AI Engineer (Generative AI | RAG | AI Agents)

10x Advisory

Colombia

Presencial

COP 90.000.000 - 180.000.000

Jornada completa

14 días+

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Descripción de la vacante

10x Advisory is seeking an AI Engineer in Colombia to design and build production-grade AI applications for enterprise clients. You will work with LLMs, RAG, and AI agents to automate business processes and integrate with enterprise systems.

Join a high-growth AI and digital transformation practice, collaborating with experienced architects, consultants, and engineering leaders shaping the future of enterprise AI.

Formación

  • 3+ years of professional software engineering experience.
  • Experience building production AI applications in Python.
  • Strong understanding of APIs, cloud platforms, and modern software architecture.
  • Experience deploying production apps in Azure, AWS, or Google Cloud.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.

Responsabilidades

  • Design and develop enterprise AI applications using Large Language Models (LLMs).
  • Build Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge bases and document repositories.
  • Develop AI-powered assistants, copilots, and intelligent workflow applications.
  • Build AI Agents capable of automating business processes and interacting with enterprise systems.
  • Integrate AI capabilities with APIs, cloud services, and enterprise applications.
  • Develop scalable backend services using Python and modern application frameworks.
  • Partner with solution architects, consultants, and business stakeholders to translate requirements into production-ready AI solutions.
  • Participate in application architecture, testing, deployment, and continuous improvement.
  • Stay current on emerging AI technologies and recommend innovative approaches for client engagements.

Conocimientos

Python
FastAPI/Flask
REST APIs
Git
Docker
OpenAI
Anthropic Claude
Prompt Engineering
RAG
AI Agents
Vector Databases
Embeddings
Semantic Search
LangChain
LangGraph
Semantic Kernel
CrewAI
AutoGen
AWS
Microsoft 365
SharePoint
ServiceNow
SAP
Databricks
Snowflake

Educación

Bachelor's degree in Computer Science, Engineering, Information Systems

Herramientas

Azure
AWS
GCP

Descripción del empleo

Build the Next Generation of Enterprise AI

Our client is building a high-growth AI and Digital Transformation practice focused on helping enterprise organizations harness the power of Generative AI, intelligent automation, and modern data platforms.

Rather than building experimental AI models, this team develops production-ready AI applications that improve how businesses operate—leveraging technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, cloud platforms, and enterprise integrations.

This is an opportunity to work on cutting-edge AI initiatives for enterprise and middle-market clients while collaborating with experienced architects, consultants, and engineering leaders who are shaping the future of enterprise AI.

What You'll Do

As an AI Engineer, you'll design and build intelligent applications that solve real business problems using modern AI technologies.

Responsibilities include:
  • Design and develop enterprise AI applications using Large Language Models (LLMs)
  • Build Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge bases and document repositories
  • Develop AI-powered assistants, copilots, and intelligent workflow applications
  • Build AI Agents capable of automating business processes and interacting with enterprise systems
  • Integrate AI capabilities with APIs, cloud services, and enterprise applications
  • Develop scalable backend services using Python and modern application frameworks
  • Partner with solution architects, consultants, and business stakeholders to translate requirements into production-ready AI solutions
  • Participate in application architecture, testing, deployment, and continuous improvement
  • Stay current on emerging AI technologies and recommend innovative approaches for client engagements
Qualifications

We're looking for engineers who combine strong software development fundamentals with hands-on experience building modern AI applications.

Ideal candidates will have experience with many of the following:
Programming
  • Python
  • FastAPI or Flask
  • REST APIs
  • Git
  • Docker
Generative AI
  • OpenAI
  • Anthropic Claude
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • AI Agents
  • Vector Databases
  • Embeddings
  • Semantic Search
AI Frameworks

Experience with one or more:

  • LangChain
  • LangGraph
  • Semantic Kernel
  • CrewAI
  • AutoGen

Experience with one or more:

  • AWS

Experience integrating AI with platforms such as:

  • Microsoft 365
  • SharePoint
  • ServiceNow
  • SAP
  • Databricks
  • Snowflake
Preferred Qualifications
  • 3+ years of professional software engineering experience
  • Experience building production applications using Python
  • Experience developing Generative AI or LLM-based applications
  • Strong understanding of APIs, cloud platforms, and modern software architecture
  • Experience deploying production applications in Azure, AWS, or Google Cloud
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
Nice to Have

Experience with any of the following is a plus:

  • AWS Bedrock
  • Cursor
  • MLOps
  • Power Platform
  • n8n
  • UiPath
What Makes This Opportunity Different

This isn't a traditional software engineering role.

You'll help organizations transform the way they operate by building intelligent applications that improve productivity, automate business processes, and unlock enterprise knowledge using the latest advancements in Generative AI.

You'll work alongside experienced architects and consultants delivering real AI solutions—proofs of concept—to enterprise clients across a variety of industries.

If you're passionate about building practical AI applications that solve meaningful business challenges, we'd love to connect.

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