Forward Deployed Engineer

• Design 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 requirements 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.

• 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 practices for AI systems.
• Strong client-facing communication and stakeholder management skills - able to translate ambiguous requirements into clear, deliverable solutions.
• Ability to collaborate fluidly across engineering, product, and customer success functions.

We’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.