Jobs at Djinni

Responsibilities:
- Provide Azure DevOps support for cloud solutions by setting up new environments and implementing CI/CD pipelines
- Maintain, improve, and extend cloud deployment frameworks for existing product
- Design, implement, and manage CI/CD pipelines
- Apply Infrastructure as Code principles to automate cloud resources
- Monitor cloud environments, detect issues, and resolve incidents
- Support 3rd-level production issues and perform root cause analysis
- Share DevOps best practices and knowledge with team members

Mandatory Skills Description:
- Minimum 3 years of relevant experience in DevOps on Azure
- Strong knowledge of main Azure components
- Experience with Azure Kubernetes configuration
- Good knowledge of Docker containers
- Experience with Infrastructure as Code tools (e.g. Bicep, SaltStack or similar)
- Ability to detect, analyze, and resolve issues in cloud and production environments
- Experience supporting production systems and handling 3rd-level support cases
- Ability to work independently in a remote setup
- Open, proactive, and clear communication skills

Nice-to-Have Skills Description:
- Familiarity with onpremis Kubernetes configuration
- Familiarity with configuration management tools
- Familiarity with additional cloud automation and monitoring tools

BrainRocket is a global company creating end-to-end tech products for clients across Fintech, iGaming, and Marketing. ‍Young, ambitious, and unstoppable, we've already taken Cyprus, Malta, Portugal, Poland, and Serbia by storm. Our BRO team consists of 1,300 bright minds creating innovative ideas and products. We don’t follow formats. We shape them. We build what works, launch it fast, and make sure it hits.

We're looking for an experienced Senior HTML/Markup Developer to join our development team in Valencia, Spain!

✅ Responsibilities:
✔️ Develop efficient, fast, and adaptive layouts of interfaces;
✔️ Collaborate with developers and web designers to improve the product;
✔️ Introduce ideas, solutions, and optimize existing applications.

✅ Requirements:
✔️ 5+ years of professional experience as an HTML coder;
✔️ Excellent knowledge of HTML and CSS;
✔️ Good understanding of UI/UX design and cross-browser layout;
✔️ Strong knowledge of CSS/JS animation;
✔️ Experience working with CSS Pre-Processors: Sass/Less;
✔️ Understanding of web application performance optimization;
✔️ Experience with Figma / Sketch / Photoshop;
✔️ Advanced level of English.

✅ Nice to Have:
✔️ Understanding of front-end build tools (Gulp, Webpack, etc.);
✔️ Knowledge of HTML email templates;
✔️ Experience working with CSS frameworks;
✔️ Experience working with template engines (Pug, Handlebars, etc.);
✔️ Experience with Canvas API / WebGL / ThreeJS / GSAP.

✅ We offer excellent benefits, including but not limited to:
🧑🏻‍💻 Learning and development opportunities and interesting, challenging tasks;
📝 Official employment following Spain/EU laws, including registration of family members;
✈️ Relocation package (flight tickets + 2-week hotel stay);
📚 Language development support and partial compensation for classes;
🎁 Birthday celebration gift;
🏝 23 working days of Annual Vacation for proper rest.

Join BrainRocket and rock with us! 🚀

We’re MSToons — a YouTube animation studio creating high-volume story-driven content for a multi-million audience. Our team is growing fast, and we’re looking for a 3D Animator who can join our Minecraft project, switch into our pipeline, and produce dynamic, expressive animation at the level our audience expects.

We work in Mine-imator, so this role requires switching to that software.

No previous Mine-imator experience is required — we provide a paid adaptation period, internal guides, and support during onboarding.

What you’ll do

• animate characters and action scenes;
• work with camera, timing, and scene dynamics;
• bring story moments to life in our visual style.

All assets are prepared by our modeling team, so your focus is animation + camera work only.

Requirements

• 1+ year in 3D animation;
• experience with Blender / Maya / Cinema 4D or similar;
• solid understanding of timing, spacing, posing, and action animation;
• willingness to learn Mine-imator.

Nice to have

• Minecraft / voxel-style animation experience;
• Mine-imator / Modelbench experience;
• rigging skills.

Workload

After the adaptation period, we expect the animator to handle 600 seconds of finished animation per month.

We offer

• paid test task;
• paid adaptation period;
• first 3 projects paid at $70 per finished minute;
• fixed salary after successful adaptation;
• salary growth based on performance, speed of adaptation, and consistency of animation quality;
• growth opportunity into a lead role in the future.

References (Our works)

• https://youtu.be/XN4EVFYQFQU?si=W3G8sW6wuGBrL6Yx
• https://youtu.be/TTq_Fr8hRFA?si=ktIHWXokdAZ9uTWy
• https://youtu.be/su2x0T_6Kns?si=DzurBIIjLVmH49pq

We are looking for a true Polyglot Engineer to join our team for a long-term collaboration. In the fragmented world of Web3, the ability to bridge different technologies is a superpower. We need a specialist who can architect and build the critical off-chain infrastructure that powers decentralized applications. If you are proficient in Rust but comfortable diving into C++, Python, and Node.js to get the job done, this role is for you.

Who are we?

We are Out Of The Box Systems: a Ukrainian team of passionate, battle-tested engineers and creators united by one goal—delivering real results with clarity, precision, and autonomy. We champion a flexible, pragmatic approach over rigid, static processes. While our roots and primary team are in Ukraine, we collaborate with top talent from various labor markets. We specialize in demanding fields like Rust-first development, AI Engineering, and Computer Graphics, blending performance, security, and innovation into every project. We are deeply invested in the growth of our team members, believing that a person's ability to learn and their openness to feedback are the true keys to long-term success. Our team thrives on solving hard problems and doing the heavy lifting so our clients don’t have to.

Workload

• Full-time, remote collaboration.
• Flexible schedule, with expected availability for team syncs.
• Project-based workload with a focus on clear deliverables.

Responsibilities

• Design, implement, and maintain high-performance backend services and indexers using Rust as the primary language.
• Integrate with diverse blockchain nodes and legacy systems, utilizing C++ for performance-critical modules or native bindings.
• Develop robust APIs and tooling scripts using Node.js and Python to ensure seamless interaction between on-chain data and client applications.
• Architect scalable data pipelines that can handle the asynchronous nature of blockchain events reliably.
• Act as a bridge between technologies, mentoring team members on how to effectively navigate a multi-language stack.

Required Skills

• Polyglot Proficiency: You must be comfortable working in a multi-language environment.
  • Rust: Strong proficiency for core backend logic and safety.
  • C++: Experience with systems programming, reading legacy code, or performance optimization.
  • Python: Proficiency for data processing, testing frameworks, or rapid scripting.
  • Node.js: Experience with the JS/TS ecosystem, particularly for Web3 SDKs and lightweight services.

• Backend Architecture: Deep understanding of API design (REST/gRPC), database modeling (SQL/NoSQL), and microservices.
• Distributed Systems: Understanding of eventual consistency, message queues, and handling asynchronous events.
• Intellectual Flexibility: The ability to pick the right tool for the job and adapt quickly to new libraries or protocols.
• English Proficiency: Upper-Intermediate (B2) or higher.

Preferred Skills

• Ethereum & EVM: Deep understanding of the Ethereum ecosystem, JSON-RPC standards, event logs, and ABI decoding.
• Major Chains: Experience integrating with other major networks (Solana, Near, Cosmos, or Bitcoin).
• Blockchain Nodes: Experience running or modifying nodes (e.g., Geth, Casper Node, Substrate).
• DevOps: Experience with Docker, Kubernetes, and CI/CD pipelines.
• Cryptography: Basic understanding of cryptographic primitives used in blockchain (hashing, signatures).

What you get

• The opportunity to work on complex, high-impact infrastructure projects where your versatility is a major asset.
• A transparent, friendly, and supportive team environment that values ownership and competence.
• A clear path for growth, where you are encouraged to experiment with and master new technologies.
• Competitive compensation based on your skills and experience.
• This is a long-term collaboration based on a 2-year B2B contract, reflecting our mutual investment in your growth and success with our team.

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

About the role:
We are looking for a hands-on Sr. Machine Learning / Computer Vision Engineer with strong practical experience in designing, training, evaluating, and improving vision systems for real-world applications. The ideal candidate combines solid theoretical ML/CV fundamentals with an engineering mindset and is comfortable taking ownership of the full pipeline, from data preparation and experimentation to model optimization and deployment.

Responsibilities:
- Design, train, evaluate, and improve machine learning and computer vision models for real-world production use cases
- Build and maintain end-to-end ML pipelines, including data collection support, preprocessing, feature engineering, training, validation, and inference
- Develop solutions across both computer vision and machine learning tasks depending on business needs
- Perform error analysis, diagnose model weaknesses, and drive improvements in accuracy, robustness, and reliability
- Select and justify appropriate methods and model architectures based on dataset characteristics, product constraints, and deployment requirements
- Work with challenging real-world data, including noisy, limited, imbalanced, or weakly labeled datasets
- Collaborate with engineering and product teams to translate business problems into practical ML solutions
- Contribute to production-ready development with a focus on maintainability, reproducibility, and performance

Requirements:
- 3–5+ years of professional experience in Machine Learning / Computer Vision
- Strong senior-level practical expertise in computer vision, machine learning, and applied model development
- Hands-on experience with tasks such as object detection, image classification, anomaly detection, feature-based approaches, or similar
- Solid understanding of classical ML methods, including tree-based models, linear models, feature engineering, model selection, and evaluation
- Strong Python skills and practical experience with PyTorch, OpenCV, and common ML tooling
- Experience building full ML workflows including data preparation, augmentation, preprocessing, training, validation, testing, and deployment handoff
- Strong understanding of model evaluation, debugging, overfitting, generalization, optimization, and experiment-driven improvement
- Ability to write clean, modular, maintainable code and independently own technical solutions
- Strong analytical thinking, engineering maturity, and problem-solving skills

Nice to Have:
- Experience in adjacent ML domains such as time-series, audio, or NLP
- Experience with embedding-based methods, metric learning, retrieval systems, or memory-bank approaches
- Practical experience with model optimization techniques such as quantization, pruning, distillation, or related efficiency-focused approaches
- Experience working with real-world industrial datasets and ambiguous problem formulations
- Knowledge of software engineering best practices, reproducible experimentation, and pipeline design

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We are looking for a Python Software Engineer to join our team and help us build an on-premise software pipeline for real-time computer vision. The system ingests camera streams (primarily RTSP), stores frames in a shared data layer, runs CV/AI engines for preprocessing and inference, applies inference logic to produce decisions, and sends results to Database/Portal/Alerting/Control integrations.

Responsibilities:
- Build and maintain the Camera Module to reliably ingest RTSP streams, decode frames, and handle reconnect/keep-alive/packet loss.
- Implement the Shared Data layer for raw and processed frame exchange across processes with backpressure and safe lifecycle management.
- Integrate and operate CV/AI Engines in Python (preprocess, inference, postprocess) with configurable model loading and runtime selection.
- Develop the Inference Logic layer that orchestrates cropping, batching, filtering, classification, and decision output formatting.
- Implement connectors for Database & Portal (event persistence, evidence references) and for Alerting & Control (events/hooks for downstream automation).
- Ensure production readiness on Linux with observability (logs/metrics), health checks, and robust error handling.

Requirements:
Must-have:
- Strong Python, OOP, clean architecture, typing preferred.
- Solid experience with multiprocessing/concurrency (process lifecycle, IPC patterns, queues/shared memory).
- Comfortable working in Linux (systemd/service mindset, networking basics, profiling/debugging).
- Familiarity with CV/AI tooling, and some related Python libraries such as numpy, opencv (cv2), and torch or tensorflow.
- Ability to work with streaming data and reliability constraints (timeouts, retries, resource cleanup).
Should-have:
- Experience with RTSP/RTP streaming and common issues (UDP vs TCP interleaved, jitter, packet loss, camera timeouts).
- Performance optimization (profiling, memory management, zero-copy patterns).
- Exposure to inference acceleration stacks (TensorRT/OpenVINO) or GPU deployment.
- Experience designing event schemas and integration with DB/message queues.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

We are looking for a motivated Junior Sales Development Representative to support pipeline generation for a PPM software. In this role, you will help identify and connect with potential clients, assist with lead qualification, and contribute to building a steady flow of new opportunities for the sales team.

This position is a great opportunity for someone who has basic knowledge of sales or business development, is eager to learn modern sales tools and prospecting techniques, and can communicate clearly in English. You will work closely with experienced team members while developing your skills in B2B sales and customer communication.

Our project is an AI-powered multi-project and resource management platform designed to help organizations manage complex project portfolios more effectively.

Our clients include technology companies, engineering organizations, and enterprises managing large project portfolios.

Our selection process includes:
— HR interview;
— Test Task;
— Tech interview;
— Final interview with the founders of the company.

Requirements:
- Upper-Intermediate or higher English (written and spoken);
- Strong analytical thinking and ability to break down problems, plan, and prioritize;
- Ability to research competitors, identify their weaknesses, and clearly articulate our advantages;
- Basic understanding of software products or the tech industry;
- Naturally curious and eager to learn new tools and concepts;
- Strong interest in AI tools and modern productivity workflows.

Responsibilities:
- Communicate with inbound leads and help qualify potential customers;
- Work with CRM (Pipedrive) to manage contacts, deals, and sales activities;
- Conduct market and competitor research;
- Support surveys and market discovery initiatives;
- Help launch and test outbound campaigns;
- Assist the team in identifying potential opportunities and improving outreach strategies.

Would Be a Plus:
- Any education or experience in B2B sales or marketing;
- Familiarity with CRM systems;
- Interest in SaaS, project management, or AI-driven software.

We Offer:
- Competitive base + performance-based bonus/commission;
- Career path toward Senior SDR, Team Lead, or Account Executive;
- Sales enablement, messaging support, and access to modern tooling;
- Schedule: Monday–Friday, (10.00−19.00 or 9:00-18.00);
- Work format: office/remote/hybrid;
- Medical insurance;
- Corporate equipment;
- No time trackers or unnecessary bureaucracy;
- Supportive and collaborative team culture;
- Paid vacation and sick leave;
- Gifts for birthdays and professional holidays;
- Freedom to test ideas, lead initiatives, and try something new;
- Communication with experienced professionals eager to share their expertise;
- Participation in internal and external events, with opportunities to grow your brand.

We are looking for a Senior DevOps Engineer to own and evolve our infrastructure, deployment pipelines, and reliability practices. This is a hands-on engineering role guided by Site Reliability Engineering (SRE) principles, focused on automation, operational excellence, and proactive risk reduction — within the governance and compliance expectations of the industry.


Key Responsibilities

Infrastructure and Reliability

• Design, operate, and improve AWS-based infrastructure across multiple regions and environments
• Manage infrastructure using Infrastructure as Code (Pulumi with TypeScript)
• Apply SRE principles to reduce operational toil and enhance observability and alerting
• Improve system resilience and failure isolation per partner environment
• Support a rapidly increasing number of isolated deployments as each partner integration results in multiple independently deployed backend services

CI/CD and Deployment Engineering

• Own and evolve CI/CD pipelines using GitHub Actions
• Build scalable, multi-tenant deployment workflows that support automated promotion, failover, and rollbacks
• Maintain blue-green deployments and improve rollback automation
• Support high-availability deployments for internal and partner-facing tools and dashboards
• Work within a peer-reviewed change process and long-term production approval requirements

Observability and Incident Management

• Maintain and improve monitoring, logging, and alerting systems
• Ensure alerts are actionable and aligned with real player impact
• Design and formalise incident response processes
• Lead and participate in blameless postmortems with shared ownership of follow-ups

Security, Compliance and Cost

• Support secure system design, secrets management, and access control
• Enable and integrate security scanning and secure SDLC practices into CI/CD
• Prepare systems for external security audits and compliance requirements
• Own cloud cost awareness and optimisation — FinOps is part of this role

Collaboration

• Help establish shared responsibility for operational quality across the engineering team
• Collaborate with technical leadership on prioritisation and long-term platform improvements
• Contribute to long-term plans for scalability and operational robustness of core platform components

Must Have

• 5+ years of experience in DevOps, Infrastructure, Platform, or SRE-adjacent roles
• Strong hands-on experience with AWS in production environments
• Practical, hands-on experience with Infrastructure as Code tools — this is non-negotiable
• Experience designing and operating CI/CD pipelines from scratch
• Solid understanding and application of SRE concepts: alerting strategy, incident response, reliability vs velocity trade-offs, automation to reduce operational toil
• Background supporting consumer-facing, revenue-generating platforms at real scale — you understand what reliability truly means when money is on the line
• Working knowledge of TypeScript or JavaScript
• Some experience with distributed systems or message brokers (NATS, Kafka, etc.)
  
  You Are
• Action-oriented — you get things done through effective collaboration, not endless planning
• An owner — you take responsibility for complex systems with minimal oversight and engage the team proactively
• A clear communicator — you speak up, flag issues early, and translate technical problems for non-technical stakeholders without being asked
• Decisive — you exercise good judgment on when to refactor vs when to ship
• Comfortable in a fast-moving startup environment where the roadmap evolves and autonomy is expected

About Tie

Tie is building the next generation of identity resolution and marketing intelligence. Our platform connects hundreds of millions of consumers across devices, browsers, and channels—without relying on cookies—to power higher deliverability, smarter targeting, and measurable revenue lift for modern marketing teams.

At Tie, AI is not a feature—it is a core execution advantage. We operate large-scale identity graphs, real-time scoring systems, and production ML pipelines that directly impact revenue, deliverability, and customer growth.

The Role

We are looking for a Senior AI / Machine Learning Engineer to design, build, and deploy production ML systems that sit at the heart of our identity graph and scoring platform. You will work at the intersection of machine learning, graph data, and real-time systems, owning models end to end—from feature engineering and training through deployment, monitoring, and iteration.

This role is highly hands-on and impact-driven. You will help define Tie’s ML architecture, ship models that operate at sub-second latency, and partner closely with platform engineering to ensure our AI systems scale reliably.

What You’ll Do

• Design and deploy production-grade ML models for identity resolution, propensity scoring, deliverability, and personalization
• Build and maintain feature pipelines across batch and real-time systems (BigQuery, streaming events, graph-derived features)
• Develop and optimize classification models (e.g., XGBoost, logistic regression) with strong handling of class imbalance and noisy labels
• Integrate ML models directly with graph databases to support real-time inference and identity scoring
• Own model lifecycle concerns: evaluation, monitoring, drift detection, retraining, and performance reporting
• Partner with engineering to expose models via low-latency APIs and scalable services
• Contribute to GPU-accelerated and large-scale data processing efforts as we push graph computation from hours to minutes
• Help shape ML best practices, tooling, and standards across the team

What You’ll Bring

Required Qualifications

• 5+ years of experience building and deploying machine learning systems in production
• Strong proficiency in Python for ML, data processing, and model serving
• Hands-on experience with feature engineering, model training, and evaluation for real-world datasets
• Ability to travel outside of Ukraine is a must
• Experience deploying ML models via APIs or services (e.g., FastAPI, containers, Kubernetes)
• Solid understanding of data modeling, SQL, and analytical workflows
• Experience working in a cloud environment (GCP, AWS, or equivalent)
• Experience with graph data, graph databases, or graph-based ML

• Familiarity with Neo4j, Cypher, or graph algorithms (community detection, entity resolution)

  Preferred / Bonus Experience

• Experience with XGBoost, tree-based models, or similar classical ML approaches
• Exposure to real-time or streaming systems (Kafka, Pub/Sub, event-driven architectures)
• Experience with MLOps tooling and practices (CI/CD for ML, monitoring, retraining pipelines)
• GPU or large-scale data processing experience (e.g., RAPIDS, CUDA, Spark, or similar)
• Domain experience in identity resolution, marketing technology, or email deliverability

Our Technology Stack

• ML & Data: Python, Pandas, Scikit-learn, XGBoost
• Graphs: Neo4j (Enterprise, GDS)
• Cloud: Google Cloud Platform (BigQuery, Vertex AI, Cloud Run, Pub/Sub)
• Infrastructure: Docker, Kubernetes, GitHub Actions
• APIs: FastAPI, REST-based inference services

What We Offer

• Competitive compensation, including salary, equity, and performance incentives
• Opportunity to work on core AI systems that directly impact revenue and product differentiation
• High ownership and autonomy in a senior, hands-on role
• Remote-first culture with a strong engineering and data focus
• Exposure to cutting-edge problems in identity resolution, graph ML, and real-time AI systems

• Clear growth path toward Staff / Principal IC roles

  What else:

• 4 weeks of paid vacation per year (flexible scheduling)
• Unlimited sick leave — we trust your judgment and care about your health
• US Bank Holidays off (American calendar)
• Remote-first culture and flexible working hours
• Flat structure, no micromanagement, and full ownership

• Opportunity to make a real impact during a critical growth phase

  Interview Process

• Recruitment Screening Call
• Initial call with Head of Data Science & AI and CTO  (30 min) in English
• Technical deep dive Interview (1,5h)  in English

• Optional test-task (paid)

  Why Join Us?

• High-impact delivery leadership role during a critical period
• Real ownership and autonomy
• Opportunity to shape delivery across the entire engineering organization
• Exposure to SaaS, data, integrations, automation, and platform work
• Collaboration with global teams and vendors
• A strong product with real scale and momentum

Why This Role Matters

At Tie, your work will not live in notebooks or experiments—it will power production systems used by real customers at scale. You will help define how AI is embedded into the company’s core platform and play a key role in making machine learning a durable competitive advantage.

Responsibilities

• Provide IT support to employees (remote and on-site)
• Manage user accounts, permissions, and system access
• Handle onboarding and offboarding from the IT side
• Prepare and configure employee workstations
• Manage IT equipment procurement, delivery, and inventory
• Troubleshoot hardware, software, and system issues
• Maintain IT documentation and asset records
• Support internal tools (Google Workspace, Atlassian, GitHub)
• Assist with cloud access management (AWS / GCP / Azure basics)
• Participate in IT infrastructure and security improvements

Requirements

• 2+ years in IT support / Service Desk / system administration
• Experience with access management, onboarding, equipment provisioning
• Experience supporting macOS and Windows
• Understanding of network basics (DNS, DHCP, VPN, TCP/IP)
• Experience with ticketing systems
• Basic understanding of cloud platforms (AWS / Azure / GCP)
• Basic understanding of GitHub access management
• Experience maintaining documentation

Nice to have

• Experience with MDM solutions
• Experience with VPN or LDAP
• Administration experience in Atlassian, GitHub, AWS
• Interest or experience in security topics (Zero Trust, access control, endpoint security)

What we expect

• Ownership of operational tasks
• Ability to handle routine work and technical issues
• Structured approach to documentation and processes
• Proactive mindset and willingness to learn

We offer

• Competitive EUR salary
• Quarterly bonus system
• Flexible schedule
• Medical insurance
• Unlimited vacation and sick leave
• Budget for professional learning
• Modern hardware

Responsibilities

• Provide IT support to employees (remote and on-site)
• Manage user accounts, permissions, and system access
• Handle onboarding and offboarding from the IT side
• Prepare and configure employee workstations
• Manage IT equipment procurement, delivery, and inventory
• Troubleshoot hardware, software, and system issues
• Maintain IT documentation and asset records
• Support internal tools (Google Workspace, Atlassian, GitHub)
• Assist with cloud access management (AWS / GCP / Azure basics)
• Participate in IT infrastructure and security improvements

Requirements

• 2+ years in IT support / Service Desk / system administration
• Experience with access management, onboarding, equipment provisioning
• Experience supporting macOS and Windows
• Understanding of network basics (DNS, DHCP, VPN, TCP/IP)
• Experience with ticketing systems
• Basic understanding of cloud platforms (AWS / Azure / GCP)
• Basic understanding of GitHub access management
• Experience maintaining documentation
• Ukrainian required, basic English

Nice to have

• Experience with MDM solutions
• Experience with VPN or LDAP
• Administration experience in Atlassian, GitHub, AWS
• Interest or experience in security topics (Zero Trust, access control, endpoint security)

What we expect

• Ownership of operational tasks
• Ability to handle routine work and technical issues
• Structured approach to documentation and processes
• Proactive mindset and willingness to learn

We offer

• Competitive EUR salary
• Quarterly bonus system
• Flexible schedule
• Medical insurance
• Unlimited vacation and sick leave
• Budget for professional learning
• Modern hardware

Markets: US & Central Europe Industry Focus: B2B SaaS, E-commerce, Travel & Hospitality, Healthcare, Consulting, AI Employment Type: Full-time Location: Flexible (Travel Opportunities Available)

About the Role

We are looking for an experienced and driven Senior Business Development Manager to expand our presence in the US and Central European markets. This role is focused on acquiring and growing strategic B2B clients within high-growth industries including SaaS, E-commerce, Travel & Hospitality, Healthcare, Consulting, and AI-driven businesses.

This is a high-impact position with strong growth potential, including the opportunity to earn company shares after successful probation and performance milestones.

Key Responsibilities

• Develop and execute a business development strategy for the US and Central Europe markets
• Identify, qualify, and close new B2B opportunities
• Build long-term partnerships with decision-makers (C-level, VP, Directors)
• Lead negotiations and commercial discussions
• Drive outbound and inbound initiatives (LinkedIn, networking, partnerships, events)
• Manage key accounts and ensure high client satisfaction
• Collaborate with the delivery and operations teams to ensure smooth project execution
• Represent the company at industry events and business trips

Requirements

• 5+ years of experience in Business Development / Sales in IT services or B2B tech
• Strong experience selling to B2B SaaS, E-commerce, AI, Healthcare, Consulting or Travel companies
• Proven track record of closing mid-size and enterprise deals
• Strong Account Management skills
• Excellent English (spoken and written)
• Strong negotiation and presentation skills
• High level of ownership and result-oriented mindset
• Understanding of operational excellence and delivery processes
• Willingness to travel (US & Europe)

What We Offer

• Full-time role with performance-driven compensation
• Opportunity to travel internationally
• Direct impact on the company growth strategy
• Possibility to gain company shares after successful probation
• Work with a strong engineering and operations team
• Growth path toward Head of Business Development / Commercial Director

Lead Artist | iGaming

🌍 Remote | Full-time

We're looking for a Lead Artist to take ownership of the visual side of our iGaming projects.

What matters most to us:

• A strong eye for detail and visual consistency
• Ability to lead and inspire a creative team
• Responsibility and a proactive attitude
• Open to feedback and always looking to improve

What you'll be doing:

• Leading the art direction across slot game projects
• Creating and owning art from ideation to final delivery
• Overseeing the full visual pipeline
• Setting and maintaining quality standards for the entire art team on the project
• Reviewing and giving constructive feedback on team members' work
• Helping build a consistent visual style for each project

Sound like a fit? We'd love to see your work. Share your CV and portfolio!

Project Manager — iGaming

📍 On-site: Dnipro | Full-time

We're looking for a Project Manager to join our team and work on iGaming projects.

What matters most to us:

• English proficiency at B2/B2+ level or higher
• Strong sense of responsibility
• Attention to detail
• Eagerness to learn and grow

What you'll be doing:

• Owning projects end-to-end: from kickoff to closure
• Planning and coordinating team resources across projects
• Maintaining clear and organized project documentation
• Acting as the communication bridge between clients and the team
• Preparing regular reports and status updates
• Identifying and resolving project issues efficiently

Nice to have:

• Hands-on experience as a Project Manager
• Solid understanding of the Project Lifecycle
• Ability to juggle multiple projects at once
• Familiarity with core project management principles
• A results-driven mindset: knowing where to focus for maximum impact
• Proactive approach: spotting potential problems before they escalate
• Discipline and consistency in handling day-to-day tasks
• Strong analytical thinking

Sound like you? Feel free to share your CV! 

Atlas Technica’s mission is to shoulder IT management, user support, and cybersecurity for our clients, who are hedge funds and other investment firms. Founded in 2016, we have grown 100% year over year through our uncompromising focus on service.

We value ownership, execution, growth, intelligence, and camaraderie. We are looking for people who share our Core Values, thrive, and contribute to this environment while putting the customer first. At Atlas Technica, we offer a competitive salary, comprehensive benefits, and great perks to our global Team. We strive to maintain a professional yet friendly environment while promoting professional and career development for our Team Members. Join Atlas Technica now!

Design and deploy intelligent chatbots using Foundry Workflows, Microsoft Agent Framework, OpenAI. Build and operate multi-agent orchestration pipelines with Azure AI Foundry and Model Context Protocol (MCP). Integrate AI with enterprise systems via RESTful APIs, ensuring compliance with security and privacy standards. Stay current with LLM advancements, collaborate across teams, and mentor junior engineers.

Responsibilities:

AI Agent & Chatbot Development

• Design, build, and deploy intelligent conversational agents using Foundry Workflows, Microsoft Agent Framework, OpenAI.
• Develop prompt strategies and manage datasets to support context-aware, multi-turn dialogue and accurate responses.
• Conduct rapid prototyping to validate technical feasibility and demonstrate business value of AI-driven solutions.
• Design agentic loops with task decomposition, state passing between agents, and workflow enforcement for multi-step ticket resolution.

• Implement structured error responses and graceful degradation in agent tool calls, including timeout handling, retry logic, and fallback cascades.

   

Data & Model Engineering

• Build and maintain data ingestion and indexing pipelines for Azure AI Search and Cosmos DB.

• Evaluate and optimize AI system performance for accuracy, scalability, latency, and cost-efficiency.

   

System Integration & Architecture

• Architect and implement integration between AI and enterprise systems (e.g., ConnectWise PSA, Confluence, etc.) using RESTful APIs.
• Implement and maintain MCP servers (Model Context Protocol) for secure, typed tool integration between AI agents and enterprise APIs.
• Deploy containerized services to Azure using multi-stage builds and Azure Pipelines CI/CD.
• Security, Compliance & Governance
• Ensure AI systems comply with data privacy regulations (e.g., GDPR) and enterprise-grade security standards.

• Implement access controls, data encryption, and audit logging for sensitive AI workflows.

   

Research & Innovation

• Stay current with evolving LLM technologies, frameworks and methodologies.

• Evaluate emerging tools and techniques to continuously improve solution quality and delivery speed.

   

Collaboration & Leadership

• Work closely with cross-functional teams to interpret business requirements and recommend LLM-driven solutions.
• Contribute to technical and architectural decisions, ensuring alignment with strategic goals.

• Mentor junior engineers and support knowledge sharing across the team.

   

Operational Excellence

• Take ownership of incident resolution, and bug fixes.
• Create and maintain technical documentation for AI systems, models, and integration workflows.

Requirements:

• English level — B2 or higher
• 5+ years of experience in AI engineering and .NET software development (.NET 10, ASP.NET Core/WebAPI, C#) with frontend experience in React 19 / Next.js 15 / TypeScript, with a focus on Azure-based solutions.
• Experience building intelligent chatbots and autonomous agents (Agentic AI) that perform real actions, plan, reason, and act with minimal human input; familiar with multi-agent orchestration and agent memory.
• Strong expertise in embeddings, search, and prompt engineering.
• Strong understanding of large language models (LLMs), their limitations, and modern capabilities (e.g., GPT, Claude, Gemini).
• Hands-on experience with Azure AI services (Azure AI Foundry, Azure OpenAI, Azure AI Search) and hands-on experience with MCP or similar protocols for secure, scalable integration between AI agents and enterprise systems.
• Familiarity with multi-agent orchestration patterns: coordinator-subagent workflows, maker-checker validation, signal-based confidence scoring, and context preservation across multi-turn interactions.
• Experience designing prompts with explicit evaluation criteria, few-shot techniques, structured output via JSON schemas, and validation/retry loops for reliable LLM responses.
• Awareness of AI-specific security concerns: PII handling, data boundary enforcement, prompt injection prevention, and compliance considerations (e.g., GDPR).

• Ability to write clean, maintainable, and testable code following SOLID principles and Clean Architecture patterns.

   

Desirable Qualities:

• Understanding of AI solution architecture patterns: LLM gateway/service layer, retrieval layer, orchestration/agent layer, and evaluation/observability layer.
• Experience testing AI-enabled components using deterministic seams (mocked LLM clients, retrievers, tools), scenario-based tests, and regression/evaluation datasets for non-deterministic outputs.
• Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms
• Familiarity with AI/ML versioning practices: prompt version control with semantic tagging, evaluation baseline tracking, dataset versioning, experiment reproducibility.
• Familiarity with deploying, monitoring, and maintaining ML models in production environments.
• Experience with Azure Cosmos DB, Azure Container Apps, Docker containerization
• Familiarity with CI/CD pipelines and DevOps practices.
• AI-102
• Experience with Application Insights telemetry, distributed tracing.
• Prior experience integrating AI agents with enterprise platforms like ConnectWise PSA, Confluence, SPO, etc.

Atlas Technica is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.