• Own the architecture and evolution of the shared components, libraries, and platform capabilities the whole AI team builds on. • Design and build the CI/CD patterns, deployment pipelines, observability tooling, and developer workflows that make shipping agents to production predictable and repeatable. • Lead the team on AI tooling adoption—coding assistants, agentic development workflows, evaluation frameworks. • Carry work from requirements shaping and solution design through deployment, monitoring, and iteration. • Articulate a clear engineering direction to your team and to stakeholders. Translate ambiguous problems into concrete plans. • Actively grow the engineers around you. Run technical reviews, establish best practices, and create an environment where the team can move quickly—without constantly second-guessing their decisions.

• Partner with Product to translate roadmap priorities into technical designs, implementation plans, and delivery strategies • Design and implement features across application, data, and infrastructure layers • Own and evolve core platform architecture across both Rails and Python systems • Make high-impact architectural decisions (service boundaries, modularization, data access patterns, scalability) • Build and optimize high-scale background processing systems (notifications, scoring, ingestion, exports, etc.) • Develop workflows spanning APIs, background jobs, ingestion pipelines, search/discovery, and reporting • Investigate production issues, identify root causes, and improve platform reliability • Implement AI-powered features including LLM orchestration, prompt workflows, and observability controls • Leverage AI-assisted development tools for coding, testing, refactoring, and documentation • Document architectural decisions and system behavior for long-term maintainability • Collaborate with Engineering, Product, Customer Success, and Support teams to continuously improve the platform

• Design and develop agentic AI systems that can retrieve relevant information and interact with tools and services to support and automate operational workflows in cloud environments • Design and implement agentic AI systems capable of reasoning, planning, and executing tasks across complex operational environments • Develop AI agents that can interact with tools and services, including APIs, monitoring systems, knowledge bases, and operational platforms • Build mechanisms for context and knowledge retrieval, enabling agents to access documentation, historical data, and structured information required for decision-making • Implement autonomous or semi-autonomous workflows where AI agents assist humans by analysing situations, proposing actions, and executing tasks where appropriate • Develop scalable backend services and interfaces that allow agents to interact with enterprise systems and cloud platforms • Deploy and operate agent-based solutions in cloud-native environments, ensuring reliability, observability, and maintainability

Role Description We are seeking a talented and motivated Senior AI Engineer to join our team. The person will play a key role in designing, implementing, and maintaining AI solutions that create business value and enhance user experiences. - Design and develop agentic AI systems that can retrieve relevant information and interact with tools and services to support and automate operational workflows in cloud environments. - Design and implement agentic AI systems capable of reasoning, planning, and executing tasks across complex operational environments. - Develop AI agents that can interact with tools and services, including APIs, monitoring systems, knowledge bases, and operational platforms. - Build mechanisms for context and knowledge retrieval, enabling agents to access documentation, historical data, and structured information required for decision-making. - Implement autonomous or semi-autonomous workflows where AI agents assist humans by analysing situations, proposing actions, and executing tasks where appropriate. - Develop scalable backend services and interfaces that allow agents to interact with enterprise systems and cloud platforms. - Deploy and operate agent-based solutions in cloud-native environments, ensuring reliability, observability, and maintainability. Qualifications - Bachelor’s or Master’s in Computer Science or an equivalent field. - 5+ years of professional experience with Python programming language. - Experience with building REST APIs and backend services. - Extensive experience in the full software development life cycle, from design and implementation to testing and deployment. - Experience building LLM (Large Language Models) - based applications and agent workflows. - Prompt engineering and tool integration. - Experience with RAG, context management and vector databases. - Practical understanding of security and safety in agent systems (prompt injection, data privacy, least-privilege tool access). - Experience in using Git in a professional/business environment. - Ability to communicate clearly and concisely about complex technical, organizational and/or architectural challenges and propose iterative solutions. - Experience working in Agile/Scrum environments. - Proficiency in written and spoken English. Requirements - Familiarity with MCP or A2A communication. Benefits - A warm and supportive work environment where you can reach your full potential. - Flexible working hours that allow you to balance your work and personal life. - Unlimited home office to help you stay productive and focused. - Opportunities for professional development, including certifications and training. - Additional benefits for academic teaching and speaking engagements. - Knowledge-sharing sessions where you can learn from our Dreamix team. - Team and company-wide events that bring us together. - Amazing week-long summer office and winter office initiatives. - Additional health insurance and dental allowance to ensure your well-being. - Multisport card to encourage a healthy and active lifestyle. - Office massages to help you relax and unwind.