Senior Machine Learning Engineer – LLMs, Agentic Workflows

Job not on LinkedIn

🔥 0 minutes ago

💃 Latin America – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 15%

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📋 Description

• Architect agent task decomposition into actionable sub-tasks • Develop Plan-and-Execute and ReAct patterns • Design short-term memory systems for long-running tasks • Create interfaces between LLMs and external software, databases, and APIs • Standardize function calling, legacy-system interaction, and sandboxed Python execution • Implement error handling and self-correction • Build evaluation frameworks measuring trajectory success, efficiency, and safety • Set up monitoring to visualize agent processes and diagnose workflow failures • Implement guardrails and Human-in-the-Loop checkpoints for high-stakes decisions • Own intelligent automation systems end-to-end from prototyping through production deployment

🎯 Requirements

• 5+ years of hands-on experience developing and deploying machine learning models in production environments • Strong software engineering fundamentals, including data structures, algorithms, system design, OOP, and API design & integration • Proven experience designing and implementing agentic architectures, including multi-agent workflows, tool-calling, state management, and human-in-the-loop patterns • Expertise in integrating Generative AI frameworks and APIs such as LangChain, LangGraph, OpenAI, and Claude into production-grade applications • Strong understanding of LLM fundamentals, systematic prompt engineering (chain-of-thought, few-shot), and debugging tools like LangSmith or Arize Phoenix • Experience with vector databases such as Pinecone, Milvus, and Qdrant for retrieval-augmented generation (RAG) and long-term agent memory • Experience with cloud platforms such as AWS, GCP, or Azure for deploying AI workloads

🏖️ Benefits

• Ownership through equity participation • Annual company retreat • Education bonus for continuous learning • Company-wide winter break • Paid time off • Optional in-person events and meetups • Tailored career roadmaps • High-performance culture

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