Teams at Obin AI

Build and lead production-grade agentic AI systems for regulated financial institutions. Responsibilities include setting AI governance and evaluation standards, designing LLM and RAG agents, owning backend infrastructure and APIs, optimizing reliability and performance, partnering with customers, shaping platform architecture, and mentoring engineers. The role requires extensive software engineering and AI/ML experience, strong Python and cloud infrastructure skills, and expertise in multi-agent orchestration, safety, and system evaluation.

Build and evaluate LLM-based agentic applications for regulated financial workflows. Responsibilities include developing evaluation methods, optimizing prompts and contexts, conducting applied and exploratory AI research, integrating models and proprietary data, designing AI-native systems, and applying statistics and machine learning to investment processes such as sourcing, screening, due diligence, and asset monitoring.

Build and scale production LLM-powered agents and RAG systems for regulated financial workflows. Responsibilities include designing agent orchestration, backend infrastructure, APIs, evaluation and optimization frameworks, observability, and reusable AI platforms. The role involves direct customer collaboration, technical architecture ownership, and establishing engineering standards. Candidates should bring substantial software engineering experience, production experience with AI agents, Python expertise, cloud infrastructure knowledge, and strong systems architecture and communication skills.