Position: Senior Full-Stack Engineer (AI Platform)
About Us
We are a fast-growing AI startup transforming how professionals interact with complex information. We build enterprise-grade AI productivity platforms used by researchers, analysts, and engineers at large companies and rapidly scaling teams.
Our platform powers advanced AI workflows such as Retrieval-Augmented Generation (RAG), multi-agent systems, document intelligence, and structured data search — with a strong focus on reliability, security, and scalability in production environments.
Job Description
We are looking for a Senior Full-Stack Engineer to help design, build, and scale both the backend systems and frontend experiences of our AI platform. You will work across the entire stack — from Python-based AI orchestration services and data pipelines to the React-based interfaces that bring those capabilities to enterprise users every day.
This role is ideal for engineers who think end-to-end: you care about clean API design and reliable backend architecture, but you're equally motivated by building polished, responsive interfaces that make complex AI workflows feel intuitive.
Responsibilities
Backend & Platform
Design, build, and maintain scalable backend services in Python
Develop and evolve RESTful and Web Socket APIs supporting AI workflows and enterprise use cases
Build and maintain AI orchestration layers (RAG pipelines, agent systems, retrieval modules)
Integrate multiple data sources: vector databases, structured/tabular data, files, and web search
Own backend architecture decisions with a strong focus on performance, security, and reliability Frontend & User Experience
Build and iterate on production React interfaces using Next.js and Type Script
Translate complex AI capabilities into clean, usable UI patterns — from research dashboards to interactive data views
Implement real-time features such as streaming responses, live status indicators, and dynamic content updates
Ensure frontend performance, accessibility, and responsiveness across devices Cross-Cutting
Collaborate closely with AI/ML, Design, and Product teams to ship features end-to-end
Implement observability, monitoring, logging, and automated testing across the stack
Debug and trace issues from the UI through the API layer to backend services
Participate in code reviews and help raise the overall engineering bar Requirements
5+ years of professional engineering experience shipping production software
Strong proficiency in Python with experience building backend services (Fast API or similar)
Strong proficiency in React with experience in Next.js and Type Script
Solid understanding of API design, state management, and component architecture
Hands-on experience with AWS (e.g. Lambda, API Gateway, S3, Dynamo DB)
Experience with relational and non-relational databases
Comfort working across the full stack — you don't need to be told where the problem is
Knowledge of CI/CD pipelines and production deployment workflows
Strong communication skills and ability to work in a distributed team Nice-to-Haves
Experience with LLMs, RAG architectures, or AI agent systems
Familiarity with vector databases and semantic search (e.g. Open Search)
Experience with real-time interfaces (Web Sockets, streaming, SSE)
Background in enterprise Saa S platforms
Experience with Vercel for frontend hosting and deployment
Knowledge of authentication systems (e.g. Clerk, Auth0)
Knowledge of security best practices and compliance (SOC 2 is a plus)
Experience working with high-scale or high-availability systems What We Offer
Work on cutting-edge AI systems used by enterprise customers
High-impact role with ownership across the full stack
Flexible remote work (Worldwide)
Direct collaboration with experienced engineers and founders
Fast-paced environment with real production challenges
Strong influence on technical and product decisions Location Remote (Worldwide)
Hiring Model Contractor
How to Apply Please reply here with your CV or portfolio. If you enjoy building serious full-stack systems for real AI products — from the Python services that power intelligent workflows to the React interfaces that put them in users' hands — we'd love to hear from you.