Software Engineer (Agentic)

decision-makingBuild systems that allow agents to interact with APIs, databases, external services and other softwareExperiment with different approaches to agent orchestration and multi-agent systemsBuild evaluation frameworks to understand how agents perform and continuously improve their reliabilityWork on agent workflows, context management, retrieval and LLM infrastructureTurn research and experimentation into robust, production-quality softwareSolve challenging problems around agent reliability, autonomy, latency and scalabilityWork closely with highly capable engineers and researchers across AI and softwareHave significant influence over the architecture and technical direction of the platformYou’ll be a strong fit if you haveStrong software engineering fundamentals and experience building production-quality systemsStrong experience with Python, or another modern programming languageA genuine interest in LLMs, agentic AI and the future of AI-powered softwareExperience building with

LLMs, AI agents or agent frameworks - professionally or through serious personal projectsAn understanding of concepts such as tool calling, RAG, agent orchestration, context management or multi-agent systemsStrong problem-solving ability and the desire to work on technically difficult, ambiguous problemsThe ability to learn quickly and work across both established engineering practices and rapidly evolving AI technologyYou don’t need to have spent your career working in AI. Strong software engineers who have built interesting agentic AI projects and understand where the technology is heading are very much encouraged to apply.What you’ll get in returnCutting-edge AI: Work directly on the next generation of AI software rather than simply consuming existing modelsTechnical ownership: Have a genuine say in how the company’s agent architecture evolvesHard engineering problems: Work on reliability, orchestration, evaluation, scalability and autonomyFast development: Work alongside highly capable engineers and AI specialistsReal impact: Build agents that solve meaningful problems rather than toy demonstrationsVariety: Constantly experiment with new models, techniques and approaches as the field evolvesEquity: Have genuine ownership in the company you’re helping to build #J-18808-Ljbffr