Design, develop, and improve products across the full software lifecycle, focusing on backend development, cloud technologies, and solving real technical challenges.
Responsibilities
Implement architectural decisions ensuring scalability, robustness, and efficiency
Contribute to tooling and products using .NET programming languages and libraries
Design, build, and maintain backend services and APIs using .NET / C#
Support and help operate cloud infrastructure on Azure, including efficient and secure deployments with Kubernetes, Helm, and Service Mesh
Develop and maintain infrastructure as code using Terraform
Requirements
Bachelor’s degree in Computer Science or Software Engineering
Master’s degree in Computer Science or Software Engineering
AI Architect with 6–9 years of overall IT experience, including 3–4 years of hands‑on experience in Artificial Intelligence, Machine Learning, or Generative AI solutions.
Responsibilities
Design end‑to‑end AI solutions across data, model, application, and infrastructure layers.
Translate business problems into AI‑driven technical architectures.
Define AI platform architecture, model deployment strategies, and integration patterns.
Evaluate and select appropriate AI/ML frameworks, tools, and technologies.
Provide architecture guidance for AI initiatives across the organization.
Requirements
Bachelor’s Degree in Engineering (Computer Science or Information Technology)
Nice to have: enterprise AI platform implementation
Nice to have: vector databases (Pinecone, FAISS, Weaviate, etc.)
Nice to have: AI observability and monitoring tools
Seeking an AI Architect with 9+ years of overall IT experience, including 3–4 years of hands-on experience in Artificial Intelligence, Machine Learning, or Generative AI solutions, to define AI architecture strategies and integrate AI capabilities into enterprise applications.
Responsibilities
Design end-to-end AI solutions across data, model, application, and infrastructure layers
Translate business problems into AI-driven technical architectures
Define AI platform architecture, model deployment strategies, and integration patterns
Design and implement machine learning and deep learning solutions
Architect and develop Generative AI applications including LLM integrations, Retrieval-Augmented Generation (RAG), prompt engineering frameworks, and AI agents
Requirements
Bachelor’s Degree in Engineering (Computer Science or Information Technology)
Nice to have: Enterprise AI platform implementation
Nice to have: Vector databases (Pinecone, FAISS, Weaviate)
Nice to have: AI observability and monitoring tools
We are seeking an AI Architect with 6–9 years of overall IT experience, including 3–4 years of hands-on experience in Artificial Intelligence, Machine Learning, or Generative AI solutions. The ideal candidate will have a strong full stack engineering background combined with expertise in designing, developing, and deploying AI-powered systems at scale.
Responsibilities
Design end-to-end AI solutions across data, model, application, and infrastructure layers
Translate business problems into AI-driven technical architectures
Define AI platform architecture, model deployment strategies, and integration patterns
Evaluate and select appropriate AI/ML frameworks, tools, and technologies
Provide architecture guidance for AI initiatives across the organization
Requirements
Bachelor’s Degree in Engineering (Computer Science or Information Technology)
Nice to have: Enterprise AI platform implementation
Tech Lead to be the senior technical voice of the MarTech team, focusing on building systems for user acquisition, tracking, attribution, and lead qualification across Latin American countries.
Locations (3)
Bogota, Colombia
Mexico City, Mexico City, Mexico
Sao Paulo, Brazil
Compensation
Competitive salary and stock options (ESOP) from day one.
Responsibilities
Owning architecture and system design for MarTech's systems, and staying hands-on writing code across backend and frontend
Building the foundation for user acquisition — tracking and attribution, lead capture and qualification, and the integrations with our ad, CRM, and marketing platforms
Senior Software Engineer focused on the Gemini Enterprise mobile app, responsible for mobile and backend development, architecture, and AI integration.
Develop the backend for the Growth direction of Dressly, focusing on payments, advertising platform integrations, and conversion funnels using Node.js/TypeScript.
Locations (3)
Kyiv, Ukraine
Lviv, Ukraine
Warsaw, Mazovia, Poland
Responsibilities
Manage payment flow: integrations with payment providers, orchestration, subscription management, webhooks, retries, and failure handling.
Build and maintain integrations with advertising platforms and third-party APIs (Meta, TikTok, Google) for correct attribution.
Develop backend marketing funnels and Funnel Builder on Node.js/TypeScript.
Independently lead tasks from requirement gathering to release, coordinating with Growth, Marketing, Product, and Analytics stakeholders.
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