Senior Full Stack Engineer

Location: Hybrid — 3 days/week onsite in McLean, VA

About Us

Rohirrim is pioneering the future of enterprise AI with Rohan, our patented, domain-aware generative AI platform. We help Fortune 1000 companies, aerospace and defense organizations, and government agencies automate complex processes like RFP creation and knowledge management.

We're a fast-growing, mission-driven team building cutting-edge AI products that reshape how enterprises work.

Role Overview

We are seeking a Senior Full Stack Engineer (50% backend / 50% frontend, or someone who is flexible with the split) to help design, build, and scale our generative AI-powered enterprise web applications. You'll play a key role in architecting services, ensuring performance and reliability, and contributing to frontend features that deliver great user experiences. This is a hands-on, senior-level role where you'll collaborate closely with product managers and UI/UX designers.

Responsibilities

• Architect, design, and build scalable backend systems with a focus on reliability, performance, and maintainability.
• Develop APIs and services in Nest.js/Node.js, integrating with databases, LLM providers, and external systems.
• Contribute to frontend development in Angular/TypeScript, ensuring seamless user experiences.
• Write efficient, maintainable SQL queries and design database schemas for application features.
• Collaborate with cross-functional teams to deliver secure and scalable AI-driven solutions.
• Ensure high code quality via testing, code reviews, and best practices.
• Participate in system design discussions and help set technical direction, including how AI/LLM capabilities are architected into the platform.

Qualifications

• 5+ years of professional experience as a Full Stack Engineer.
• Strong experience with TypeScript/JavaScript.
• Hands-on experience with Nest.js/Node.js.
• Hands-on experience with a JavaScript UI framework (Angular/React/Vue).
• Strong SQL skills (schema design, query optimization).
• Basic knowledge of Azure DevOps (pipelines, workflows).
• Hands-on experience integrating with LLM providers/APIs (e.g., OpenAI, Anthropic, Azure OpenAI) in a production application.
• Practical experience with prompt engineering and retrieval-augmented generation (RAG) architectures.