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Frontend Developer Early Career 0 3 Yrs

🌐 Remote💼 Full-time🗓 2026-07-27

Core

Building intuitive interfaces for an AI-native financial research platform, including AI chat, report editors, and research dashboards.

Role type

Frontend Developer (Early Career)

Builds

AI chat interfaces, report editor UI, research dashboards, and automation workflow UIs.

Domain

Financial research AI / SaaS

Deliverable

product features

Required skills

HTML, CSS, JavaScript, React (hooks, lifecycle, state management), REST APIs, debugging, problem-solving, AI coding tools usage.

Preferred skills

React 18+, Vite, Redux Toolkit, Tailwind CSS, Socket.io-client, SSE/chunked responses, Node.js/Express, Prompt engineering, Git/GitHub.

Technologies

React, Vite, Redux Toolkit, Tailwind CSS, Socket.io-client, Nginx, AWS S3, AWS SES, AWS App Runner, Node.js, Express, Anthropic, OpenAI, Cohere.

Responsibilities

Building and iterating on core product UIs, translating backend intelligence into responsive interfaces, collaborating with founding team on UX/architecture, integrating real-time data and streaming LLM responses.

Seniority

Junior, early-career (0-3 years)

Rewrite
## About JcurveIQ We're building an AI-native financial research platform — think institutional-grade intelligence for the modern investor. Agentic workflows, real-time document analysis, automated report generation, and portfolio intelligence, all powered by frontier LLMs. We're early, we're moving fast, and every line of code ships to real users. This is not a "maintain the CRUD app" role. You'll be building interfaces that make AI agents feel intuitive, data-heavy dashboards feel effortless, and complex financial workflows feel simple. ## What You'll Work On - Building and iterating on the core product: AI chat, report editor, research dashboard, and automation workflow UI - Translating complex backend intelligence (agent outputs, live document streams, financial data) into clean, responsive interfaces - Collaborating directly with the founding team — your opinions on UX and architecture will be heard and acted on - Integrating real-time data over WebSockets, handling streaming LLM responses, and building reactive state flows - Shipping fast, breaking things occasionally, and fixing them faster ## Required Skills - Solid fundamentals in HTML, CSS, and JavaScript — you understand why things work, not just how - Familiarity with React (hooks, component lifecycle, state management patterns) - Ability to read and reason about code you didn't write — debugging is a first-class skill here - Comfort with REST APIs: fetch, async/await, error handling, loading states - Strong problem-solving instinct — you Google well, read docs, and don't wait for someone to unblock you - Willingness to use AI coding tools (Cursor, Copilot, Claude Code, v0, etc.) as a force multiplier — we actively encourage this - Self-directed work ethic suited for async remote collaboration across time zones - Communication that is direct, concise, and written — walls of text don't scale in fast teams - Ability to hold ambiguity without freezing — requirements evolve, and that's a feature not a bug ## Preferred / Nice-to-Have Skills Technologies we actively use in development and deployment: - Framework: React 18+, Vite - State: Redux Toolkit, Redux Thunk - Styling: Tailwind CSS - Real-time: Socket.io-client (WebSocket) - API layer: REST, streaming responses (SSE / chunked) - Infra / Deploy: Nginx, AWS S3, AWS SES, AWS App Runner - Backend awareness: Node.js / Express (helpful for API contract understanding) - AI tooling: Prompt engineering basics, LLM output handling, agentic UX patterns - Version control: Git, GitHub (PRs, branching, rebasing) ## What You'll Gain - Hands-on product ownership — you'll see your features live in front of real users, not buried in a backlog - Deep exposure to AI engineering in production — agentic pipelines, multi-model orchestration (Anthropic, OpenAI, Cohere), vector search, RAG — from the frontend side where it has to actually make sense to a human - Experience in a high-demand vertical — financial research AI is a massive TAM with remarkably thin competition at the product quality level we're targeting - Early-team context — you'll understand the full stack, the business, and the decisions behind the architecture, not just a ticket description - A real portfolio project — not a tutorial app, not a clone, but a live AI product in a regulated, complex domain that you helped build from early days - Speed of learning — the compressed decision-making of an early startup means you'll accumulate more useful experience here than most engineers get in years at a larger company ## Logistics - Type: Full-time - Location: Remote (flexible hours — async-first, overlap expected for syncs) - Experience: 0–3 years (strong final-year students with a portfolio also welcome) - Visa / relocation: Not applicable — fully remote ## How to Apply Send a short note (not a cover letter template) on: what you've built, what you'd want to build here, and one technical decision you've made that you're proud of — along with any portfolio, GitHub, or project links.
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