AI Engineer

Auxis; Bogotá; Presencial; COP 288.258.279 - 416.373.070; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional development opportunities

Competitive compensation

Descripción de la vacante

Auxis seeks an AI Engineer to build agentic AI components and integrate them into client workflows. You will implement, test, and deploy agentic systems, turning designs into production-ready software while collaborating with the AI Pod and Automation Engineers.

The role emphasizes hands-on development, prompt engineering, and retrieval strategies to optimize performance, latency, and cost in real client environments.

Formación

• Experience in AI, automation, or related field.
• Hands-on implementation and deployment of AI components.
• Strong understanding of LLMs, agentic patterns, and orchestration.

Responsabilidades

• Build and deploy agentic AI components in production.
• Develop prompts, memory, and retrieval strategies.
• Ensure AI systems are reliable, observable, and cost-efficient.
• Collaborate with AI Lead Architect and Automation Engineers.

Conocimientos

English-Spanish bilingual

Python

UiPath

Cloud platforms (AWS/Azure/GCP)

Power BI

Educación

Bachelor’s degree in computer science or Engineering

Herramientas

UiPath

MS Power Automate

Python

SQL/Database experience

Power BI

Descripción del empleo

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‑world execution
  • Contribute to reusable components, templates, and patterns within the AI Factory

Skills And Experience

• English - 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.

Experience

About Auxis

• 4–8+ years of experience in software engineering, data engineering, or applied AI development
• Hands‑on experience building and deploying systems into production environments
• Comfort working in agile, fast‑moving delivery teams

AI & Agentic Skills

• Practical experience with:
  • Generative AI and LLMs
  • Agentic frameworks or orchestration patterns
  • Tool calling and action execution
• Strong understanding of common LLM failure modes and mitigation techniques
• Ability to reason about when to rely on AI vs deterministic logic

Technical Skills

• Strong proficiency in Python
• Experience with:
  • API development and integration
  • Event‑driven or workflow‑based systems
  • CI/CD and modern DevOps practices
• Familiarity with cloud‑native architectures (Azure preferred)

Preferred Qualifications

• Experience implementing:
  • Retrieval‑augmented generation (RAG)
  • Vector databases and embedding strategies
• Exposure to monitoring, observability, or MLOps concepts
• Experience working in enterprise or regulated environments
• Consulting or client‑facing delivery experience