Software Engineer (Full Stack / GenAI Applications)

United States Digital Space LLC; Singapore; On-site; SGD 70,000 - 100,000; Full time

Benefits offered by this job

Flexible work practices

40 hours of self-development annually

Job summary

United States Digital Space LLC in Singapore seeks a Software Engineer to lead the development of its MagicAssist platform. This role involves backend and frontend development, focusing on AI integration and analytics.

The ideal candidate has extensive experience in Python, FastAPI, React, and Next.js. We offer flexible work practices and opportunities for professional development.

Qualifications

• 5+ years of software engineering experience with a strong track record in both frontend and backend development.
• Advanced knowledge of React and Next.js, including state management for persistent streaming.
• Deep expertise in Python and FastAPI, focusing on asynchronous programming and API integrations.

Responsibilities

• Lead the end-to-end development of the MagicAssist platform, focusing on user management and analytic dashboards.
• Build the UI and business logic for an internal AI Marketplace, including Role-Based Access Control.
• Collaborate with the GenAI team to design dynamic interfaces for AI agents.

Skills

Python

FastAPI

React

Next.js

PostgreSQL

AWS services (S3, IAM, Lambda, DynamoDB)

Tools

Vercel AI SDK

data visualization libraries (Recharts, D3.js, Chart.js)

Job description

About the Role

In this role, you will take over an existing high‑performance Python/FastAPI backend and a polished Next.js frontend, ensuring seamless integration between the two. You will play a pivotal role in the platform's Phase 2 evolution: architecting the AI Marketplace, developing dynamic “Generative UIs” for autonomous agents, and laying out the groundwork for an upcoming data platform side‑project.

Key Responsibilities

• Core Platform & Module Development: Lead the end‑to‑end development of the MagicAssist platform. Design and implement robust User Management modules (handling session logic, SSO/SAML, concurrent login protection) and Analytic Dashboards from the ground up.
• Marketplace Architecture & RBAC: Build out the UI and business logic for the internal AI Marketplace. Implement complex Role‑Based Access Control (RBAC) and tenant isolation to allow users to securely publish, share, and manage access to custom document chatbots, datasets, and agentic skills in compliance with corporate policies.
• Agent Integration & Generative UI: Collaborate with the GenAI team to integrate “Magic Agents.” Design dynamic component‑driven interfaces that render bespoke frontend widgets based on the specific skills, code interpreters, or third‑party APIs the AI agent chooses to invoke.
• Analytics & Data Visualization: Track token usage metrics (input/output across different LLMs), bot performance, user engagement, and other performance measures. Build rich data visualization components to support platform admins and lay the frontend groundwork for upcoming data platform and pipeline integration.
• Database & State Management: Design and maintain complex relational database schemas in PostgreSQL to support multi‑version Bot/Agent workflows, unified permissions, and sliding‑window chat histories.
• Security & Compliance: Maintain zero‑trust architecture. Ensure robust input sanitization and integrate AWS KMS for secure JWT handling, aligning with stringent government data security standards.

Qualifications

• Experience: 5+ years of software engineering experience with a strong, proven track record in both complex frontend and backend development.
• Frontend Mastery: Advanced knowledge of React and Next.js (App Router, Server Components). Mastery of state management for persistent streaming. Experience with the Vercel AI SDK or building Generative UIs is a massive plus.
• Backend Mastery: Deep expertise in Python and FastAPI (asynchronous programming, middleware, background tasks, API integrations).
• Database Expertise: Mandatory proficiency in Relational Database Management Systems (PostgreSQL) and complex schema design.
• AWS Familiarity: Practical experience with AWS services (S3, IAM, Lambda, DynamoDB).

Nice‑to‑Have (Bonus Points)

• Data Analysis Background: Previous experience as a Data Analyst or building internal data/analytics platforms is a strong advantage for upcoming projects.
• GenAI Ecosystem: Hands‑on experience with AWS Bedrock (Converse API, Knowledge Bases) or integrating LLM APIs.
• UI/UX & Visualization: Experience with data visualization libraries (e.g., Recharts, D3.js, Chart.js) is required for building the analytics dashboards.
• Regulated Environments: Prior experience building internal enterprise tools with high security requirements (e.g., IM8 policies in the Singapore government sector).

Benefits

We offer flexible work practices and 40 hours of self‑development every year with a huge selection of learning opportunities to choose from.

EEO Statement

We encourage applications from all qualified candidates regardless of gender identity, ethnicity, sexual orientation, religion, ability, intersex status, or age. All employment is decided solely on qualifications and merit.