Applied AI Engineer

2+ years of professional software engineering experience, ideally in a startup. Strong expertise in Python with a focus on AI/ML applications. Proven experience deploying LLM systems to production with robust evaluation, guard-railing, and monitoring. Master's or PhD degree in Machine Learning, Computer Science, or a 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 with technical teams and business stakeholders. Comfort whiteboarding AI system designs with enterprise customers. Thrives in fast-paced, dynamic startup environments with high-stakes deliverables.

Develop and deploy agentic LLM workflows for contract analysis, vendor research, and negotiation planning. Create AI agents specialized in procurement areas like CapEx Equipment, Professional Services, Software & Technology, and Logistics & Supply Chain. Build multi-dimensional optimization systems considering price, terms, risk, timeline, and relationship factors. Architect end-to-end negotiation workflows including contract intelligence, strategic reasoning, human orchestration, and outcome optimization. Develop multi-agent collaboration frameworks for enterprise negotiations. Build LLM evaluation systems for negotiation performance, safety, and behavioral consistency. Create tooling to connect AI agents to major procurement systems (SAP, Oracle, Coupa, GEP). Build real-time negotiation dashboards and control systems. Develop enterprise-grade security, compliance, and audit capabilities. Work with procurement executives to refine AI negotiation strategies. Demo negotiation prototypes and gather feedback. Collaborate with domain experts to ensure AI agents understand procurement dynamics.