Ingeniero de IA
Core
Design and implement intelligent agents and assistants that provide contextualized, personalized, and scalable responses.
Role type
Generative AI Engineer (LLMs & Agents)
Builds
Intelligent agents, RAG pipelines, and backend APIs for enterprise solutions
Domain
Generative AI, Large Language Models (LLMs), and Enterprise Software
Deliverable
production ML models | product features
Required skills
Generative AI, Python, LLMs, RAG, LangChain, AI Agents, Vector Databases, Prompt Engineering, TypeScript, REST APIs, LLMOps
Preferred skills
Docker, Kubernetes, CI/CD, Cloud Platforms (Vertex AI, AWS, Azure, GCP), Agile methodologies, External API integrations, AI Security & Governance
Technologies
LangChain, Google ADK, Vercel AI SDK, Vector Databases, Foundation Models, MCP
Responsibilities
Design and implement intelligent agents; Analyze business requirements to define technical solutions; Design technical architectures for AI solutions; Implement RAG pipelines and integrate LLMs with vector databases; Develop backend APIs and services; Deploy and monitor solutions in production; Evaluate agent performance using metrics and Human-in-the-Loop; Optimize prompts and context strategies; Document technical architectures and decisions; Collaborate with multidisciplinary teams.
Seniority
Mid-Senior, hands-on IC