Senior AI Engineer (LLMs & Agentic AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior AI Engineer (LLMs & Agentic AI): Building and optimizing production-grade LLM applications and agentic AI systems with an accent on tool calling, MCP servers, and multi-step orchestration. Focus on designing intent classification, prompt versioning, and developing evaluation frameworks to validate model quality.
Location: Remote, must be based in Bogotá, Colombia
Company
AI-native organization focused on designing, building, and scaling meaningful AI-powered solutions that create real business impact.
What you will do
- Build and maintain MCP servers, tool definitions, and context management capabilities.
- Design and implement intent evaluation, classification, and routing workflows.
- Integrate Anthropic and OpenAI models into production environments.
- Manage prompt versioning, fallback strategies, and LLM performance optimization.
- Develop and maintain evaluation frameworks to validate model quality and production performance.
- Collaborate with software engineers and AI specialists to deliver production-ready AI solutions.
Requirements
- Senior-level experience building production AI applications with Python and LLM technologies.
- Experience designing and deploying conversational or agentic AI solutions.
- Strong proficiency in SQL and experience working with cloud data warehouses.
- Expertise in prompt engineering, LLM integrations, and evaluation methodologies.
- Professional English proficiency.
- Availability to work remotely with overlapping business hours in Colombia.
Nice to have
- Experience deploying, fine-tuning, and evaluating open-source models using Hugging Face.
- Knowledge of GPU acceleration and inference optimization.
- Experience implementing MLOps practices, including CI/CD and observability.
- Experience with vector databases and Retrieval-Augmented Generation (RAG).
- AWS certification.
Culture & Benefits
- High-performance culture grounded in transparency, respect, and efficient communication.
- Opportunity to work in an AI-native organization leading transformation at scale.
- Collaborative environment emphasizing ownership and fast learning.
- Remote-friendly work arrangement.
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