Job SummaryGrant 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.ResponsibilitiesAgentic System DevelopmentBuild and implement agentic AI components, including:Tool‑using agentsMulti‑step reasoning and execution flowsPlanner, executor, and validator agent patternsTranslate architectural designs into working, maintainable codeEnsure agent behavior is bounded, predictable, and aligned with intentPrompt, Memory & Retrieval EngineeringDevelop prompts as versioned, testable software artifactsImplement and tune:Retrieval‑augmented generation (RAG)Memory and context‑management strategiesInput and output constraintsOptimize prompts and retrieval for accuracy, latency, and costEvaluation, Testing & ReliabilityBuild evaluation harnesses to assess:Accuracy and relevanceHallucination and failure ratesRegression across prompt and model changesImplement automated testing and validation for AI workflowsPartner with the Lead AI Architect to monitor drift and degradation over timeDeployment & OperationsPackage and deploy AI components into production environmentsIntegrate AI logic into APIs, services,



and workflowsInstrument solutions for:PerformanceUsageCost‑to‑serveSupport production troubleshooting and iterative optimizationCollaboration Within the AI PodWork closely with:AI Product Lead to align implementation with acceptance criteriaLead AI Architect on design decisions and patternsAutomation / Integration Engineers to enable real‑world executionContribute to reusable components, templates, and patterns within the AI FactorySkills And ExperienceEnglish - Spanish Language (Oral and writing B2+ or above).Bachelor’s degree in computer science, Engineering, or a related field is desirable.Minimum of 5 years of experience in AI, automation, or a related field.Proficiency in UiPath and MS Power Automate, or similar automation platforms.Strong understanding of UiPath architecture and its components, with experience in server administration (Windows and Linux) and cloud environments (Azure, AWS).Proficiency with cloud platforms such as AWS, Azure, or GCP, particularly for deploying and managing UiPath Orchestrators.Experience with data analysis and reporting tools like MS Power BI.Experience with database management (SQL Server, Oracle).UiPath Certified Professional Advanced RPA Developer (UiARD) Certification is required.



Additional certifications in cloud platforms (AWS, Azure) are highly desirable.Strong leadership abilities with a focus on mentoring junior engineers.Excellent analytical, problem‑solving, and troubleshooting skills.Collaborative mindset with the ability to work effectively across cross‑functional teams.Adaptability to changing circumstances, learning new technologies, and driving continuous improvement.High integrity and ethical standards in professional conduct.ExperienceAbout Auxis4–8+ years of experience in software engineering, data engineering, or applied AI developmentHands‑on experience building and deploying systems into production environmentsComfort working in agile, fast‑moving delivery teamsAI & Agentic SkillsPractical experience with:Generative AI and LLMsAgentic frameworks or orchestration patternsTool calling and action executionStrong understanding of common LLM failure modes and mitigation techniquesAbility to reason about when to rely on AI vs deterministic logicTechnical SkillsStrong proficiency in PythonExperience with:API development and integrationEvent‑driven or workflow‑based systemsCI/CD and modern DevOps practicesFamiliarity with cloud‑native architectures (Azure preferred)Preferred QualificationsExperience implementing:Retrieval‑augmented generation (RAG)Vector databases and embedding strategiesExposure to monitoring, observability, or MLOps conceptsExperience working in enterprise or regulated environmentsConsulting or client‑facing delivery experience#J-18808-Ljbffr

📌 Ai Engineer (Cundinamarca)
🏢 Auxis
📍 Cundinamarca