Senior Backend Engineer, Chat & AI Platform

Stellenbeschreibung:

Overview

Defining how AI and finance work together — securely, intelligently, and at scale. We at Unique AI are building a highly secure generative AI platform, tailored for the financial sector. Utilizing GPT technology, we aim to revolutionize how enterprises manage their workload by offering automated solutions. Our mission is to simplify and optimize business interactions, negotiations, and partnerships in the finance sector. We offer an inclusive environment at Unique and we encourage all genders and all neuro-diversities to apply.

We're building an enterprise AI platform where chat is the primary product surface. It is where users interact with AI agents, search across knowledge, collaborate in shared spaces, and trigger complex workflows through natural language.

Job Requirements

5+ years of backend engineering experience with strong expertise in TypeScript , Node.js , and NestJS
Strong system design skills : you can reason about distributed systems, define clean service boundaries, and make pragmatic technical trade-offs
Deep database knowledge : schema design, query optimization, and migration strategies in PostgreSQL ; Prisma experience is a plus
Experience building reliable production APIs and backend services with real operational constraints
Security awareness : comfortable with multi-tenant data isolation, authentication and authorization patterns, and auditability in enterprise software

Job Responsibilities

Core backend systems: Design, implement, and optimize multi-tenant NestJS/Prisma/PostgreSQL services and APIs powering spaces, assistants, knowledge access, and conversational workflows.
AI platform capabilities: Enhance the LLM orchestration layer (streaming, tool calling, multi-model routing), integrate Python/MCP tools, and drive lower latency, higher reliability, and better cost efficiency.
Async and real-time architecture: Build event-driven workflows with RabbitMQ for reliable background and inter-service messaging, and maintain a responsive real-time chat delivery pipeline.
Platform ownership: Elevate observability (metrics, structured logs, dashboards, alerts), own K8s/Helm production delivery with ArgoCD GitOps, and contribute shared backend platform packages.
Engineering culture: Ensure quality with robust unit/integration tests, lead in reviews and architecture patterns, and mentor peers to raise backend reliability and maintainability.