· 4+ years in Software Engineering, including experience with LLMs, Generative AI, or Agentic AI.

· Strong Python skills; experience with TypeScript and/or Go.

· Backend development and API integration (REST, gRPC).

· Experience with OpenAI, Anthropic, Gemini, or similar LLM platforms.

· Knowledge of MCP, tool/function calling, AI gateways, and agent frameworks (LangChain, LangGraph, LlamaIndex, CrewAI, Semantic Kernel).

· Experience with RAG architectures, vector databases, and cloud technologies (AWS/GCP, Kubernetes, Terraform, Kafka).

· Strong problem-solving and adaptability in fast-paced environments.

· Excellent communication and collaboration skills with technical and non-technical stakeholders.

· Experience with enterprise AI platforms and agent-based automation.

· Knowledge of AI model optimization and fine-tuning.

· Open-source AI/ML contributions and vendor management experience.

· Design, develop, and maintain Agentic AI and LLM-based solutions.

· Build AI architectures, including agent orchestration, RAG pipelines, and AI integrations.

· Lead AI initiatives from PoC through production deployment and optimization.

· Ensure reliability, performance, monitoring, governance, and security of AI systems.

· Collaborate with business, engineering, and AI vendors to deliver enterprise AI solutions.

· Evaluate emerging AI technologies and continuously improve AI capabilities.

· English: Advanced

· Not specified

· Hybrid,

· Colombia, México.