LLM Solutions Engineer
Team8
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:
- Prior 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