• Design, develop and maintain our container analysis and hardening infrastructure to ensure the security and reliability of our containerized applications. • Collaborate with cross-functional teams to identify system requirements and design efficient and scalable solutions. • Write clean, efficient and maintainable code in C/C++, Python, and other relevant languages. • Utilize static and dynamic code analysis tools, such as LLVM, eBPF and similar technologies, to identify vulnerabilities and optimize system performance. • Implement and maintain container technologies like Docker and Kubernetes to support our cloud computing environment. • Automate deployment and configuration processes to streamline operations. • Stay up-to-date with the latest advancements in system programming, containerization and open-source technologies. • Provide technical guidance and support to junior team members when required. • Collaborate effectively with stakeholders and communicate project status, risks and challenges.

• Partner in shaping the technical approach and architecture of agentic systems, helping translate evolving needs into practical, scalable solutions. • Design and implement agentic workflows that support two-way interaction between humans, agents, and internal systems. • Build and orchestrate workflow logic using tools and frameworks such as Zapier + code, n8n (or similar), APIs, and event-driven architectures. • Partner to integrate people-focused agentic workflows into a cohesive, reliable entry-point experience. • Bring a technical perspective to early-stage ideas and prototypes, helping assess feasibility, trade-offs, and paths to production. • Help evolve early implementations into more robust, maintainable, and production-ready systems. • Help establish and document patterns for reliability, observability, and safe failure in agentic workflows. • Ensure implementations align with defined trust models, escalation rules, and human-in-the-loop principles. • Work hands-on with LLMs, prompts, and agent behaviour to prioritize correctness, clarity, and human accountability. • Evaluate and integrate tools, frameworks, and platforms that support agentic patterns as the system matures. • Contribute to and document shared standards and patterns for AI-augmented systems at Orium. • Design and evolve retrieval and indexing approaches (e.g., RAG, structured knowledge sources) to ensure agents operate on accurate, relevant, and up-to-date context.

• Partner in shaping the technical approach and architecture of agentic systems, helping translate evolving needs into practical, scalable solutions. • Design and implement agentic workflows that support two-way interaction between humans, agents, and internal systems. • Build and orchestrate workflow logic using tools and frameworks such as Zapier + code, n8n (or similar), APIs, and event-driven architectures. • Partner to integrate people-focused agentic workflows into a cohesive, reliable entry-point experience. • Bring a technical perspective to early-stage ideas and prototypes, helping assess feasibility, trade-offs, and paths to production. • Help evolve early implementations into more robust, maintainable, and production-ready systems. • Help establish and document patterns for reliability, observability, and safe failure in agentic workflows. • Ensure implementations align with defined trust models, escalation rules, and human-in-the-loop principles. • Work hands-on with LLMs, prompts, and agent behaviour to prioritize correctness, clarity, and human accountability. • Evaluate and integrate tools, frameworks, and platforms that support agentic patterns as the system matures. • Contribute to and document shared standards and patterns for AI-augmented systems at Orium. • Design and evolve retrieval and indexing approaches (e.g., RAG, structured knowledge sources) to ensure agents operate on accurate, relevant, and up-to-date context.

• Evaluate business processes to identify requirements, uncover improvement opportunities, and implement effective solutions. • Analyze and interpret data from multiple sources to provide meaningful insights that support decision-making. • Improve operational efficiency by recommending new processes, tools, and techniques for teams and functions. • Coordinate user acceptance testing to ensure solutions meet business needs and quality standards. • Develop and document clear business requirements, processes, reports, and actionable recommendations. • Communicate analysis results, insights, and plans effectively to cross-functional teams, leadership, and management. • Support stakeholders by explaining implications of options and decisions and enabling informed choices. • Build strong stakeholder relationships by gathering input, providing regular updates, and delivering concise, useful reports.