Senior AI Engineer (GenAI & Agentic Systems)

TL;DR

Senior AI Engineer (GenAI & Agentic Systems): Leading the design, development, and scaling of next-generation Agentic AI systems and GenAI applications with an accent on LLM capabilities and production-grade software. Focus on architecting multi-agent systems, defining RAG pipelines, and leading the development of scalable backend and cloud-native infrastructure on Google Cloud Platform (GCP).

Location: Colombia

Company

hirify.global is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world.

What you will do

• Lead the design and implementation of advanced agentic architectures, including multi-agent orchestration, tool usage, planning, memory management, and self-reflection patterns.
• Define and standardize RAG architectures, including retrieval strategies, context engineering, hybrid search, re-ranking, and optimization of latency, accuracy, and cost.
• Architect and oversee development of scalable, asynchronous backend systems and APIs using FastAPI.
• Lead the design and deployment of cloud-native AI solutions on GCP, ensuring scalability, resilience, and cost optimization.
• Provide technical leadership and mentorship to engineers, promoting best practices in AI/ML and software engineering.

Requirements

• 5+ years of software engineering experience, with 2–3+ years building and deploying production-grade AI/LLM systems.
• Expert-level proficiency in Python, including asynchronous programming (AsyncIO).
• Strong experience designing and implementing RAG pipelines, vector search, and GenAI systems.
• Deep experience with FastAPI for building scalable backend services.
• Hands-on experience with GCP, including deploying and managing applications in cloud-native environments.
• English proficiency – B2+/C1 preferred.

Nice to have

• Hands-on experience with Google ADK (Agent Development Kit) or similar agent orchestration frameworks.
• Familiarity with additional GenAI frameworks (e.g., LangChain, LlamaIndex) for broader architectural perspectives.
• Experience implementing security, guardrails, and PII protection in AI systems.

Culture & Benefits

• Professional growth.
• Dynamic work environment.
• Competitive salary.
• Attractive benefits plan.
• Benefits of law and superiors.
• Development opportunities.