Senior AI Software Engineer

Aderis is building the next generation of enterprise software: an AI Native Finance ERP system designed from the ground up to leverage the power of artificial intelligence. We're not retrofitting AI into legacy systems—we're reimagining what enterprise software can be when AI is at its core.

We're already live with our first customers and preparing for our official launch in May 2026
. Based near Zurich, Switzerland, we prefer hybrid work but are open to fully remote arrangements for the right candidate. This is a unique opportunity to join a fast-moving team at a pivotal moment—shaping the product, the technology stack, and the future of enterprise AI.

As a Senior AI Engineer, you'll be at the forefront of designing and implementing the AI systems that power Aderis. You'll work across the full AI stack—from prompt engineering and RAG pipelines to fine-tuning small language models and orchestrating multi-agent systems. This role requires both deep technical expertise and the ability to make pragmatic decisions in a fast-paced startup environment.

• Design and build multi-agent systems with robust orchestration patterns
• Implement tool calling, agent memory, guardrails, and failure recovery strategies
• Build and optimize RAG pipelines with vector databases and semantic search
• Fine-tune small language models for domain-specific tasks
• Work with our Finance specialists on optimising prompts and creating the best results for our customers
• Own the full lifecycle from experimentation to production deployment

• 5+ years of software engineering experience, with 2+ years focused on AI/ML
• Strong proficiency in Python and Type Script/Node.js
• Hands-on experience with LLM APIs (Anthropic, Mistral, Google Vertex AI)
• Experience building production AI systems with proper guardrails and error handling
• Solid understanding of prompt engineering, embeddings, and semantic search

• Multi-Agent Systems:
  Agent orchestration, tool/function calling, memory management, output validation
• LLM & RAG:
  Vector databases, embedding models, caching, rate limiting, cost optimization
• Document Processing: PDF extraction, OCR, table parsing, entity extraction, document routing
• Infrastructure:
  Cloud platforms (GCP or AWS), Docker, CI/CD, Infrastructure as Code

• Experience with Pydantic (models, validators, schema generation)
• FastAPI or Nest.js experience
• Kaggle competitions or published ML research
• GCP or AWS experience
• Background in ERP systems or enterprise software

• Ground-floor opportunity:
  Shape the architecture and culture of a company from day one
• Real impact:
  Your code will be in production with paying customers from the start
• Cutting-edge tech:
  Work with the latest AI tools and techniques—no legacy constraints