תיאור המשרה
Description Insait is redefining how financial institutions engage with their customers using AI. Our platform leverages advanced LLM technology to power enterprise-grade conversational agents that drive revenue outcomes across lending, deposits, and customer engagement. We work with 30+ global financial institutions , including leading banks and insurance companies, and have already reached millions of dollars in ARR . Insait is currently finalizing a $20M Series A round led by top-tier investors , and we’re scaling rapidly to meet growing demand from enterprise clients across the US and globally. This is a rare opportunity to join an AI company at an inflection point — building real production systems used by some of the largest financial institutions in the world. About the Role: We’re looking for a LLM Solutions Engineer who can bridge business problems and cutting-edge AI technology . In this role you will work directly with enterprise clients and internal teams to design and deliver LLM-powered workflows that solve real business challenges . You will combine prompt engineering, workflow design, evaluation frameworks, and experimentation to ensure solutions perform reliably in production environments. This is a hands-on role in a fast-moving startup , ideal for someone excited about applying LLM technology to real-world enterprise use cases at scale. Responsibilities: Partner with customers and internal teams to translate business requirements into LLM-powered workflows. Design, refine, and optimize high-quality prompts and automated flows that solve real-world enterprise use cases. Build structured evaluation plans to test workflows against accuracy, reliability, and compliance standards. Identify and resolve edge cases to ensure consistent, production-ready performance. Collaborate with engineering, product, and data teams to iterate quickly and drive product improvements. Act as an advocate for best practices in LLM development, ensuring solutions meet enterprise-grade expectations. Requirements 3+ years of experience working with LLMs or generative AI APIs (OpenAI, Anthropic, etc.). Strong expertise in prompt engineering and workflow design , with proven ability to optimize for performance. Experience translating complex business requirements into technical solutions. Familiarity with testing/QA methodologies for AI workflows — automation experience is a plus. Excellent communication skills and ability to engage with customers directly. Passion for LLMs, with a fast-learning mindset and a desire to build innovative AI-driven products. High proficiency in English. Flexibility and willingness to work on-site at customer locations for extended periods (3–12 months), depending on project requirements. Nice to have: Experience building AI solutions for enterprise environments Background working with financial institutions or regulated industries Familiarity with Python or workflow automation tools
