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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.

Requirements:
Strong technical capabilities with solid understanding of platform and DevOps environments- must
2 years Hands-on experience with the Elastic stack - must
Familiarity with Ansible and Git.
Experience with or knowledge of Kafka - a significant advantage.
Familiarity with OCP (OpenShift Container Platform) - an advantage.
High security clearance is a plus.

Requirements:
Bachelors degree in Computer Science, Software Engineering, or a related field.
Approximately 7 years of software development experience, including 3 years in a managerial role overseeing multiple teams in an enterprise environment.
Experience with complex Web & Mobile systems.
Advantage for candidates with prior experience in Mobile development (Xamarin or HO).
Experience with Web technologies (Angular, .NET) and DBA/SQL is also an advantage.
Strong understanding of enterprise architectures, Microservices, and APIs.
Experience with Agile/Scrum methodologies.
Ability to translate business needs into technological solutions and prioritize tasks effectively.
Availability for occasional non-standard hours.

Requirements:
Technical Expertise:
Programming: Advanced proficiency in Python for backend development and AI applications
GenAI Mastery: Deep understanding of large language models (LLMs) and experience with major model APIs (OpenAI, Anthropic, Google, etc.)
Multi-Agent Systems: Expertise in designing and implementing GenAI multi-agent architectures
Prompt Engineering: Advanced skills in prompt design, optimization, and engineering techniques
Cloud Platforms:
Required: Hands-on experience with AI services in at least one major cloud platform (GCP, Azure, or AWS)
Advantage: Experience across multiple cloud platforms (AI Search, Vertex AI, SageMaker, etc.)
Development Frameworks: Experience with GenAI frameworks like LangChain and cloud-based retrieval services
Software Engineering: Strong background in microservices architecture, API development, and production system design
AI/ML Fundamentals: Solid understanding of deep learning principles and GenAI techniques
Containerization (Advantage): Experience with Docker and Kubernetes for deployment and orchestration
OCR Technologies (Advantage): Experience with Optical Character Recognition systems and document processing
Data Pipelines (Advantage): Experience building and maintaining data processing pipelines
Professional Experience
Mid+ Level Experience: 2+ years in AI/ML development with significant GenAI project experience
Production Systems: Proven track record of deploying and maintaining AI solutions in production environments
Client-Facing Experience: Comfortable with technical presentations and requirement gathering sessions
Education & Background
Preferred: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related technical field
Alternative: Demonstrated industrial experience in developing deep learning and GenAI solutions (degree not required with strong portfolio)
Soft Skills
Problem-Solving: Excellent analytical and creative problem-solving abilities
Communication: Strong technical communication skills for both technical and non-technical audiences
Collaboration: Proven ability to work effectively in cross-functional teams
Adaptability: Thrives in fast-paced environments and eager to learn emerging technologies
Consulting Mindset: Ability to understand client needs and provide strategic technical guidance.

Requirements:
7+ years of experience building React-based applications (at least semi-recent version, 16+)
Strong understanding of frontend architecture, design patterns, and scalability
Hands-on experience with modern UI testing frameworks
Proven ability to write clean, maintainable, high-performance code
Experience using AI-assisted development tools (e.g. Copilot, Cursor)
Experience with Node.js - advantage
Experience with Go or Java - advantage
Nginx experience - advantage
Background in authentication, authorization, or cyber security - advantage

Requirements:
What Were Looking For
3+ years of experience in software, ML, or data-related roles
Hands-on experience building and shipping GenAI / LLM systems in production
Strong Python skills
Experience with RAG, agents, fine-tuning, or similar implementations
Experience with LLM providers (OpenAI, Anthropic, Cohere, or open-source)
Experience working in cloud environments (AWS / GCP / Azure), with familiarity in MLOps
Experience leading technical decisions, owning systems, or mentoring engineers
Important Note
Were looking for engineers who have built GenAI systems that went live. Experience limited to research, academic work, or POCs is less relevant. No formal Tech Lead title is required - what matters is what youve actually built, shipped, and owned.

Requirements:
5+ years of software development experience
Strong hands-on experience in Android development (Kotlin preferred)
Solid experience in iOS development (Swift)
Experience integrating web layers within native mobile containers (e.g., WebView-based architectures)
Strong understanding of mobile application lifecycle and runtime behavior
Experience working with mobile device capabilities such as push notifications, biometric authentication, and secure storage
Experience with mobile build, signing, and distribution processes (App Store / Google Play) - advantage
Solid JavaScript / TypeScript understanding and ability to work with React-based UI layers
Experience working in production enterprise environments.

Requirements:
5+ years of frontend development experience
Strong expertise in React and TypeScript
Proven experience building large-scale Single Page Applications
Deep understanding of state management patterns
Strong understanding of REST API integration and asynchronous data handling
Experience with performance optimization in complex frontend applications
Experience working with design systems and component-based architecture
Experience working in production enterprise environments
Familiarity with hybrid mobile contexts - advantage
This position is open to all candidates. We are committed to diversity and view it as a source of strength and growth. We believe in inclusion and empower women and men alike.

Requirements:
Must Have
3+ years of relevant software engineering experience
Working knowledge of GenAI concepts and LLM integration
Strong proficiency in Python for backend development
Solid experience designing and building production systems (APIs, Microservices, databases, message queues, authentication)
Hands-on experience with at least one major cloud platform (GCP, Azure, or AWS)
Understanding of software architecture patterns and best practices
Bachelors degree in Computer Science or related field or equivalent practical experience
Advantages
Experience with multiple cloud platforms
Docker and Kubernetes experience
Experience with LLM provider APIs (OpenAI, Anthropic, Google) including function calling and streaming
Data pipeline development experience
What We're Looking For
Strong problem-solving skills ability to model a problem correctly and propose complete solutions
Attention to detail and ability to go deep into implementation
Ability to quickly learn and apply new technologies, especially in the GenAI space
Clear technical communication skills
Comfort working in a fast-paced consulting environment with varying project types.