Senior AI Engineer - LLM and Agent Systems

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Source Meridian

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AI Infrastructure

Agentic Frameworks

Tech Stack

About the Role

Source Meridian - Senior AI Engineer - LLM and Agent Systems Medellin, Colombia / Quito, Ecuador | Permanent contract | Published February 20, 2026

Key Responsibilities:

  • Design agentic workflows using LangGraph and LangChain, including multi-step reasoning, tool usage, and human-in-the-loop patterns
  • Integrate LLMs (OpenAI, Anthropic, Google Vertex AI, open-source models) into backend services
  • Build RESTful APIs with FastAPI
  • Manage vector databases (Milvus) for retrieval-augmented generation (RAG)
  • Implement memory architectures (short-term and long-term)
  • Manage MongoDB for conversation history and agent checkpoints
  • Deploy services via Docker, Kubernetes, and CI/CD pipelines

Required Qualifications:

  • 3+ years Python experience
  • Proven expertise with LangChain and LangGraph (graph-based agent orchestration, state management, conditional edges, parallel execution)
  • LLM fundamentals understanding
  • Vector database and embedding model experience
  • REST API design/consumption knowledge
  • MongoDB proficiency
  • Conversational AI memory architecture understanding
  • Context engineering familiarity
  • English B2 or higher
  • Residency in Colombia or Ecuador required
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