Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Machine Learning Engineer AI Agents | €300 Per Day | Fully Remote | Long-Term B2B Contract
About the Role:
We’re looking for an AI Agent Engineer to help build and scale intelligent autonomous systems. You will be building AI Agents. You’ll work on high-impact projects involving LLMs, agent orchestration, and workflow automation, contributing directly to real-world AI-powered products.
Key Responsibilities:
- Develop and deploy LLM-powered AI agents and multi-agent workflows.
- Build retrieval, reasoning, and tool-execution pipelines for autonomous task completion.
- Integrate agents with APIs, databases, and production systems.
- Monitor performance, implement improvements, and optimize agent behavior.
- Collaborate with data engineering, backend, and product teams to deliver end-to-end solutions.
Required Skills & Experience:
- Hands-on experience building AI agents or LLM-driven automation systems.
- Strong Python skills; experience with frameworks like LangChain, LlamaIndex, or similar.
- Familiarity with LLM orchestration, prompt engineering, and retrieval systems.
- Knowledge of vector databases and embeddings.
- Experience deploying AI systems to production.
- Strong analytical and communication skills; fluent in English.
Preferred Qualifications:
- Experience with multi-agent systems, fine-tuning, or RAG optimization.
- Cloud experience (Azure preferred).
- Familiarity with REST APIs, Docker, or Kubernetes.
Please apply as interview stages are commencing immediately.
Key Skills
Ranked by relevanceReady to apply?
Join Signify Technology and take your career to the next level!
Application takes less than 5 minutes

