Travtus

AI Engineer

• Design and develop multi-agent prompts and orchestration patterns
• Define how agents, tools, APIs, services, and platform components interact, including requirements, contracts, and integration patterns
• Work alongside platform engineers to define the APIs and services that agents consume and use
• Work closely with product engineers to support user experience and front-end design, including the use of prompt outputs as code
• Own LLM and prompt tooling across the full lifecycle, from prompt management and versioning through evaluation, testing, and optimisation
• Design requirements for downstream and supporting services that enable agent execution, workflow control, observability, and integration
• Lead the research, evaluation, and selection of frameworks for agent orchestration, tool use, evaluation, observability, and deployment
• Perform model selection based on use case fit, quality, latency, scalability, and cost
• Design and implement tools and function-calling patterns for agent-based systems
• Carry out prompt tuning and iterative optimisation of agent behaviour and output quality
• Monitor, debug, and continuously tune agents in development and production
• Design for performance, scalability, reliability, usability, maintainability, and cost efficiency
• Define and execute testing strategies for LLM agents and platform-level AI workflows
• Integration test agents end to end with other parts of the platform to ensure reliability across workflows, services, and user-facing experiences
• Build proofs of concept and prototypes to validate architectures, frameworks, and new platform capabilities
• Produce end-to-end solution designs for AI platform components and services
• Use AI to improve software development , including prototyping, implementation, testing, debugging, and engineering productivity
• Collaborate across engineering and product teams to translate business and technical goals into robust platform capabilities

Platform Engineer

• Design and develop multi-agent prompts and orchestration patterns
• Define how agents, tools, APIs, services, and platform components interact
• Work alongside platform engineers to define the APIs and services that agents consume
• Monitor, debug, and continuously tune agents in development and production
• Build proofs of concept and prototypes to validate architectures, frameworks, and new platform capabilities

AI Platform Engineer

Product Designer

• Own the end-to-end design process, from discovery through to delivery and iteration
• Work closely with product managers, engineers, and stakeholders to define problems, explore solutions, and deliver fully realised, build-ready designs
• Design for complex, AI-driven workflows, thinking through edge cases, error states, and real-world usage scenarios
• Bring structure to a fast-evolving product, creating and evolving design systems, patterns, and frameworks that ensure consistency and scalability across the platform
• Shape product direction—balancing user needs, technical constraints, and business goals—while using data, feedback, and AI tools (e.g. Claude) to inform decisions and accelerate your workflow