AI Engineer

This is a fully remote position, open to applicants in Colombia, +1 more country.

📋 Description

• Create and implement production-ready GenAI solutions, such as RAG systems, intelligent assistants, and agentic workflows.

• Develop AI agent behaviors, including tool utilization, context management, memory handling, routing, error management, and oversight by humans.

• Integrate LLMs, APIs, enterprise applications, and data sources while ensuring a balance between performance, latency, and cost.

• Construct evaluation frameworks, automated tests, and quality control measures to assess AI reliability and identify regressions.

• Oversee, diagnose, and consistently enhance AI capabilities in a production environment.

• Document reusable engineering patterns and empower client teams to maintain and expand deployed solutions.

• Work in collaboration with Software Engineers, Data Engineers, Architects, and Governance specialists.

⛳️ Requirements

• Practical experience in designing, developing, and deploying production-ready GenAI and LLM-based solutions.

• Demonstrated expertise in RAG architectures, AI agents, and multi-step intelligent workflows.

• Experience in evaluating, monitoring, and optimizing AI systems for reliability, performance, and cost-efficiency.

• Strong background in software engineering, including API development, testing, and enterprise integrations.

• Proficient in Python programming and software development fundamentals.

• Knowledge of LLM integration, prompt engineering, embeddings, retrieval, and grounding techniques.

• Familiarity with AI agent orchestration, tool calling, context management, memory, and human-in-the-loop workflows.

• Experience with LLM evaluation, automated testing, observability, and monitoring in production.

• Familiarity with cloud platforms (Azure, AWS, or GCP), CI/CD, and LLMOps/MLOps practices.

• Experience with LangGraph, LangChain, LlamaIndex, or Semantic Kernel is a plus.

• Understanding of multi-agent systems, multimodal AI, fine-tuning, or open-source models is advantageous.

• Experience in integrating AI with CRM, ERP, MCP, or enterprise automation platforms is beneficial.

• Consulting experience or exposure to regulated industries is a plus.

🏝️ Benefits

• International and multicultural projects.

• Continuous learning and professional development.

• Career growth and internal mobility opportunities.

• A collaborative, innovative, and entrepreneurial culture.

• Local benefits and working arrangements will be confirmed before publication.