Machine Learning Engineer (AI Core Team)

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Manychat

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AI Infrastructure

Agentic Frameworks

Tech Stack

About the Role

Manychat's AI Core team develops machine learning and large language model solutions deployed across millions of daily conversations.

Key Responsibilities:

  • Design and deliver end-to-end ML/LLM solutions including prototyping, evaluation, and production deployment
  • Build and iterate on AI agents using RAG, vector search, memory systems, and tool integration
  • Select appropriate technical approaches (classical ML, LLMs, RAG pipelines, or agent architectures)
  • Partner with backend teams on productionization with monitoring and scalability

Required Qualifications:

  • Solid understanding of ML algorithms, metrics, search, RAG, and agent design
  • Experience with LlamaIndex, LangChain, or similar frameworks
  • PyTorch/TensorFlow tuning experience
  • LLM evaluation and benchmarking knowledge
  • 3+ years Python in production environments
  • Backend service development (FastAPI, Docker, Pydantic, PostgreSQL)
  • Cloud and monitoring familiarity preferred
  • Fluent English communication
  • Independent work with fast iteration cycles
  • Product mindset in dynamic environments

Benefits: Remote flexibility, family health insurance, professional development budget, hybrid work arrangements, team activities.

Location: Amsterdam, Netherlands (with Barcelona office option, hybrid)

Last updated: February 17, 2026

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