Jobs at Djinni

🌍 Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

🧩 About the Product:

Our client is a B2B technology company looking for an experienced infrastructure engineer to support and improve its production environments.

This is a hands-on role for someone with strong Linux expertise who enjoys solving complex systems problems, automating operational work, and taking responsibility for service reliability. You will work closely with engineering colleagues to turn technical requirements into infrastructure that is secure, efficient, and straightforward to maintain.

🌟 About the Role:

You will manage Linux infrastructure across physical and virtual environments, supporting its full lifecycle - from initial setup and configuration to maintenance, troubleshooting, and recovery.

Alongside day-to-day operations, you will improve automation, strengthen security practices, and help the team make informed decisions about infrastructure design and deployment. The role requires practical engineering judgment, clear communication, and confidence working with changing priorities.

📈 Key Responsibilities:

• Maintain and improve the availability, performance, and security of production Linux systems.
• Develop automation for infrastructure deployment, configuration, maintenance, and recovery.
• Investigate incidents and resolve issues involving servers, operating systems, connectivity, and storage.
• Manage virtualized and containerized environments, selecting configurations appropriate to operational requirements.
• Apply access controls, system hardening, and resource separation to support secure service delivery.
• Collaborate with engineering teams and external service providers on infrastructure changes and maintenance.
• Improve monitoring, technical documentation, and operational procedures.
• Participate in incident response and the team’s on-call rotation.

💻 Required Competence and Skills:

• 8+ years of experience in infrastructure engineering, systems engineering, SRE, or similar roles.
• Strong experience administering Linux in production, including physical server environments.
• Ability to diagnose operating-system and infrastructure issues beyond the application layer.
• Experience using automation to manage multiple servers consistently.
• Proficiency in Python and practical experience with Terraform.
• Working knowledge of virtualization, containers, networking, and storage.
• Experience maintaining systems remotely and restoring service following failures.
• Understanding of infrastructure security, access management, and workload separation.
• Ability to own technical work from planning through implementation and ongoing support.
• Clear English communication and a collaborative approach to problem-solving.

➕ Nice to Have:

• Experience supporting resource-intensive or performance-sensitive applications.
• Background in hosting, data centers, cloud infrastructure, or managed services.
• Familiarity with hardware selection, capacity planning, and performance optimization.
• Experience working across multiple infrastructure environments or service providers.

🚀 Why Us:

- We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

- We provide full accounting and legal support in all countries we operate.

- We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We're seeking a talented Data Engineer to design and build reliable data pipelines and warehouses for data-heavy products serving clients in the US and Europe. If you're experienced with Python, SQL, modern data warehouses, and orchestration tools and enjoy turning complex datasets into valuable business insights, we'd love to hear from you!
 

Core Competence:
 

• At least 3 years of professional experience in Data Engineering, with strong Python and SQL skills, including window functions and query performance optimization.
• Production experience with modern data warehouses such as Snowflake or BigQuery. Experience with Redshift or Databricks is also relevant.
• Hands-on experience with dbt in production projects, including data models, tests, sources, and incremental materializations.
• Practical experience with Apache Airflow or similar orchestration tools such as Dagster or Prefect.
• Strong understanding of ETL / ELT architecture, including incremental loads, change data capture, slowly changing dimensions, and idempotent pipeline execution.
• Experience building and maintaining batch and incremental data pipelines integrating APIs, databases, files, and SaaS platforms.
• Proficiency with Git, Docker, and at least one major cloud platform such as AWS, GCP, or Azure.
   

Preferred Qualifications:
 

• Experience with Apache Spark, PySpark, or Databricks.
• Knowledge of streaming technologies such as Kafka, Kinesis, or Pub/Sub.
• Familiarity with Fivetran, Airbyte, or Terraform for data infrastructure.
• Experience with BI tools such as Power BI, Looker, or QuickSight and data modeling for analytics.
• Experience preparing datasets for LLM and RAG applications, including chunking, embeddings, and vector databases.
• Upper-intermediate level of English for clear and effective communication with international clients.
   

What We Offer You:
 

• Competitive compensation aligned with your skills, experience, and career ambitions.
• An innovative work environment with opportunities to build production data platforms, scalable pipelines, and analytics solutions for international clients.
• Direct communication with clients from the US and Europe and the opportunity to influence data architecture and technical decisions.
• Long-term cooperation with opportunities to move between projects and continue growing with the team.

Our client is looking for a Conversational AI Specialist.

Role Overview:We are looking for a Conversational AI Specialist to train and improve our AI agent, maintain its Knowledge Base, monitor conversation quality, and ensure responses remain accurate and up to date. You will also coordinate with our technical vendor to resolve issues and support testing and monitoring of AI updates.Key Responsibilities:

• Train and continuously improve the AI agent's responses through structured content and configuration;
• Maintain and update Knowledge Base content to keep the AI agent's answers accurate and current;
• Monitor live chat conversations to identify inaccurate or unclear AI responses and flag/fix them;
• Update AI configurations when promotions, bonuses, or policies change;
• Coordinate with our technical vendor to report and track issues, ensuring fixes are tested before going live;
• Support monitoring after updates to confirm the AI agent is working correctly for users.

Required Skills & Experience:

• To be fluent in Portuguese and English, both written and spoken;
• Experience with AI chatbot or virtual assistant platforms (e.g., Google Dialogflow, or similar conversational AI tools) is preferred;
• Strong attention to detail and a structured, analytical mindset for identifying and resolving inconsistencies in AI responses;
• Comfortable working with basic structured data formats (e.g., reading simple JSON-like data) — full training will be provided;
• Experience using project management or ticketing tools (e.g., Jira, Trello, Asana, or similar) is a plus;
• Strong written communication skills, with the ability to document issues clearly and coordinate with technical teams.

Will be a plus:

• Prior experience in iGaming, customer support, or live chat operations is a plus;
• Prior experience in content writing, knowledge base management, or FAQ documentation is a plus;
• Curiosity about AI/chatbot technology and willingness to learn new tools.

The company guarantees you the following benefits:

• A positive workplace atmosphere that creates a culture of collaboration and support, making it a place you'll love working in;
• Competitive compensation and regular career development reviews;
• Flexible working hours and remote working options, you'll enjoy the freedom that the company provides;
• A generous vacation and sick leave policy, allowing you to take time off and enjoy a work-life balance;
• Financial assistance for professional development, helping you stay ahead of the curve and love your career path;
• Educational Allowances that give you the opportunity to expand your knowledge and experience;
• You'll have a monthly allowance for personal activities, giving you the opportunity to pursue your interests and hobbies outside of work;
• A comprehensive health insurance plan, depending on your current location;
• Referral program with financial rewards for bringing top talent to the company;
• Engaging in team-building activities and corporate parties.

Interview process:

• HR Interview with the Recruiter;
• A 1-hour technical inetrview;
• A 1-hour final interview with the team;
• Final decision.

If you find this opportunity right for you, don't hesitate to apply or get in touch with us if you have any questions!

🌍 Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

🧩 About the Product:

Our client is a technology company with investment backing, developing infrastructure for computationally demanding applications. The engineering team is expanding its networking capabilities to support growing customer demand and increasingly complex deployments.

Customers need dependable, protected access to workloads running across interconnected infrastructure. Delivering that access involves coordinating customer networks, telecommunications providers, data centers, cloud services, and Linux systems. The company is looking for an experienced engineer who can bring these components together and establish consistent methods for deploying, monitoring, and supporting customer connectivity.

🌟 About the Role:

In this position you will lead the technical development and operation of the company’s production networking environment. This includes assessing existing implementations, setting architectural direction, delivering changes, and taking responsibility for their ongoing reliability.

Networking currently has no dedicated team, and the architecture remains open to development. You will have substantial autonomy to establish technical standards, choose implementation approaches, and shape operating practices.

Your scope will extend from customer access points to the systems executing their workloads. Alongside routing and security, you will address the connections between facilities, external providers, cloud environments, and individual hosts. You will also help engineers provision new customer connections through reusable configurations and automation.

📈 Key Responsibilities:

• Assess the existing network, define architectural direction, and own implementation, automation, and production reliability.
• Design and operate connectivity between customer environments and compute workloads across telecom networks, infrastructure partners, hosting facilities, and cloud environments.
• Configure and maintain VLANs, VRFs, segmentation, and firewall policies.
• Define tenant-isolation controls and verify their effectiveness under production conditions.
• Implement secure private access using IPsec, WireGuard, or overlays, including tunnel termination and site-failure handling.
• Build and maintain data-center fabric connectivity and its integration with external providers and cloud services.
• Plan and deliver cross-connects, internet transit, private circuits, and network-as-a-service connections, accounting for lead times, provider dependencies, and commercial constraints.
• Automate network setup and customer connectivity using Python and Terraform, building reusable workflows that other engineers can run safely and consistently.
• Establish observability across hosts, tunnels, overlays, physical networks, cloud services, and carriers.
• Investigate connectivity and performance incidents across organizational boundaries, using technical evidence to identify the failing layer.
• Collaborate with infrastructure and platform engineers on topology, reliability, and performance for high-bandwidth, multi-node workloads.
• Participate in the on-call rotation and improve operational practices based on production experience.

💻 Required Competence and Skills:

• Hands-on production experience with routing between different networks, including diagnosing unexpected routing behavior.
• Experience designing and operating VLANs, VRFs, segmentation, and firewall policies.
• Experience implementing tenant isolation and validating it under real operating conditions.
• Strong Linux networking troubleshooting skills on hosts carrying production traffic.
• Experience with data-center networking and networking services in at least one major cloud platform.
• Production experience supporting customer connectivity built on IPsec or WireGuard.
• Ability to trace packet flows and troubleshoot issues across systems and networks managed by different organizations.
• Experience replacing manually maintained network configurations with reliable automation.
• Practical Python and Terraform skills, including automation used by other engineers in production. 
• Understanding of how network design affects the reliability and performance of distributed workloads.
• Ability to make, implement, and explain technical decisions with incomplete requirements.
• Clear English communication and effective collaboration across engineering disciplines.

➕ Nice to Have:

• Experience with a cloud or hosting provider, data-center or network operator, infrastructure company, or enterprise networking vendor.
• Experience supporting HPC, storage, or other bandwidth-intensive environments.
• Experience with carriers, cross-connects, internet transit, private circuits, or network-as-a-service platforms.
• Experience creating connectivity workflows that non-network engineers can deploy safely.

🚀 Why Us:

- We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

- We provide full accounting and legal support in all countries we operate.

- We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

Job Description:

• Bachelor’s or master’s degree in computer science, Computer Engineering, Machine Learning, or a related field, with 5+ years of overall industry experience;
• Strong computer science fundamentals; able to design and implement efficient algorithms with ease;
• 1+ years of hands-on experience with agentic AI and/or LLM-based agents or applications;
• Proven experience designing and building middleware platforms, REST APIs, and distributed systems at scale;
• Advanced proficiency JavaScript and/or Python, with deep familiarity with AI/ML libraries (PyTorch, Transformers, LangChain, etc.);
• Solid understanding of microservices architecture, message queues (Kafka, Pub/Sub etc), and cloud-native development (AWS/GCP);
• Experience working with vector databases and retrieval-augmented generation (RAG) pipelines;
• Demonstrated success building and deploying agentic AI use cases in production, such as sales automation, operations agents, or analytics bots;

Job Responsibilities:

• Build intelligent agents that plan, reason, and take actions using LLMs (GPT, Gemini, Claude, LLaMA, etc.);
• Implement RAG pipelines, long-term memory, action orchestration, and multi-agent collaboration;
• Translate business requirements into autonomous workflows and smart features that generate business value;
• Apply advanced prompt engineering, tool use, and function-calling strategies to drive agent behavior;
• Design and implement robust middleware that connects APIs, AI models, databases, and services in scalable ways;
• Architect service-oriented and event-driven systems that enable real-time decision-making by agents;
• Build secure, resilient integration layers that facilitate communication between business systems (CRM, ERP, OMS, etc.);
• Ensure observability, monitoring, and governance of agent operations and system interactions;
• Partner with product managers, data engineers, and backend teams to align system capabilities with business goals;
• Lead architectural discussions and make trade-off decisions regarding scalability, modularity, and performance;
• Mentor engineers and contribute to architectural standards and AI enablement framework

Project Description:

Our client is the leading American company that pioneered the TV streaming platform, connecting consumers to streaming content through its operating system and devices. It develops and sells a range of hardware, such as streaming players, branded smart TVs, and audio products, while also licensing its OS to other TV manufacturers. The company generates revenue through device sales, platform services, licensing, advertising, and subscriptions facilitated through its platform.

Client sells various hardware, including streaming players and sticks, that allow users to access streaming services on their TVs.
Client also sells smart TVs that come with its own operating system pre-installed, often referred to as its top streaming platform in the US and Canada;
This is the foundation of the company's platform, powering both its own devices and TVs from other manufacturers that license the software.
A free, ad-supported streaming platform that offers a mix of on-demand and live content.
Provides digital advertising services to help businesses reach consumers on its platform.
This position is for highly specialized, senior-level engineers focused on designing, building, and deploying autonomous, intelligent software agents powered by LLMs. The core mission involves translating complex business needs into real-time, autonomous workflows by implementing advanced LLM capabilities, including Reasoning, Planning, RAG, long-term memory, and tool use/function calling.

🌍 Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

🧩 About the Product:

Our client develops software that helps engineering teams deploy and manage AI workloads in production. The platform simplifies infrastructure operations and supports reliable, scalable services across different deployment environments.

🌟 About the Role:

We are looking for a Senior Software Engineer to develop platform capabilities supporting AI model deployment and operation.

You will combine Python development with hands-on infrastructure engineering, improving the tools and services that help teams bring AI workloads into production. Your work will include performance optimization, automation, and operational reliability.

You will collaborate with other engineers, contribute to technical decisions, and take ownership of your work from design through deployment and ongoing support. The role includes participation in an on-call rotation.

📈 Key Responsibilities:

• Develop Python services and tools supporting AI workloads.
• Deploy, operate, and scale LLM inference services to meet the needs of active users and production traffic.
• Configure and optimize model execution across multiple GPUs and compute nodes.
• Build and improve automated deployment and configuration workflows.
• Integrate and configure model-serving technologies.
• Analyze system performance and improve scalability, resource efficiency, and reliability.
• Design tests to evaluate production readiness and identify performance bottlenecks.
• Improve monitoring, diagnostics, and recovery processes.
• Investigate production issues across software and infrastructure components.
• Contribute to architecture discussions, code reviews, and technical documentation.
• Collaborate with engineering teams to translate requirements into maintainable solutions.

💻 Required Competence and Skills:

• Strong Python development skills and experience building maintainable production software.
• Hands-on experience operating LLM inference services in production, supporting active users and real-world traffic.
• Practical experience deploying and serving models across multi-GPU configurations and multi-node environments.
• Experience configuring and tuning an LLM-serving framework, such as vLLM or a comparable technology.
• Practical understanding of GPU memory constraints and how they affect model deployment and execution.
• Experience evaluating performance under load and interpreting latency, throughput, and resource usage.
• Familiarity with techniques for reducing model memory requirements and improving inference efficiency.
• Experience with infrastructure automation and infrastructure-as-code tools.
• Strong Linux troubleshooting skills.
• Experience supporting production services, including monitoring and incident resolution.
• Ability to work independently, assess technical trade-offs, and communicate decisions clearly.
• Clear written and spoken English.

➕ Nice to Have:

• Experience with distributed systems or large-scale compute environments.
• Familiarity with multiple model-serving technologies.
• Experience with container orchestration and cloud infrastructure.
• Understanding of networking and its impact on application performance.
• Experience building tools for resource management, deployment, or operational automation.
• Background in AI platforms, developer tools, or infrastructure software.

🚀 Why Us:

- We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

- We provide full accounting and legal support in all countries we operate.

- We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

Splunk IT Engineer | Splunk Enterprise / Log Management / Optimization

Location: European Union Only (EU-based candidates)
Work Format: Remote
English: Professional working proficiency
Eligibility: EU residency and work authorization verification required

About the Role

We are looking for an experienced Splunk IT Engineer to manage, optimize, and improve an on-premises Splunk Enterprise environment.

The primary focus of this role is log ingestion optimization, data volume reduction, license cost management, and efficient log storage and routing.

The ideal candidate has strong hands-on Splunk administration experience, understands complex log management architectures, and can implement practical solutions to reduce infrastructure and licensing costs while maintaining operational visibility.

You will work on improving Splunk performance, optimizing data pipelines, and developing sustainable log management strategies.

Key Responsibilities

Splunk Enterprise Administration

• Administer, maintain, and optimize on-premises Splunk Enterprise environments.
• Monitor platform health, performance, and resource utilization.
• Troubleshoot indexing, ingestion, and search performance issues.
• Maintain reliable log collection and processing workflows.

Log Filtering & Data Volume Optimization

• Analyze log ingestion patterns and identify opportunities to reduce unnecessary data.
• Implement filtering, sampling, and data transformation strategies.
• Optimize ingestion pipelines to reduce indexed data volume.
• Maintain the availability of critical operational and security logs.
• Improve data quality and consistency across log sources.

Log Routing & Pipeline Management

• Configure and optimize log routing using Cribl, Logstash, and/or Splunk Heavy Forwarders.
• Design efficient log processing and forwarding workflows.
• Implement routing rules based on data source, priority, and retention requirements.
• Troubleshoot log delivery, parsing, and ingestion issues.

License & Cost Optimization

• Analyze Splunk license utilization and identify cost-saving opportunities.
• Develop strategies to minimize unnecessary license consumption.
• Build dashboards for tracking ingestion volumes, license usage, and associated costs.
• Monitor log growth trends and recommend optimization measures.
• Provide reporting and visibility into Splunk resource consumption.

Storage Management & Archiving

• Optimize Splunk storage utilization and data retention policies.
• Manage log archiving and long-term storage strategies.
• Configure and maintain index lifecycle and retention settings.
• Support efficient data storage while meeting operational requirements.

Search & Dashboard Optimization

• Optimize Splunk searches and SPL queries for performance.
• Improve existing dashboards and reports.
• Identify inefficient searches and reduce unnecessary resource consumption.
• Develop operational dashboards for monitoring ingestion, storage, and platform performance.

Requirements

• Strong hands-on experience administering on-premises Splunk Enterprise.
• Proven experience with log filtering and ingestion volume reduction.
• Practical knowledge of Splunk licensing and license optimization.
• Experience with Cribl, Logstash, and/or Splunk Heavy Forwarders.
• Strong understanding of log routing, parsing, and data processing pipelines.
• Experience managing Splunk storage, retention, and log archiving.
• Ability to analyze and optimize log ingestion costs.
• Experience creating cost tracking and operational monitoring dashboards.
• Strong knowledge of SPL and Splunk search optimization.
• Experience troubleshooting Splunk performance and infrastructure issues.
• Strong analytical and problem-solving skills.
• Ability to communicate effectively with technical stakeholders in English.

Nice to Have

• Splunk Enterprise Certified Admin certification.
• Experience with large-scale, high-volume Splunk environments.
• Knowledge of Splunk indexing architecture and distributed deployments.
• Experience with Cribl Stream.
• Familiarity with observability and centralized logging architectures.
• Experience automating Splunk administration and monitoring tasks.
• Knowledge of infrastructure monitoring and security logging practices.

What We Offer

• Opportunity to work with complex enterprise logging infrastructure.
• Technically challenging tasks focused on performance and cost optimization.
• Collaboration with experienced infrastructure and operations teams.
• Opportunity to influence log management architecture and optimization strategies.

Location & Eligibility

This position is open exclusively to candidates located in European Union countries.

Documentation confirming location and legal work eligibility will be required during the selection process.

Interested?

If you have strong experience with Splunk Enterprise, log pipeline optimization, and reducing logging infrastructure costs, we would love to hear from you!

Apply now to discuss the opportunity.

Location: European Union Only (EU-based candidates)
Work Format: Remote
English: Strong working proficiency
Eligibility: EU residency and work authorization verification required

About the Role

We are looking for an experienced CAD Automation Specialist to develop, optimize, and maintain automation solutions for engineering and mechanical design workflows using Siemens NX and NXOpen API.

This role combines software development expertise with a strong understanding of CAD systems, mechanical engineering processes, and engineering automation.

The ideal candidate has hands-on experience building CAD automation tools, integrating engineering applications, and improving the efficiency and reliability of design workflows.

Key Responsibilities

CAD Automation & Development

• Design, develop, and maintain CAD automation solutions using Siemens NX and NXOpen API.
• Build custom applications, scripts, and tools using C# and C++.
• Automate repetitive engineering and mechanical design processes.
• Develop integrations between CAD systems, databases, and other engineering applications.
• Troubleshoot and optimize existing CAD automation solutions.

Software Engineering & Quality

• Design and implement reliable, maintainable software components.
• Develop automated tests to ensure application quality and stability.
• Work with SQL databases for data management and integration.
• Apply version control and software development best practices.
• Participate in code reviews, debugging, and technical documentation.

DevOps & Release Automation

• Work with Azure DevOps for development workflows and CI/CD.
• Implement and maintain automated build and release processes.
• Improve deployment reliability and software delivery efficiency.
• Support continuous integration and testing of CAD automation solutions.

Engineering Collaboration

• Analyze business and technical requirements.
• Collaborate with mechanical engineers, designers, and software development teams.
• Translate engineering requirements into technical automation solutions.
• Identify opportunities to improve CAD workflows and engineering productivity.

Requirements

• Proven commercial experience in CAD automation and engineering software development.
• Strong hands-on experience with Siemens NX and NXOpen API.
• Solid programming skills in C# and C++.
• Experience working with SQL databases.
• Practical knowledge of automated software testing.
• Experience with Azure DevOps.
• Strong understanding of version control systems.
• Experience with build and release automation.
• Background or practical experience in mechanical design and engineering workflows.
• Strong requirements analysis and problem-solving skills.
• Ability to work independently and collaborate with engineering teams.
• Strong English communication skills.

Nice to Have

• Experience developing custom CAD plugins or engineering applications.
• Familiarity with PLM/PDM systems and engineering data management.
• Knowledge of manufacturing processes and mechanical design standards.
• Experience optimizing complex CAD workflows.
• Understanding of CI/CD practices for engineering software.

What We Offer

• Opportunity to work on technically challenging CAD automation solutions.
• Collaboration with experienced software and mechanical engineering professionals.
• Hands-on involvement in engineering process optimization.
• Opportunity to contribute to automation architecture and development practices.

Location & Eligibility

Applications are accepted from candidates based in European Union countries only.

Candidates must be prepared to provide documentation confirming their location and legal eligibility to work, as required for the project.

Interested?

If you have strong Siemens NX/NXOpen expertise, solid C# and C++ development skills, and experience automating mechanical engineering workflows, we would love to hear from you!

Apply now to discuss the opportunity.

Location: Europe, with occasional travel to Belgium.

On behalf of our Client from Belgium, Mobilunity is looking for Senior Full-stack Software Engineer.

Our client is developing an AI-powered SaaS platform designed to automate business processes and improve the operational efficiency of commercial teams. The platform leverages modern technologies to streamline workflows, reduce manual effort, and help businesses operate more effectively.

You will join a small, technically focused team, working on the development and evolution of the platform. This role offers a high degree of autonomy, direct involvement in technical decisions, and the opportunity to build scalable, AI-driven solutions.

Key Responsibilities:

• Design, develop, and maintain full-stack application features using Python, React, and TypeScript.
• Build and optimize backend services, REST APIs, and database integrations.
• Develop responsive, scalable, and maintainable frontend components.
• Integrate AI-powered functionality into the platform.
• Participate in architectural discussions and technical decision-making.
• Take ownership of features throughout the entire development lifecycle, from requirements to production.
• Collaborate closely with product stakeholders to translate business needs into technical solutions.
• Maintain high standards of code quality, performance, scalability, and reliability.

Requirements:

• Strong commercial experience in Python backend development.
• Solid hands-on experience with React and TypeScript.
• Practical experience with PostgreSQL and relational database design.
• Experience designing, developing, and integrating REST APIs.
• Ability to independently develop and deliver end-to-end full-stack features.
• Good understanding of software architecture, scalability, and maintainable code.
• Experience with modern development workflows, including Git and CI/CD practices.
• Strong problem-solving skills and a product-oriented mindset.
• Ability to work autonomously, take ownership of technical tasks, and deliver production-ready solutions.
• Adaptability and comfort working in a fast-moving startup environment.
• Good communication skills and English proficiency.

Nice to Have:

• Experience developing applications using LLMs and AI agents.
• Familiarity with AI frameworks such as LangGraph, Agno, or PydanticAI.
• Experience with FastAPI.
• Knowledge of vector databases, particularly PostgreSQL with pgvector.
• Experience with Google Cloud Platform (GCP).
• Familiarity with Terraform and Infrastructure as Code (IaC).
• Experience using AI-assisted development tools.
• Previous experience working on AI SaaS products or in early-stage startups.
• French or Dutch language skills.

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies. 

We are looking for a Sales Manager (B2B digital marketing) to join our team!

Requirements:

- At least 3 years of B2B sales experience in iGaming, digital marketing, media buying, or affiliate marketing;
- Strong understanding of performance marketing, including paid traffic, CPA/RevShare models, funnels, KPIs, LTV, and ROI;
- Ability to conduct consultative sales calls, present services, and clearly communicate value propositions;
- Confident spoken and written English;
- Strong discipline in CRM usage, pipeline management, and sales forecasting;
- Experience working with different types of clients, from small businesses to large iGaming operators.

Will be plus:

- Existing network of contacts within the iGaming industry
- Experience selling performance-based models (CPA, RevShare, Hybrid)
- Participation in iGaming conferences (SiGMA, iGB, SBC, etc.)

Responsibilities:

- Prospect and acquire new iGaming clients (brands and operators)
- Conduct initial discovery calls and qualify leads
- Present the agency, its services, and case studies
- Develop tailored marketing strategies based on client goals, channels, business models, and budgets
- Close deals, launch partnerships, and drive upsell opportunities
- Coordinate with media buying, affiliate, and operations teams
- Manage CRM, track deal stages, and maintain accurate sales forecasts
- Participate in industry conferences and work with inbound and offline leads

Our benefits to you:

- Modern corporate equipment based on macOS or Windows and additional equipment are provided;

- Paid vacations, sick leave, personal events days, days off;

- Referral program — enjoy cooperation with your colleagues and get the bonus;

- Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences;

- Rewards program for mentoring and coaching colleagues;

- In-house Travel Service;

- Multiple internal activities;

- Other benefits could be added based on your location.

Job Summary

We’re looking for an ambitious, proactive Marketer who is excited to take ownership of our marketing direction, explore new approaches, and make a real impact on business growth.

Marketing is evolving fast. From traditional content marketing and SEO to GEO and AI-driven search, the ways companies reach their audiences are constantly changing.

If you're someone who is excited by these changes and ready to turn them into opportunities, takes initiative, experiments with new tools and strategies, adapts quickly, and isn't afraid to challenge existing approaches to find what works best, fill out the application form!

Requirements

• 1.5–2+ years of marketing experience, preferably in IT, SaaS, UI/UX design, or software development companies.
• SEO knowledge, including content strategy, keyword research, on-page optimization, and how search engines rank websites.
• Interest in Generative Engine Optimization (GEO) and understanding of how ChatGPT, Perplexity, Google AI Overviews, and other AI tools are changing search. Willingness to learn and test new optimization methods.
• Practical marketing experience with campaigns, projects, or experiments you have worked on. You should be able to explain what you did and what results you achieved. We don't expect you to know everything.
• Curiosity and willingness to learn, try new approaches, find opportunities, and change strategies when something isn't working.
• Ability to work independently, suggest ideas, take responsibility for their implementation, and track results.
• Ability to move quickly, test ideas without spending too much time planning, and adapt based on results.
• Good communication and teamwork skills to work with designers, developers, sales, and management.
• Analytical skills to track marketing metrics, understand what works, and make decisions based on data.

Key Responsibilities

• Analyze the company's SEO and GEO strategies.
• Research and test new marketing channels, tools, and ways to attract potential clients.
• Increase organic traffic, brand awareness, and UITOP's visibility in AI-powered search.
• Develop content marketing strategies focused on attracting relevant B2B audiences.
• Research competitors, monitor search algorithm updates, and explore new marketing approaches.
• Come up with ideas, test hypotheses, analyze results, and scale what works.
• Plan and coordinate marketing activities with other team members.
• Gradually take ownership of the company's marketing direction and responsibility for its results.

We don't expect you to know everything about SEO, GEO, or digital marketing. What matters more to us is that you:

• Spot opportunities and come up with ideas to grow the business.
• Take initiative and find solutions without waiting for detailed instructions.
• Are curious, open to learning, and willing to try things you haven't done before.
• Move quickly from ideas to action and test what works in practice.
• Take responsibility for the results of your work, not just completing tasks.
• Want to grow professionally, take on more responsibility, and achieve measurable results together with the company.

What we offer 

• Opportunity to directly influence the company's marketing strategy and business growth.
• Freedom to suggest and test new ideas without lengthy approval processes.
• Support from management and the team to help you bring your ideas to life.
• Access to the tools, resources, and technical expertise you need.
• Opportunity to develop your skills in SEO, GEO, AI, and growth marketing.
• Career growth opportunities with the potential to become Head of Marketing.

Engagement: Full-time
Location: EU (mandatory)
English: Upper-Intermediate (B2)
Availability: Full-time
 

About the Role

We are looking for an experienced Back End Engineer to join our team and work on a project using Python and FastAPI.

We need an engineer who can independently manage the entire backend development lifecycle — from understanding requirements and designing solutions to implementation, testing, deployment, and production support.
 

Requirements

• Commercial experience with Python and FastAPI in production.
• Hands-on experience with asyncio, Dependency Injection, and background tasks.
• Strong knowledge of PostgreSQL, including transactions, locking, indexes, and safe migrations.
• Experience implementing authentication and authorization using OAuth2/OIDC and JWT.
• Understanding of stateless services and backend architecture principles.
• Production experience with AWS or Azure.
• Daily use of AI-powered development tools such as GitHub Copilot, Cursor, Claude, or similar.
• Ability to work autonomously, translate requirements into technical solutions, make engineering decisions, write tests, and deliver features to production.
   

Nice to Have

• Experience with Redis.
• Knowledge of Hasura and GraphQL.
   

Important Details

• Candidates must be physically located in an EU country.
• Full-time availability is required.
• English level: Upper-Intermediate (B2) or higher.

Engagement: Full-time
Location: EU (mandatory)
English: Upper-Intermediate (B2)
Availability: Full-time
 

About the Role

We are looking for an experienced Full Stack Engineer to join our team and work on a project using a modern technology stack.

We are looking for an engineer who can independently manage the entire development lifecycle — from understanding requirements and designing solutions to testing, deployment, and production support.
 

Requirements

• Commercial experience with Python  in production.
• Hands-on experience with asyncio, Dependency Injection, and background tasks.
• Strong knowledge of PostgreSQL, including transactions, locking, indexes, and safe migrations.
• Experience implementing authentication and authorization using OAuth2/OIDC and JWT.
• Understanding of stateless services and backend architecture principles.
• Production experience with AWS or Azure.
• Daily use of AI-powered development tools such as GitHub Copilot, Cursor, Claude, or similar.
• Ability to work autonomously, translate requirements into technical solutions, make engineering decisions, write tests, and deliver features to production.
   

Additional Requirements for the Full Stack Role

• Confident Middle-level experience with React.
• Commercial experience with TypeScript.
• Hands-on experience with Next.js.
   

Nice to Have

• Experience with Redis.
• Knowledge of Hasura and GraphQL.
   

Important Details

• Candidates must be physically located in an EU country.
• Full-time availability is required.
• English level: Upper-Intermediate (B2) or higher.

At Point2Web, you join a performance-driven marketing company focused on delivering real results for advertisers.
Since 2019, we’ve been building scalable growth systems that combine media buying, creative production, and CRO into one integrated structure. We work directly with leading platforms like Meta, TikTok, Google, and Snapchat, and operate where performance truly matters — inside the advertising ecosystem itself.
What makes Point2Web different is how we work:
Excellent service. Total commitment. Driving innovation. Focus on the team. Openness & honesty.
We are structured by vertical expertise, which means you collaborate with professionals who understand the exact monetization models, compliance sensitivities, and scaling mechanics of the markets they operate in.

If you’re looking for an environment where expertise is valued, performance is engineered, and growth is continuous, Point2Web is built for you.
We’re currently looking for a Lead Generation Specialist to join our Client Partners in the Web Unit. You’ll research potential clients, identify decision-makers, and prepare personalized outreach to help our Client Partner build a qualified sales pipeline. Your responsibilities will also include maintaining accurate CRM records and supporting prospecting and follow-ups around industry events.

Requirements:
 

• At least 2 years of experience in lead generation.
• Experience researching companies and decision-makers using LinkedIn, industry databases, company websites, and other relevant sources.
• Ability to identify relevant prospects based on target verticals, geographies, platforms, and ideal customer profile (ICP) criteria.
• Experience using sales automation tools.
• Strong research and analytical skills, with the ability to understand a prospect’s business model, advertising activity, and potential needs.
• Ability to write clear, personalized outreach messages and follow-ups.
• Strong attention to detail when maintaining prospect lists, contact information, and CRM records.
• Proactivity, persistence, and a results-oriented approach.
• Strong organizational and time management skills, with the ability to coordinate multiple research and outreach activities.
• Ability to collaborate effectively with Client Partner and other team members.
• Upper-Intermediate English (B2) or higher.
• Higher education.
   

Key Responsibilities:
 

• Research and identify potential clients based on the company’s target verticals, geographies, platforms, and ICP criteria.
• Build and maintain prospect lists using LinkedIn, industry databases, conference participant lists, company websites, and other relevant sources.
• Identify relevant decision-makers and collect accurate contact information.
• Research prospects’ products, business models, advertising activity, markets, and potential needs.
• Prepare personalized outreach messages, introductions, and follow-ups for potential clients.
• Support Client Partner with outreach through LinkedIn, email, Telegram, and other relevant channels.
• Follow up with prospects according to the agreed sales cadence.
• Help reactivate old leads and reconnect with existing clients when relevant new opportunities arise.
• Support Client Partner with routine legal and documentation tasks related to the sales process.
• Create and regularly update leads, contacts, activities, and deal information in the CRM, ensuring prospect data and communication history remain accurate.
• Research conference participants, sponsors, exhibitors, and speakers to identify relevant prospects and prepare target lists for upcoming industry events.
• Support Client Partner with pre-conference outreach and meeting scheduling.
• Assist with post-conference lead processing and follow-ups.
• Meet agreed KPIs for qualified prospects, positive replies, booked meetings, and sales opportunities generated.
   

What we offer:
 

• Three time slots of working hours in the office: from 11:00 to 20:00, from 12:00 to 21:00, or from 13:00 to 22:00 (EEST time zone).
• A transparent motivation and rewards system. Compensation package: Fix rate + % of profit.
• Medical insurance after six months of successful work.
• 20 working days of Time off + 3 Free days + 3 days of Health-related absence per year.
• English classes tailored to your current level.
• Full remote and optional visiting of our offices 
• Increasing the professional level with courses, training, certifications, and conferences.

Project Description

You are a person who loves watching tables, review that everything works.
You were a spider in your previous life and you hate it when some thread does not work.
You love finding any issues in the system and drilling in the issues as far as you can.
You enjoy working in untypical hours. [ Evening shifts ] [ Early morning shifts ]
You feel that you can make streaming services work seamlessly. By addressing issues as fast as you can.
Join the content experts team to watch content and content tools to deliver the best quality possible with no threads broken.

Job Description

- Understanding of Product Support/Technical Support workflow.
- Good English language skills (Intermediate/B2 level or higher, both spoken and written).
- Strong knowledge of ticketing systems and troubleshooting workflows.
- Familiarity with monitoring and logging tools such as Jira, Grafana, Kibana, and Datadog.
- Knowledge of basic networking concepts.

Good to Have:
- Experience with automation scripting or advanced technical support.
- Basic knowledge of cloud computing platforms.
- Understanding of web applications, server architecture, and HTTP/REST APIs.
- Familiarity with incident management principles and best practices.

Job Responsibilities

Shift Details & Work Schedule:
- Hours: 30–40 hours per week.
- Shifts: 6:00 AM – 3:00 PM or 2:00 PM – 11:00 PM, Monday through Sunday.
- Note: Flexibility is required. Shifts may include 8–12 hours on weekends and/or additional night shifts based on client requests.

Key Responsibilities:

During your shift, you will be responsible for monitoring, triaging, and escalating issues during non-regular working hours. Specifically, you will:
- Monitor content streaming tools to identify and report any system issues.
- Monitor content delivery tools to detect and troubleshoot transcoding errors.
- Ensure third-party vendor tools and integrations are working seamlessly.
- During monitoring downtime, review streaming content and provide quality feedback.