Machine Learning Engineer - AI Agent Development

Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Develop and deploy AI agents using LLMs, agent orchestration, and workflow automation. Collaborate with cross-functional teams to deliver end-to-end solutions. Strong analytical and communication skills required.

Key Highlights
Develop and deploy LLM-powered AI agents and multi-agent workflows
Integrate agents with APIs, databases, and production systems
Monitor performance, implement improvements, and optimize agent behavior
Technical Skills Required
Python LangChain LlamaIndex vector databases embeddings REST APIs Docker Kubernetes
Benefits & Perks
€300 per day
Fully remote work
Long-term B2B contract

Job 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.


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