Fullstack Engineer (GenAI Applications) (Mid Level Consultant) - #1160690

Fulltstack Engineer (GenAI Applications)

About the Role:
We are a growing technology team within the government sector seeking a seasoned Full Stack Engineer to maintain, scale, and expand our enterprise-grade Generative AI and agent orchestration platform.

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 our AI Marketplace, developing dynamic "Generative UIs" for autonomous agents, and laying out the groundwork for an upcoming data platform side-project.

If you are a product-minded builder who loves crafting flawless user experiences on top of complex AI backends and enjoys using AI-assisted tools ("vibe coding") to accelerate delivery, this is the role for you.

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 our 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 the corporate policies.

· Agent Integration & Generative UI: Collaborate with the GenAI team to integrate "Magic Agents." Design dynamic component-driven interfaces (Generative UI) that render bespoke frontend widgets based on the specific "skills," code interpreters, or 3rd-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).