Job Summary
Grant Thornton is building an AI Factory to deliver enterprise‑grade, agentic AI solutions that move beyond pilots into sustained business impact. As an AI Engineer, you will be a core builder within a cross‑functional AI Pod, responsible for implementing, testing, and deploying agentic systems into real client workflows. This role is hands‑on and execution‑focused. You will turn architectural designs and product intent into reliable, observable, and production‑ready AI components, working closely with the AI Product Lead, Lead AI Architect, and Automation Engineers.
Responsibilities
Agentic System Development
Build and implement agentic AI components, including:
Tool‑using agents
Multi‑step reasoning and execution flows
Planner, executor, and validator agent patterns
Translate architectural designs into working, maintainable code
Ensure agent behavior is bounded, predictable, and aligned with intent
Prompt, Memory & Retrieval Engineering
Develop prompts as versioned, testable software artifacts
Implement and tune:
Retrieval‑augmented generation (RAG)




Memory and context‑management strategies
Input and output constraints
Optimize prompts and retrieval for accuracy, latency, and cost
Evaluation, Testing & Reliability
Build evaluation harnesses to assess:
Accuracy and relevance
Hallucination and failure rates
Regression across prompt and model changes
Implement automated testing and validation for AI workflows
Partner with the Lead AI Architect to monitor drift and degradation over time
Deployment & Operations
Package and deploy AI components into production environments
Integrate AI logic into APIs, services, and workflows
Instrument solutions for:
Performance
Usage
Cost‑to‑serve
Support production troubleshooting and iterative optimization
Collaboration Within the AI Pod
Work closely with:
AI Product Lead to align implementation with acceptance criteria
Lead AI Architect on design decisions and patterns
Automation / Integration Engineers to enable real‑wo

📌 AI Engineer (Bogotá)
🏢 Auxis
📍 Bogotá