Position: Senior Full-Stack Engineer (AI Platform)About UsWe 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 DescriptionWe 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.ResponsibilitiesBackend & PlatformDesign, build, and maintain scalable backend services in PythonDevelop and evolve RESTful and WebSocket APIs supporting AI workflows and enterprise use casesBuild and maintain AI orchestration layers (RAG pipelines, agent systems, retrieval modules)Integrate multiple data sources: vector databases, structured/tabular data, files, and web searchOwn backend architecture decisions with a strong focus on performance, security, and reliabilityFrontend & User ExperienceBuild and iterate on production React interfaces using Next.js and TypeScriptTranslate complex AI capabilities into clean, usable UI patterns — from research dashboards to interactive data viewsImplement real-time features such as streaming responses, live status indicators, and dynamic content updatesEnsure frontend performance, accessibility, and responsiveness across devicesCross-CuttingCollaborate closely with AI/ML, Design, and Product teams to ship features end-to-endImplement observability, monitoring, logging, and automated testing across the stackDebug and trace issues from the UI through the API layer to backend servicesParticipate in code reviews and help raise the overall engineering barRequirements5+ years of professional engineering experience shipping production softwareStrong proficiency in Python with experience building backend services (FastAPI or similar)Strong proficiency in React with experience in Next.js and TypeScriptSolid understanding of API design, state management, and component architectureHands-on experience with AWS (e.g. Lambda, API Gateway, S3, DynamoDB)Experience with relational and non-relational databasesComfort working across the full stack — you don't need to be told where the problem isKnowledge of CI/CD pipelines and production deployment workflowsStrong communication skills and ability to work in a distributed teamNice-to-HavesExperience with LLMs, RAG architectures, or AI agent systemsFamiliarity with vector databases and semantic search (e.g. OpenSearch)Experience with real-time interfaces (WebSockets, streaming, SSE)Background in enterprise SaaS platformsExperience with Vercel for frontend hosting and deploymentKnowledge 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 systemsWhat We OfferWork on cutting-edge AI systems used by enterprise customersHigh-impact role with ownership across the full stackFlexible remote work (Worldwide)Direct collaboration with experienced engineers and foundersFast-paced environment with real production challengesStrong influence on technical and product decisionsLocation Remote (Worldwide)Hiring Model ContractorHow 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.