Software Engineer, Generative AI Engineering

Proven experience designing and building LLM-powered agents and multi-step agentic workflows for 1 year+. Understanding of security principles in distributed systems, especially Role-Based Access Control (RBAC) in an enterprise context. Demonstrated ability to design prompts that yield reliable, structured JSON or other structured data formats from LLMs. 4+ years of professional software engineering experience, with strong proficiency in Python and hands-on experience coding AI-native tools and applications. Experience working within large-scale enterprise environments and developing for Platform as a Service (PaaS) models.

Spearhead the research and development of advanced multi-agent workflows, chains, and collaborative problem-solving techniques. Prototype and validate security models for cross-organizational agent interaction, including fine-grained Role-Based Access Control (RBAC) and user token forwarding primitives. Design and implement novel prompting strategies and agent tool-chains that produce reliable, structured outputs for complex enterprise tasks. Develop proof-of-concept AI agents and tools on our Platform as a Service (PaaS) architecture. Develop and deploy the core services of the PaaS, including agent registration, message routing, fine-grained permission checks, and a centralized management API. Own the platform, ensuring automated, safe, and efficient delivery of new features and infrastructure changes.