Senior Full-Stack Engineer (AI-Enhanced SaaS)

3B Scientific GmbH
12 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

JavaScript
API
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Azure
C Sharp (Programming Language)
Software as a Service
Cloud Computing
Continuous Integration
DevOps
Github
Python
Node.js
Object-Relational Mapping
Software Architecture
Role-Based Access Control
E2e Testing
Sharable Content Object Reference Model
Service-Oriented Architecture
TypeScript
WebSocket
WebRTC
Three.js
React
Large Language Models
Backend
Kubernetes
Front End Software Development
REST
Terraform
Webhooks
Software Usability
Docker
Microservices

Job description

  • Ship product end-to-end: Design, build, test, and operate features across the stack, from React UI to API to infrastructure.
  • Integrate intelligently: Orchestrate third-party APIs and services smoothly.
  • Build for scale and safety: Apply sound architecture, strong security, and thoughtful data models.
  • Lean into AI: Connect to and compose LLMs and multimodal models, design prompts, and evaluate outputs with guardrails.
  • Own quality: Champion testing, observability, and automated CI/CD so we ship with confidence.
  • Collaborate deeply: Work with product, design, and domain experts to translate nuanced requirements into simple, usable software.
  • Continuously improve: Leave the codebase, the docs, and the developer experience better than you found them., * Solid back-end experience (Node.js); familiarity with Python for AI integration is a plus.
  • Proficiency with software architecture patterns (SOA, microservices).
  • Confident integrating external APIs, webhooks, and third-party services.
  • Unit, integration, and E2E testing.
  • SaaS mechanics: subscriptions, licensing, payments/billing (bonus).
  • Security foundations: RBAC, least-privilege, auditability (bonus).

AI & ML integration

  • Connecting to LLM/AI APIs and composing them reliably.
  • Prompt design and evaluation for text, image, and multimodal tasks.
  • Understanding of multimodal patterns (speech, text, vision) and when to use them.
  • Exposure to orchestration frameworks (e.g. LangChain), agentic patterns, MCP etc are a bonus.

Cloud, infra & DevOps

  • Strong AWS experience (e.g., Lambda, ECS, S3, CloudFront).
  • Containers: Docker and Kubernetes for repeatable dev and scalable deploys.
  • CI/CD: GitHub Actions (or similar)
  • IaC with Terraform or CDK is a plus.

Data & analytics

  • Experience with product analytics and performance telemetry.
  • Experience building analytics pipelines/dashboards (nice to have)., * Frontend: React, TypeScript, JavaScript, MUI.
  • Backend: Node.js, TypeORM, REST.
  • AI: OpenAI/Anthropic. LangChain. RAG.
  • Infra: AWS (Lambda/ECS/S3/CloudFront), Docker, GitHub Actions, Terraform.

Requirements

Do you have experience in Unity?, Do you have a Master's degree?, We're looking for an experienced engineer who loves owning end-to-end solutions, someone who can move comfortably from product thinking to elegant UI, robust APIs, and cloud-native delivery.

If you thrive in a pragmatic, high-trust environment and want to push the boundaries of what teams can achieve with AI, you'll feel at home here., * Track record across the full lifecycle: discover design build test deploy operate.

  • Comfortable juggling multiple products/modules and collaborating in Agile teams.
  • Strong ownership, excellent communication, and a product-centric mindset., * C# for integrations or internal tools.
  • Unity or Three.js for 3D/avatars and richer interaction.
  • LLM fine-tuning, retrieval-augmented generation, or prompt optimization.
  • EdTech know-how (SCORM, LMS, LTI) or domain experience in healthcare/construction.
  • Voice & realtime: WebRTC/WebSocket; ASR/TTS (Whisper, Deepgram, Azure Cognitive Services, etc.).
  • Compliance fluency (e.g., GDPR, HIPAA) and working in regulated contexts.

Benefits & conditions

  • Competitive compensation with performance-linked reviews.
  • Flexible/hybrid work environment and supportive time-off policy.
  • Support for personal development & training.
  • Diverse, challenging and interesting projects and products to get your teeth into.

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