Applied AI Engineer

2+ years of professional software engineering experience Strong expertise in Python with focus on AI/ML applications Proven experience deploying LLM systems to production Master's or PhD degree in Machine Learning, Computer Science, or related quantitative field Deep understanding of transformer architectures and large language model capabilities Previous research and publications in large language models, multi-agent systems, or AI negotiation (preferred) Experience with enterprise B2B software development and integration (preferred) Understanding of procurement processes, contract analysis, or business negotiations (preferred) Experience building AI systems that require high reliability and explainability (preferred) Ability to architect and build complex, production-ready AI systems from scratch Strong communication skills Comfort whiteboarding AI system designs Thrives in fast-paced, dynamic startup environments

Develop and deploy agentic LLM workflows Create AI agents specialized in key procurement areas Build multi-dimensional optimization systems Architect end-to-end negotiation workflows Develop robust multi-agent collaboration frameworks Build comprehensive LLM evaluation systems Create sophisticated tooling to connect AI agents to major procurement systems Build real-time negotiation dashboards and control systems Develop enterprise-grade security, compliance, and audit capabilities Work directly with procurement executives to refine AI negotiation strategies Demo advanced negotiation prototypes and gather feedback Collaborate with domain experts