The role requires a strong focus on building AI-native solutions where LLM technology is central to value creation. As part of a dedicated team you will be responsible for designing agentic systems and writing production-grade code while establishing effective evaluation and observability practices. You will collaborate closely with subject matter experts and users to identify real value opportunities and create appropriate feedback mechanisms. This involves designing end-to-end systems including workflows agents and context engineering while ensuring robustness through proper failure handling and judicious use of domain expertise. Your responsibilities will also include direct interaction with clients to establish feasibility and create tailored integrations through Python programming. Knowledge in retrieval augmented generation techniques and experiences with cloud deployment practices are essential.
