the RoleWe're a fast-growing enterprise AI solutions company building production-grade Generative AI applications that drive measurable impact for our clients across industries including Private Equity, Healthcare, Manufacturing, and Ecommerce
Our team of 20+ AI engineers delivers end-to-end AI transformation — from strategy to deployment — with a focus on clean architecture and tangible results.
We're looking for a Forward Deployed Engineer to operate at the intersection of engineering, product, and customer success.
You'll design and ship full-stack AI workflows in ambiguous, high-stakes environments — often embedded directly with client or operations teams.
This is a high-ownership, high-impact role for engineers who love working close to the customer.
What You'll DoDesign and implement full-stack AI applications — from UI to API to orchestration logic.
Rapidly build and deploy functional prototypes to test ideas and drive immediate value for clients.
Work hands-on with internal and external stakeholders to shape.
Requisitos
and debug problems in real-time.Own the technical delivery of custom solutions, integrations, and workflow automation end-to-end.Collaborate closely with AI, product, and design teams to iterate on user-centric features.Contribute to a growing internal toolkit of reusable components, design patterns, and best practices for GenAI systems.What We're Looking ForRequired:Strong CS fundamentals and a track record of end-to-end ownership of AI-powered workflows in production environments.Experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines with vector databases.Proficiency building and deploying production-grade AI applications using OpenAI APIs and LangChain.Hands-on experience with a modern frontend stack: Next.js, React, TypeScript, and Tailwind CSS.Experience deploying on cloud platforms (Azure, AWS, and/or GCP) and managing scalable AI workloads.Solid production-grade testing, monitoring, and reliability ...