{"schemaVersion":"jobsearcher.job.v1","id":"2ce62ebdaf1c07cd3a2da16e","url":"https://jobsearcher.com/jobs/2ce62ebdaf1c07cd3a2da16e","canonicalUrl":"https://jobsearcher.com/jobs/2ce62ebdaf1c07cd3a2da16e","title":"Full Stack Agentic Developer","description":"Overview\nIn this senior full‑stack role you will build and evolve a web-based AI platform that translates domain expertise into scalable, validated AI-driven workflows. You’ll bridge the UI, APIs, and the agent layer to enable transparent, inspectable AI work in confidential, high-stakes environments. You will own product experiences from user intent to agent action, focusing on reliability, usability, and real-time feedback. Your work shapes how consultants and domain experts collaborate with agents to produce high-quality analytical deliverables.\n\nCompensation / Benefitstraining (100 hours annually)comprehensive benefits packagewellness programsimmigration supportpaid time offflexible work arrangements\nResponsibilitiesDevelop and evolve the React web application across core surfaces (authentication, session setup, workspace navigation, file review, streaming agent activity, results review, admin)Create reusable components for complex, stateful workflows and maintainable codeBuild Express/TypeScript API endpoints for session orchestration, file management, workspace operations, usage tracking, and new capabilitiesIntegrate frontend with backend services for authentication, LLM routing, usage tracking, agent orchestration, cloud storage, and PostgreSQL dataTranslate backend and agent states into intuitive UI patterns (empty, progress, error, review, resumable workflows)Implement real-time streaming interface between backend, agent runtime, and UI using server-sent eventsRender incremental agent output (tokens, tool cards, plans, progress, costs, file changes, final states)Manage stream lifecycles, retries, cancellations, error recovery, and user feedback during long-running workflowsDefine event contracts and UX patterns to communicate agent behavior and status to usersDesign runtime tools and agent schemas to support safe, expandable tool usageDevelop multi-turn agent loop, tool execution, and isolated container-based execution environmentsCreate reusable patterns for adding tools while maintaining runtime reliability\nKey requirementsStrong TypeScript skills across frontend and backendExperience with React, Vite, Node.js/Express APIsExperience building or consuming real-time interfaces (SSE, WebSockets)Experience with LLM-powered agentic systems and tool callingPrompt engineering for structured, multi-step workflowsComfort using Python for agent tools and data processingUnderstanding of browser authentication, JWT, CORS, and security boundariesFamiliarity with PostgreSQL and API-driven designExperience with Docker or Linux-based execution environmentsStrong product judgment, debugging, and documentation skillsstrong product judgmentexcellent problem-solving and debugging instinctsclear technical communication and documentationTypeScriptReactVite","company":"Cra International","rawCompany":"cra international","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-09-15T04:54:47.398Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Full Stack Agentic Developer","description":"Overview\nIn this senior full‑stack role you will build and evolve a web-based AI platform that translates domain expertise into scalable, validated AI-driven workflows. You’ll bridge the UI, APIs, and the agent layer to enable transparent, inspectable AI work in confidential, high-stakes environments. You will own product experiences from user intent to agent action, focusing on reliability, usability, and real-time feedback. Your work shapes how consultants and domain experts collaborate with agents to produce high-quality analytical deliverables.\n\nCompensation / Benefitstraining (100 hours annually)comprehensive benefits packagewellness programsimmigration supportpaid time offflexible work arrangements\nResponsibilitiesDevelop and evolve the React web application across core surfaces (authentication, session setup, workspace navigation, file review, streaming agent activity, results review, admin)Create reusable components for complex, stateful workflows and maintainable codeBuild Express/TypeScript API endpoints for session orchestration, file management, workspace operations, usage tracking, and new capabilitiesIntegrate frontend with backend services for authentication, LLM routing, usage tracking, agent orchestration, cloud storage, and PostgreSQL dataTranslate backend and agent states into intuitive UI patterns (empty, progress, error, review, resumable workflows)Implement real-time streaming interface between backend, agent runtime, and UI using server-sent eventsRender incremental agent output (tokens, tool cards, plans, progress, costs, file changes, final states)Manage stream lifecycles, retries, cancellations, error recovery, and user feedback during long-running workflowsDefine event contracts and UX patterns to communicate agent behavior and status to usersDesign runtime tools and agent schemas to support safe, expandable tool usageDevelop multi-turn agent loop, tool execution, and isolated container-based execution environmentsCreate reusable patterns for adding tools while maintaining runtime reliability\nKey requirementsStrong TypeScript skills across frontend and backendExperience with React, Vite, Node.js/Express APIsExperience building or consuming real-time interfaces (SSE, WebSockets)Experience with LLM-powered agentic systems and tool callingPrompt engineering for structured, multi-step workflowsComfort using Python for agent tools and data processingUnderstanding of browser authentication, JWT, CORS, and security boundariesFamiliarity with PostgreSQL and API-driven designExperience with Docker or Linux-based execution environmentsStrong product judgment, debugging, and documentation skillsstrong product judgmentexcellent problem-solving and debugging instinctsclear technical communication and documentationTypeScriptReactVite","datePosted":"2026-09-15T04:54:47.398Z","dateModified":"2026-09-15T04:54:47.398Z","hiringOrganization":{"@type":"Organization","name":"Cra International","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2ce62ebdaf1c07cd3a2da16e"},"url":"https://jobsearcher.com/jobs/2ce62ebdaf1c07cd3a2da16e"}}