Applied AI Engineer

About The Company The company develops AI‑powered solutions that automate complex manual workflows within highly regulated environments. Rather than offering a one‑size‑fits‑all platform, the team builds deeply customized solutions tailored to each customer's operational processes. Following a successful oversubscribed seed funding round backed by leading venture capital firms and notable technology investors, the company has experienced rapid commercial growth and is preparing for its next phase of expansion. It already works with several major enterprise customers and continues to expand internationally. The engineering team consists of experienced professionals from leading technology companies, AI research institutions, and high‑growth startups. The organization maintains a collaborative, flat structure where engineers contribute directly to technical direction and product decisions. About The Role This is one of two Applied AI Engineer positions that sit at the heart of the company's AI platform. The ideal candidate enjoys solving real‑world workflow problems using large language models rather than simply experimenting with prompts or benchmarks. You will own AI‑powered features from concept through production deployment, working closely with customers to build reliable AI systems in a regulated environment. This role offers significant ownership and the opportunity to influence product direction while collaborating across engineering and product teams. Key Responsibilities Design, build, and deploy LLM‑powered features from concept through production. Deliver production‑ready AI functionality within a fast‑paced engineering environment. Analyze model outputs, identify failure cases, and continuously improve system performance. Collaborate directly with customers to understand workflows and refine AI solutions. Build robust evaluation frameworks that measure real production performance. Select, evaluate, and optimize foundation models for specific business use cases. Develop multi‑step AI agents and orchestration systems for complex workflows. Build structured information extraction pipelines from PDFs, scanned documents, forms, and tabular data. Work across the full product stack to deliver complete AI solutions. Required Qualifications Exceptional software engineering background demonstrated through impactful work at high‑performing technology organizations, AI research groups, quantitative firms, or rapidly growing startups. Strong Python programming skills. Hands‑on experience with modern LLM ecosystems including OpenAI, Anthropic, Azure OpenAI, structured outputs, function calling, and related AI tooling. Experience building production‑grade AI systems beyond simple chatbot implementations. Deep understanding of prompt engineering, evaluation methodologies, and model failure analysis. Ability to work across both backend (Python) and frontend technologies (TypeScript/React). Strong product thinking with the ability to design AI solutions around complete business workflows. Preferred Qualifications Experience conducting AI or machine learning research. Previous founder or startup experience. Fellowship experience with recognized startup accelerators or entrepreneurial programs. Strong academic background in Computer Science, Artificial Intelligence, or Engineering. Experience shipping AI products in early‑stage or high‑growth technology companies. Compensation