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Talent Delivery Lead @Intellias | Global recruitment (USA & LATAM hiring) At Intellias, we're always on the lookout for exceptional talent to join our team in Colombia. Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow If you're enthusiastic about contributing your skills and experience to our organization, we invite you to submit your CV for this position. What we offer you in Colombia Indefinite contract with Intellias Colombia SAS, payment in COP Health, life, funerary and pet insurance for the employee Workation up to 90 day outside Colombia Training and certifications 100% work from home + internet subsidy 100% English environment Requirements Proven experience in developing and deploying generative AI or LLM-based applications Participate on the architectural design of conversational solutions. Strong prompt proficiency with LLMs such as OpenAI, Azure OpenAI, Claude, or LLaMA Hands‑on experience with LangChain, LangGraph. Other frameworks are also valued. Solid understanding of semantic search, RAG pipelines, and vector embeddings AWS experience with ECR, ECS/Fargate and dockerization. Design/Deploy MCP servers. Background in API/microservices development Ability to work with enterprise‑grade architectures and process automation tools English: B2 level (ability to read and write technical documentation and attend meetings with stakeholders) Will be a plus Experience with n8n, Semantic Kernel, Copilot Studio, Experience with MLOps, model optimization, and cloud deployments (especially AWS) Previous experience with digital marketing life cycle. Expertise using Claude Code, GitHub copilot and similar tools as part of their daily tooling, working routines Responsibilities Lead the development of LLM-based intelligent agents Prepare system architecture, agree system design with stakeholders Contextualization of the company data. Implement Retrieval-Augmented Generation (RAG) systems Integrate LLMs with varius different data sources Leverage tools like LangChain, LangGraph, Semantic Kernel, and Copilot Studio to build semantic workflows Automate internal processes using n8n Collaborate with cross‑functional teams including DevOps, backend, and business stakeholders Contribute to best practices for AI deployment, prompt engineering, and model evaluation Location: Bogotá, D.C., Capital District, Colombia #J-18808-Ljbffr
