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Requirements:
5+ Years of experience as a Fullstack Engineer
Strong experience in Backend development with Node.js / TypeScript
Proven experience in System Design and software architecture
Strong experience in React and modern Frontend environments
Experience with AWS Serverless and Cloud-based systems
Ability to lead a technology product end-to-end
Previous experience in SaaS / Cyber environments - significant advantage
Familiarity with cybersecurity domains and CISO-related challenges - strong advantage
Experience with AI Development tools such as Cursor - advantage

Requirements:
At least 3 years of experience as a System Analyst
Bachelors degree in Industrial Engineering, Computer Science, Software Engineering, Information Systems, or a related field
Proven experience writing functional and technical specification documents
Strong understanding of software development methodologies (Agile / Scrum)
Familiarity with AI-based systems
Ability to work with multiple stakeholders simultaneously
Strong analytical thinking and problem-solving skills
Experience working with cloud platforms (AWS / GCP / Azure)
Advantages:
Experience with HR systems such as payroll, attendance, human resources, or pension systems

Requirements:
3-5 years of experience in software development (Mid-Level)
Strong experience in frontend development with React
Strong experience in backend development with Python or Node.js
Experience in SaaS / product-driven companies
Experience working with cloud environments (AWS or GCP)
Familiarity with AI/LLM-based systems or experience working on AI-driven products
Strong ownership mindset and ability to thrive in a fast-moving startup environment

Requirements:
5+ years of experience in backend / software engineering
Strong Python experience
Proven experience designing architecture and complex systems
Experience with large-scale production environments
Strong system thinking and full ownership mindset
Experience in startup / fast-paced environments
Advantages:
Previous experience as a Tech Lead or Architect
Background in AI systems or data-heavy products
Experience implementing AI workflows into engineering processes
Experience with cloud, Docker, and distributed systems

Requirements:
3+ years of experience in AI / LLM / agent development
Experience building AI agents and agent tools, including multi agent systems and agent memory
Hands-on experience building AI products that reached production
Strong Python experience
Experience with Docker and Git
Good understanding of LLMs, prompting, and agentic workflows
Ability to work in a dynamic startup environment
Advantages:
Background in data / analytics
Experience with RAG and evaluation systems
Experience with vector databases or orchestration frameworks

Requirements:
5+ years of experience in backend / software engineering
Strong Python experience
Proven experience designing architecture and complex systems
Experience with large-scale production environments
Strong system thinking and full ownership mindset
Experience in startup / fast-paced environments
Advantages:
Previous experience as a Tech Lead or Architect
Background in AI systems or data-heavy products
Experience implementing AI workflows into engineering processes
Experience with cloud, Docker, and distributed systems

Requirements:
3+ years of experience in AI / LLM / agent development
Experience building AI agents and agent tools, including multi agent systems and agent memory
Hands-on experience building AI products that reached production
Strong Python experience
Experience with Docker and Git
Good understanding of LLMs, prompting, and agentic workflows
Ability to work in a dynamic startup environment
Advantages:
Background in data / analytics
Experience with RAG and evaluation systems
Experience with vector databases or orchestration frameworks

Requirements:
4+ years of experience developing for macOS and/or iOS
Strong proficiency in Swift and Objective-C
Deep understanding of Apple platforms and core technologies
Experience with SwiftUI and modern Apple development practices
Solid knowledge of multithreading and software engineering principles
Strong problem-solving skills and ability to work independently
Excellent communication and teamwork skills
B.Sc. in Computer Science or equivalent experience
Nice to Have:
Experience with cross-platform C/C++ components
Background in VPN or endpoint security applications
Experience with networking and network protocols
Familiarity with Apple Network Extensions or System Extensions
Experience with CI/CD pipelines
Knowledge of macOS security practices (sandboxing, notarization)
Experience developing daemons, launch agents, or app extensions
Background in low-level system programming or macOS internals

Requirements:
● 6+ years of experience in fullstack development
● Strong hands-on experience with React and Node.js
● Experience working with AI-based development tools (e.g. Cursor, Claude) - mandatory
● Proven experience building and scaling complex web applications
● Strong understanding of performance optimization
Nice toHave:
● Experience with Next.js / NestJS
● Familiarity with design systems and component libraries
● Experience with monitoring and observability tools

Requirements:
B.Sc. in Computer Science or Software Engineering.
3-6 years of experience in Embedded Software Development (mandatory).
Experience with real-time embedded systems.
Strong knowledge of C, C++, and Object-Oriented Programming (mandatory).
Experience with Real-Time Operating Systems.
Advantage: Background in electronics, communication systems, or control systems.
Excellent written and spoken English.
Team player with the ability to work independently.
Proactive, able to take initiative and follow tasks from start to finish.
Quick learner, adaptable to new skills and technologies.

Requirements:
2+ years of proven experience in delivering technological trainings and enablement programs, combined with hands-on involvement in technology implementation projects.
Academic degree in a technological field and/or a degree in Learning Technologies / Instructional Design.
Strong technological background with the ability to work hands-on with enterprise systems as part of implementation projects.
Experience working directly with large and/or international clients, including delivery in diverse organizational environments.
Proven ability to design, deliver, and facilitate professional trainings, workshops, and onboarding sessions, including creation of supporting learning materials.
Excellent presentation and communication skills in English - fluent spoken and written.
Familiarity with Microsoft 365 technologies such as Teams, SharePoint, OneDrive, Power Automate, or Power Apps - a significant advantage.
Exposure to AI-based productivity tools, including Microsoft Copilot or similar solutions - an advantage.
Ability to translate business and user needs into practical, usable technology solutions.
Strong interpersonal skills, independence, and comfort working in client-facing, delivery-oriented roles.

Requirements:
4 years in Data Science, with industry experience in building and optimize AI/ML models
Specialized expertise in modern machine learning methods related to Natural Languages Processing (Transformers, Embeddings, LLMs)
Experience deploying AI/ML services and applications on at least one major cloud platform (Azure, AWS, GCP)
Pratrical skills using modern ML and Generative AI frameworks (Langchain, PyTorch, Tensorflow, Hugging Face and other open-source/ APIs and similar)
Experience with LLM applications and techniques, such as Retrieval-Augmented-Generation (RAG), Chane-of-Thought (CoT) prompting, and open-source LLMs fine tuning
Ability to write production ready code, with strong expertise in designing and implementing ML pipelines
Excellent problem-solving skills with a critical and creative mindset
Exceptional communication skills and a collaborative approach to teamwork
BSc, master or PhD in appropiate technology field (Computer Science, Electrical Engineering, Statistics, Applied Math, etc.)
A Big Plus If You Have:
Extensive experience in integrating and working with vector databases (e.g. Elastic, Milvus and more) for high-performance similarity search, semantic search and embeddings management.
Experience with building continuous integration and monitoring for Machine Learning applications.