written and spoken English for collaboration and documentation

Nice to Have

• Experience working directly with customers to define, build, and improve solutions.
• Experience with LLM API streaming, token accounting, rate limits, retries, and cost tracking.
• Experience building guardrails, content moderation systems — or working on trust & safety, compliance, or security tooling
• Familiarity with LLM gateways or proxies or with building an internal LLM platform
• Experience with LLM observability and evaluation tooling and with building evaluation harnesses
• Experience with usage metering and rating systems — turning high-volume event streams into accurate, auditable billable quantities
• FinOps or cloud-cost-optimization background; experience showing customers where their money goes
• Terraform and infrastructure-as-code experience on GCP (GKE, Cloud SQL, Secret Manager) or an equivalent cloud

Our benefits:

• No micromanagement
• Freedom to engage in decision-making and implementation
• Ability to work in a team of professionals (the ratio of middle and above specialists 80/20)
• Participation in the development of high-quality products
• Direct communication with clients on a partnership level
• Health insurance
• A $1,000 flexible benefits budget per individual year
• 20 paid working days off and 10 days sick leave
• Opportunity to work remotely

Join us and be among those who care!

About Altus Nova
Altus Nova combines strategy consulting, product management, and software development into a single service. We work closely with client executives and front-line teams to understand business processes, define practical solutions, and deliver value through phased roadmaps. Our work spans healthcare, financial services, ecommerce, logistics, and infrastructure. We remain accountable for the systems we build and often operate and support them after delivery.

The role
You will design, build, and evolve cloud-native back-end systems, using AI to accelerate disciplined engineering. You will independently apply agreed architectural and engineering practices, work directly with clients and teammates to clarify requirements, and own your work through validation and support. Strong engineering fundamentals and judgment are essential to directing AI effectively.

What you will do

• Analyze business workflows and requirements with clients and the product team. Surface contradictions, missing requirements, risks, and impractical assumptions before directing implementation.
• Develop technical designs, interface contracts, implementation plans, and acceptance criteria. Maintain shared specifications and decision records as requirements and solutions evolve.
• Design and build modular back-end capabilities and integrations with clear boundaries. Evaluate changes for compatibility, dependencies, security, performance, and supportability.
• Direct agentic development tools through bounded tasks and explicit instructions. Review generated changes and retain ownership of code quality and the overall solution.
• Deliver in small, testable iterations. Use focused research spikes to resolve technical uncertainty, and contribute to estimates and transparent delivery planning.

• Build automated validation and diagnostic capabilities. Work with QA and DevOps on release readiness, secure deployment, production support, and learning from incidents.

   

Required experience and engineering foundations
5+ years of professional back-end engineering experience. The 12-month AI experience requirement below is part of this total.

• Strong computer science and software engineering fundamentals, grounded in substantial hands-on back-end development with a production stack such as C#/.NET, Python, or Node.js/TypeScript.
• Hands-on production experience with at least one of AWS, Azure, or GCP, including serverless compute, messaging, data storage, identity, observability, and deployment.
• Sound understanding of API design, service and module boundaries, SQL and NoSQL data modeling, distributed systems, concurrency, and event-driven processing.
• Practical experience with automated testing, code review, source control, CI/CD, infrastructure as code, application security, and diagnosing production problems.

• Ability to read, critique, debug, and modify code and resolve technical issues independently of AI. You remain accountable for designs, implementations, and outcomes regardless of how they are produced.

   

Required experience with design time AI
Design-time AI means using AI during analysis, design, implementation, testing, and maintenance. We require practical proficiency in rigorous engineering across repeated changes to complex systems.

• At least 12 months of sustained professional AI-assisted software development within your overall engineering experience, including hands-on use of agentic coding tools such as Claude Code, Codex, or comparable tooling.
• Experience delivering production software with AI and maintaining it through multiple subsequent iterations. You can explain your specifications, architectural choices, change controls, validation, and lessons from failures. Vibe coding alone does not meet this requirement.
• Ability to apply disciplined, specification-driven development: clarify ambiguity with the appropriate owners, expose assumptions, define technical designs and acceptance criteria, and keep specifications, contracts, decisions, and implementation aligned.
• Effective delegation to AI: decompose work into bounded tasks, provide relevant context and constraints, anticipate misinterpretation, define acceptance criteria, and critically review outputs. Use adversarial review to challenge assumptions and surface gaps.
• Ability to discuss choosing models for analysis, implementation, and review based on capability, reliability, latency, and cost, and managing context and token consumption in development workflows.
• Understanding of how architectural boundaries, explicit interfaces, and contracts contain change. Explain how you would prevent or detect unintended rewrites, assess downstream effects, and maintain a complex application across iterations.
• Ability to discuss validation controls, their limitations, and when particular controls are mandatory or implementation choices. Recognize that AI-generated code and tests can share mistaken assumptions and explain how you would challenge them.

• Ability to describe how specific tools and workflows preserve shared project context and enable another engineer to continue the work. Willingness to learn and work with Altus Nova Assistant (ANA), Altus Team AI, and the AI technologies and frameworks we develop.

   

Required runtime AI understanding
Runtime AI means AI capabilities operating within deployed solutions. You must meaningfully discuss the concepts below and outline a basic production workflow. Practical runtime AI implementation experience is a strong advantage.

• Explain model limitations, context management, retrieval, structured outputs, tool use, and cloud-based agentic workflows, with the ability and commitment to mature into production implementation.
• Distinguish functionality best implemented with deterministic code from work suited to LLM reasoning. Discuss how the approaches can be combined within reliable systems.
• Discuss workload routing among models based on capability, reliability, latency, and cost. Explain context and token management and guardrails for budgets, retries, and agent execution limits.
• Discuss safeguards that reduce and detect hallucinations, including grounding, output validation, evaluation, and appropriate abstention or escalation when evidence is insufficient.
• Distinguish generating a recommendation from executing an action. Discuss least-privilege access, human review and approval, rejection paths, failure handling, observability, and recovery.

• Discuss protecting client information in development tools and runtime systems, including secrets management, prompt injection, untrusted retrieved content, and restrictions on agent access to tools and systems.

   

Communication and collaboration
- Strong spoken and written English is required. You must explain complex concepts in plain language, listen carefully, ask precise questions, and communicate effectively with client executives, subject-matter experts, and engineering teammates. Constructively challenge flawed specifications and work with their owners to resolve them.
- You must help teammates succeed, surface blockers early, and provide clear handoffs. Effective delegation to AI requires instructions others can understand and outputs you can explain and defend.
- You will work with Product Managers, Business Analysts, architects, designers, front-end engineers, QA, and DevOps. We value constructive debate, clear decisions, and helping teammates succeed. Engineers engage directly with clients, participate in planning and estimation, demonstrate their work, document decisions, and track time accurately. Production reliability is a shared priority.

Preferred experience

• C#/.NET development and experience adapting across back-end languages and frameworks.
• Production AI workflows, including model routing, retrieval, evaluations, human approval, and cost controls.

• Legacy modernization, third-party integrations, or business-critical systems in complex client environments.

   

How we assess candidates
Our process includes a collaborative, real-time whiteboard session where you analyze unfamiliar problems, clarify ambiguity, and explain your approach with the interviewers. Candidates who pass complete a practical task using AI and walk the team through the resulting specifications, implementation, and validation. You must demonstrate independent reasoning, understand the outputs, and be able to take responsibility for the outcome.

We are looking for a technical compliance professional with hands-on experience in iGaming game certification, regulatory requirements and information security. In this role, you will own the certification process end to end and act as the key compliance partner for Product and Engineering, translating technical requirements into clear regulatory guidance and ensuring products and systems meet applicable standards.

Requirements

• 3+ years in game certification, test-lab, QA or technical compliance within iGaming, experience with recognised technical gaming standards.
• Understanding of B2B game supplier operations and platform architecture.
• Information security management knowledge (ISO 27001 or equivalent).
• Able to translate technical specifications into regulatory positions and vice versa.
• Structured, evidence driven, comfortable working directly with engineers.
   

Responsibilities

• Run the game certification process end to end: pre-development compliance review, pre-submission checks, test-lab coordination, tracking and closure of findings.
• Maintain the jurisdiction product and feature allowability matrices, advise Product before development starts.
• Map technical standards (RNG, game logs, data retention, geoblocking, change management) against jurisdictional requirements.
• Review change requests for regulatory impact and recertification triggers.
• Support information security certification: control ownership, evidence collection, internal audits.
• Prepare technical compliance confirmations and system descriptions for regulators and clients.
• Coordinate penetration testing, remediation tracking and access reviews with the technology team.
   

Nice to have

• The knowledge of Game Content Providers’ work in IGaming
   

We offer:

• Challenging and exciting tasks, and all the needed tools to achieve them.
• 21 days of vacation, 5 flexible days for your needs, 15 paid sick days.
• National holidays according to the official calendar.
• Individual benefit limit to support your health and wellness needs.
• Annual bonus based on company and individual performance results.

Umbrelly.Cloud is a B2B US product company.
 
Our mission is to help businesses which use AWS reduce their cloud bill & provide world-class technical support. Umbrelly is an Official Advanced Tier Partner of AWS, and currently serving 100+ enterprises & startups from US, EU and other Tir 1 countries. 

We are looking for an Junior Partnership Manager (AWS) who will take care of our APN (AWS Partner Network):
https://partners.amazonaws.com/partners/0018W00002XmWeCQAV/Umbrelly.Cloud 

Why it’s great to build your career around AWS: 

• AWS is the world’s largest cloud infrastructure provider, generating more than $120 billion in annual revenue.
• AWS is Amazon’s most profitable business segment and one of the most important technology platforms globally.
• Cloud expertise is highly valued and well compensated — professionals with strong AWS knowledge are in demand across the market.
• You can grow fast with us: there is a clear path from Junior to Senior-level roles within 3 years, with significant growth in responsibilities and compensation along the way.
  
  What We Expect from an AWS Partner Manager:
• Huge energy, interest & ambition to grow in a specific area: AWS Partner Network (APN).
• You should be able to research and explain what are the Tiers of partnership with AWS, what is competencies, certification exams
• English both written and speaking
• You should show your previous achievements either in career, education or personal life
  
  Why Umbrelly is a Great Place to Work and Grow: 
• Clear way for career growth to Senior Roles.
• Potential to earn salary way higher then market average. We offer base salary + opportunity to earn uncapped Bonuses for Growing our AWS Partnership. Each badge, opportunity, cerfitication, new partnership level you helped to achieve would be covered with generous bonus.
• Proven product-market fit. Our model has been working successfully for 3+ years, with 100+ B2B customers closed to date.
• We already maintain Advanced Level Partnership with an AWS.
• Experienced leadership. Umbrelly.Cloud is run by an experienced C-level team and backed by prominent investors.

ORIL is seeking a highly experienced and autonomous Data Architect / Lead Data Engineer to lead a 2–3 month strategic project focusing on a comprehensive audit and redesign of our mission-critical, AI-driven real estate data platform.

The ideal candidate is a "rockstar" data expert with strong data architecture, data discovery, and data engineering expertise. You will take complete ownership of evaluating our current data layer, determining the target future state (Desired State), and defining a concrete execution roadmap for the engineering team.

About the Project

Our client is a US-based innovator providing a centralized data platform for multi-family real estate. The platform aggregates complex real estate datasets from various external integrations and sources to feed real-time BI analytics (Metabase), power automated operational insights, and drive an intelligent Text-to-SQL AI chatbot.

What are we looking for?

• 6+ years of experience as a Data Architect, Lead Data Engineer, or Senior Database Engineer;
• Proven track record of conducting end-to-end Data Discovery and Audits of complex, multi-source data architectures;
• Deep technical expertise in PostgreSQL and relational database design, including advanced query optimization, indexing, schema design, and data modeling;
• Hands-on experience with Data Quality, Data Governance, and Data Integrity frameworks (monitoring freshness, volume anomaly, schema drift, semantic metadata validation);
• Extensive background in evaluating and architecting ETL/ELT data pipelines and integrations (APIs, web scraping, CDC pipelines);
• Strong understanding of structuring metadata, schemas, and semantic layers for AI/LLM integrations (Text-to-SQL) and BI reporting tools (Metabase);
• Ability to translate complex business needs into high-level technical vision, concrete architecture blueprints, and resource estimates;
• English level: Fluent or Advanced (C1) with strong stakeholder-facing communication skills for direct interactions with US client leadership.

What will you do?

•  Evaluate the current state of all data collected across multiple integrations — how data is ingested, processed, stored, and presented across the platform.
• Analyze schema design, data freshness, bottleneck risks, and overall data health to identify system vulnerabilities and inaccuracies.
• Design a clean, scalable, and future-proof target data architecture optimized for fast querying, BI reporting (Metabase), and AI/LLM ingestion (Text-to-SQL).
• Build a detailed step-by-step execution plan (Roadmap) specifying required engineering steps, timelines, and resource allocations needed to reach the desired state.
• Present audit findings and strategic recommendations directly to the US client leadership and product team.

We Offer:

• Project-based contract engagement (2–3 months) with flexible Part-time or Full-time capacity;
• Potential for long-term cooperation upon successful project delivery;
• Competitive, market-leading compensation;
• Full accounting support;
• Fully remote work flexibility;
• Agile, transparent engineering culture.

Application Process:

1. Initial Screening Call with Recruiter.
2. Technical & Architecture Deep Dive with CTO.
3. Culture Index (CI) Test.

Lexidesk is the AI client intake platform for law firms.
 

More than 50 firms run on us already, across personal injury, immigration, family law and more.
 

We started with the phone, answering every call 24/7 so firms stop losing cases to missed calls.
 

Now we're going for end-to-end intake automation. Our goal: help an average legal intake team of 8 handle the same number of leads with 2 people, while converting better than before.
 

The only problem: most law firms have no idea any of this is possible yet.
 

That's your job: tell them.
 

Your day to day
 

• Make product videos, explainer videos and launch videos. Think Loom recordings and ElevenLabs-style motion launches using AI. Example: https://www.youtube.com/watch?v=_ZKzfDz8Png.
• Build and distribute content funnels. Quizzes, webinars, short courses — whatever turns your content into booked demos. Example webinar: https://us06web.zoom.us/webinar/register/WN_PAdaBp2DSsm2Upy_3pEvGg.
• Run product launches and communicate new features to customers in a structured way, as described here: https://harries.co/launch-your-product.
• Film with our customers, publish case studies and customer stories, and collect testimonials. Customer stories: https://lexidesk.ai/customers.
• Turn our podcasts and existing content into shorts law firm owners stop scrolling for.
• Build trust in online legal communities: Reddit, Facebook groups, Slack and comment sections.
• Manage our socials.
   

Requirements
 

• 1+ years doing social or content for a software company. B2B SaaS ideally. Legal is a big plus.
• You can produce and edit videos and make them look good, using motion design with Remotion and AI tools like ElevenLabs and Higgsfield.
• You write well.
• You're comfortable being on camera.
• Your content workflows are AI native.
• You like to get deep into new topics and become an expert on them.
• You understand AI and how businesses use it, or you'll learn it fast.
• English at C1 or close. You may talk to US lawyers and arrange for them to record content with us.
   

Nice to have
 

• You run or used to run a YouTube channel about AI for business.
• You've done legal or legal-tech marketing before.
• You think like a product manager. You like talking to users and turning what they say into content.
   

How we work
 

• Speed is the moat. Rapid experimentation, lean autonomous teams, minimal bureaucracy.
• Impact, not titles. No job titles. It's about the impact you have. No task is above or beneath you.
• AI first. We use AI across the whole company to move faster with better results.
• Automate the boring stuff. If you do it twice and will keep doing it, automate it once it works by hand.
• Think from first principles. Stop and think. Ask dumb questions, ask when it's unclear or costly, then decide on your own.
• Talent over location. Fully remote. We hire the best person, wherever they are.
• Taste is king. Anyone with Claude can be average. Cut the extra, keep it minimal, and build for your audience, not yourself.
   

What we offer
 

• The first content marketing seat at Lexidesk. You build the function almost from scratch and own it. Your work ships and actually gets seen.
• Direct access to the founder and the whole business. You'll learn how an AI startup really runs end-to-end.
• A budget for the tools and gear you need. Camera, editing software, AI subscriptions — whatever makes the work great.
• A clear path to grow into leading our content team as we scale.

Job Description

Required:

Knowledge of TCP/IP protocol stack, understanding of OSI model
Knowledge of Wi-Fi networks and standards
Wi-Fi Mesh experience
Experience in networks administration
Proficient Linux user
Experience in testing
3+ years of relevant experience
Good written and spoken English

Prefered:
Basic scripting skills (bash/python)

Job Responsibilities

Wi-Fi systems qualification including interoperability, performance, range, stability, and other testings of Wi-Fi access points and mesh systems.
Test plan creation based on project requirements, specifications, and industry standards.
Test case execution and preparing test reports.
Reporting technical issues, creating defect reports.
Configuring and maintaining test lab.

Department/Project Description

Our client is one of the United States largest high-speed Internet, video and phone providers to residential customers.

The project is focused on testing, qualification, and acceptance of cutting-edge Wi-Fi chips and products. The goal is to verify and maintain the quality of upcoming wireless solutions, guarantee an excellent experience for millions of users.

Skill Category

QA - Manual

Keyskills - Must Have

• WiFi
• Networking
• Testing
• Manual functional testing
• Linux
• QA
• JIRA

Keyskills - Nice to Have

• Shell-Scripting
• Python

Reelly AI is a B2B platform in the real estate sales sector that has become one of the market leaders in the UAE in just four years. More than 74,000 agents have registered on the platform. We help them find up-to-date information on more than 2,000 projects from developers in Dubai, Abu Dhabi, and Ras Al Khaimah.

Our business is selling data and access to our proprietary AI ecosystem. It helps developers see supply and demand in real time, understand agents’ needs, and make commercial decisions faster.

We work with international companies, including those from India, Pakistan, and the United Kingdom, that operate in the UAE. We are preparing for international expansion in cooperation with government partners. Our goal is to attract one million agents over the next three years.

I am writing this job posting personally. My name is Vitalii Ryzhak, and I am the founder and CEO of Reelly AI.

Recently, the real estate market in the region has experienced significant stress. For us, this period has become a catalyst for growth: developers have started digitizing their processes more actively, and we have received a large influx of new contracts. That is why I am resuming the search for new talent to join our team.

We are looking for a Head of Sales to build and lead the inbound and outbound sales team for our real estate Data API. The team will sell API access to real estate agencies that want to display up-to-date property data on their own websites.

You will work with an existing agency prospect database and develop a repeatable approach to selling in the UAE and international markets. Our current data coverage includes the UAE, Bali, and Phuket. Expansion to the UK, Georgia, and Saudi Arabia is planned.

This is a hands-on sales leadership role: you will build the team and sales process while personally joining discovery calls, demos, negotiations, and important deals. You will work directly with the founder and coordinate with Product, technical specialists, and the post-sales team.

What you will do

• Build and lead a sales team across inbound enquiries and targeted outbound prospecting
• Help hire, onboard, coach, and develop salespeople; set clear priorities, review calls and deals, and improve individual performance
• Segment the existing agency database, identify relevant decision-makers, and create focused outreach and follow-up playbooks
• Design and improve the full sales process: qualification, discovery, demo, trial, proposal, negotiation, closing, and post-sales handoff
• Own CRM discipline, pipeline stages, activity and conversion reporting, revenue forecasting, and regular pipeline reviews
• Personally lead key client conversations in English and show the team how to translate API capabilities and data coverage into business value for an agency website
• Coordinate integration questions with technical colleagues and make accurate commitments about the product and implementation
• Work with the founder on targets, positioning, pricing feedback, and priorities for international expansion
• Bring customer objections, lost-deal insights, and market feedback to Product and the wider team

Who we are looking for

• 5+ years in B2B sales, including personally closed deals in SaaS, data products, digital products, IT services, or a closely related field
• 2+ years building or managing a sales team, with clear examples of hiring, coaching, process improvements, and measurable commercial results
• Practical experience with both inbound sales and outbound prospecting
• Strong discovery, demonstration, objection-handling, negotiation, and closing skills
• Confident English at B2 / Upper-Intermediate or above for independent client calls, negotiations, and written follow-up
• Hands-on CRM, pipeline management, forecasting, and sales reporting experience
• Ability to understand API and data products and explain their value in business terms; coding or software development experience is not required
• Ownership of team results, consistent follow-through, and a willingness to stay close to customers and deals

Experience selling API or data subscriptions, working with real estate agencies, or serving UAE and other international markets is a plus. Practical use of AI tools to improve research, outreach, and sales operations is welcome.

How we will measure success

A productive sales team, qualified pipeline, new paid revenue, conversion through the funnel, reliable forecasts, and clear customer handoffs. Targets and the performance bonus structure will be agreed before joining.

Compensation and work format

Guaranteed base salary: USD 4,000–6,000 per month, plus performance-based commission or bonus. The fixed amount within this range will depend on relevant experience and demonstrated results. Bonus terms and targets will be agreed before joining.

Full-time, fully remote, open to candidates worldwide.

Why this role may interest you

• Direct work with the founder and influence over the sales strategy, team, and processes
• An existing agency prospect database and a concrete B2B product to sell
• The opportunity to build a repeatable sales approach across current and planned international markets
• Hands-on experience at the intersection of real estate, data, APIs, and AI

My recommendation:

If you want the opportunity to join our team, apply for this role on Djinni. We will review your CV and relevant experience and contact suitable candidates individually through Djinni about the next steps.

I, Vitalii Ryzhak, hope you will connect with our mission as I did six years ago. I believe that only the strong win. And we are building our strength in attracting international capital so that, when the time is right, we can focus all our efforts on rebuilding Ukraine.

Glory to Ukraine! Glory to the Heroes!

Reelly AI is a B2B platform in the real estate sales sector that has become one of the market leaders in the UAE in just four years. More than 74,000 agents have registered on the platform. We help them find up-to-date information on more than 2,000 projects from developers in Dubai, Abu Dhabi, and Ras Al Khaimah.

Our business is selling data and access to our proprietary AI ecosystem. It helps developers see supply and demand in real time, understand agents’ needs, and make commercial decisions faster.

We work with international companies, including those from India, Pakistan, and the United Kingdom, that operate in the UAE. We are preparing for international expansion in cooperation with government partners. Our goal is to attract one million agents over the next three years.

I am writing this job posting personally. My name is Vitalii Ryzhak, and I am the founder and CEO of Reelly AI.

Recently, the real estate market in the region has experienced significant stress. For us, this period has become a catalyst for growth: developers have started digitizing their processes more actively, and we have received a large influx of new contracts. That is why I am resuming the search for new talent to join our team.

We are looking for a Customer Support Specialist to help customers in chats and oversee the quality of our AI-assisted support. You will review AI answers, check facts, step into conversations when human help is needed, and make sure unresolved issues reach the right person.

This is a hands-on, individual-contributor support role with no people-management responsibilities.

What you will do

• Monitor customer conversations and check AI-generated replies for factual accuracy, relevance, clarity, and a helpful tone
• Verify answers against approved product information and the knowledge base before relying on them; identify missing information and avoid unsupported promises
• Take over chats when the AI cannot resolve a request, misunderstands the customer, or needs human judgment
• Ask clear follow-up questions, explain next steps, and keep customers informed until the issue is resolved or handed over
• Record issues and actions in tickets or the CRM, with enough context for colleagues to continue the work
• Escalate technical problems, account issues, and unusual or sensitive requests to the appropriate team
• Flag recurring questions and incorrect AI responses, and suggest improvements to help articles, response templates, and the knowledge base

Who we are looking for

• At least 1 year of relevant work experience in customer support, customer service, chat operations, account support, or a similar customer-facing role
• Careful reading, attention to detail, and the ability to distinguish a verified fact from an assumption
• Clear, patient written communication and a calm approach to difficult customer situations
• Confidence using AI assistants and translation tools while checking the accuracy of their output
• Basic English is acceptable when supported by AI and translation tools; you must be able to understand the customer's request, check the response, and ask for help when something is unclear
• Experience keeping customer records, tickets, or task trackers organized
• Availability for a full-time schedule of 5 working days per week, 8 hours per day, with reliable follow-through during your agreed working hours

Experience with SaaS products, real estate platforms, help-desk tools, or AI-assisted support is a plus. Relevant practical work experience is required.

What good work looks like

Customers receive accurate and useful answers. Conversations needing a person are handled promptly, escalations contain clear context, and recurring gaps are captured so the support experience keeps improving.

Compensation and work format

Total monthly compensation: USD 1,000, including salary and bonus. The salary/bonus split and bonus criteria will be agreed before joining; the total monthly budget is USD 1,000.

Fully remote, full-time: 5 working days per week, 8 hours per day. The exact working days and hours will be agreed before joining. Open to candidates worldwide.

Why this role may interest you

Practical experience with AI-assisted customer support in a B2B product company, daily work with international customers, and the opportunity to improve the quality of both human and AI responses.

My recommendation:

Apply for this role on Djinni with details of your relevant work experience and skills. We will review your experience and skills against the role requirements before contacting you about the next steps.

I believe that only the strong win. And we are building our strength in attracting international capital so that, when the time is right, we can focus all our efforts on rebuilding Ukraine.

Glory to Ukraine! Glory to the Heroes!

We are seeking a highly analytical and detail-oriented Security Data Analyst to join our Information Security team. The successful candidate will be pivotal in safeguarding our digital assets by analyzing security data, identifying threats, and providing actionable insights to strengthen our security posture. This role combines expertise in data analysis with a deep understanding of cybersecurity principles.

Main Responsibilities

Data Loss Prevention (DLP) Management

– Manage Data Leakage Prevention tool and processes end-to-end

– Designing, implementing, and supporting new DLP rules

– Focus on reducing false positives from DLP tools to improve accuracy

– Monitor the DLP dismissal process and handle custom requests

– Conduct thorough DLP testing and validation

Security Control & Risk Management

– Design, implement, and support robust data security controls

– Manage data security projects from inception to deployment

– Performing security assessments (data security perspective) on systems and applications

– Analyze requests and approving data transfer or critical access based on security policies

– Create detailed security hardenings guides and provide system configuration requireme

Data Analysis & Reporting

– Investigate security alerts, logs, and data from SIEM and DLP systems

– Perform in-depth analysis of large security datasets

– Develop and maintain key security metrics, perform audits and report for management

Security Incident Analysis & Response

– Conducting analysis for data security incidents and providing support for L3 SOC activities

– Responding to urgent incidents outside working hours as part of an on-call rotation

– Contribute to incident response by providing rapid data analysis and forensics support

Mandatory Requirements

Technical Proficiency

– 3+ years of experience in a cybersecurity role, specifically in data analysis, SOC/incident response

– Hands-on experience with DLP technologies (e.g. Symantec)

– Strong knowledge of SIEM/Logging platforms (e.g. Elastic) and log aggregation principles

– Proficiency in scripting languages (e.g., Python, PowerShell) for data manipulation and automation

– Familiarity with network protocols, operating systems (Windows, Linux), and cloud environments (AWS, Azure)

– Knowledge of privacy and data protection regulations

Analytical Skills:

– Proven ability to collect, analyze, and interpret complex technical data to solve security problems

– Excellent problem-solving skills and attention to detail

English: intermediate or higher

Ukrainian/Russian: native or advanced

Education: Bachelor’s degree in Computer Science, Information Security, or a related field, or equivalent practical experience

We offer

Vacation: Reset. Recharge. Come back stronger.

Sick Leave Allowance: Health is power. We designed the system to support you

Benefits Model: Your budget, your rules – spend it where it counts. Day one, it’s yours. No waiting, no barriers

Motivation Bonus System: We see results. We reward drive. Our bonus system fuels performance and celebrates dedication – because excellence deserves recognition

Training Balance: Learn fast. Grow faster. Upskill, stay ahead, and keep your edge sharp

Team Building: Stronger together. We connect, compete, and celebrate – great teams don’t happen by accident

Generation Program: Focused on boosting the potential of children within our families

Work & Fun Balance: Driven at work, alive beyond it. Events, surprises, and shared moments keep our spirit high and our energy unstoppable

Cloud Infrastructure & Systems Manager

We are looking for someone to take ownership of our cloud infrastructure efficiency, costs, architecture, and performance.
This role combines SysAdmin and Cloud Architecture.

What You’ll Do

• Own and continuously review our cloud infrastructure and DevOps team.
• Monitor infrastructure performance, reliability, and scalability.
• Track cloud spend, identify unnecessary costs, and recommend concrete optimizations.
• Plan cost-saving, performance, infrastructure optimization, and migration initiatives.

Must Have

• Strong Kubernetes knowledge.
• Terraform / Infrastructure as Code.
• Experience with Microsoft, AWS, GCP, Azure, DigitalOcean, or similar.
• Monitoring and observability tools such as Prometheus, Grafana, CloudWatch, OpenTelemetry or similar.
• SQL databases and managed database infrastructure.

Nice to Have:

• Hands-on cloud cost optimizations / FinOps experience.

We are looking for someone who can take ownership of the full infrastructure picture, challenge inefficient decisions, and make clear technical and cost recommendations without compromising performance or reliability.

Cloud Infrastructure Manager (Part-time)

We are looking for someone to take ownership of our cloud infrastructure efficiency, costs, architecture, and performance.
This role combines FinOps and Cloud Architecture.

What You’ll Do

• Own and continuously review our cloud infrastructure and DevOps team.
• Monitor infrastructure performance, reliability, and scalability.
• Track cloud spend, identify unnecessary costs, and recommend concrete optimizations.
• Plan cost-saving, performance, infrastructure optimization, and migration initiatives.

Must Have

• Strong Kubernetes knowledge.
• Terraform / Infrastructure as Code.
• Experience with Microsoft, AWS, GCP, Azure, DigitalOcean, or similar.
• Monitoring and observability tools such as Prometheus, Grafana, CloudWatch, OpenTelemetry or similar.
• SQL databases and managed database infrastructure.

Nice to Have:

• Hands-on cloud cost optimizations / FinOps experience.

We are looking for someone who can take ownership of the full infrastructure picture, challenge inefficient decisions, and make clear technical and cost recommendations without compromising performance or reliability.