AI/ML Engineer – Azure (LLM Integrations & Cloud Applications)

We are seeking a top candidate to join our team as AI/ML Engineer – Azure (LLM Integrations & Cloud Applications).

Compensation:
To agree.
Location:
Remote (for Colombia, México, Argentina, Guatemala, Honduras, and Perú residents).

Mission of Softgic:
In Softgic S.A.S. we work for the digital and cognitive transformation of our clients, aware that quality is an essential factor for us, we incorporate the following principles into our policy:

• Deliver quality products and services.
  
• Achieve the satisfaction of our internal and external clients.
  
• Encourage in our team the importance of training to grow professionally and personally through development plans.
  
• Comply with the applicable legal and regulatory requirements.
  

What makes you a strong candidate:

• You have 3+ years of experience in software engineering.
  
• You have 2+ years of experience in Azure Machine Learning.
  
• You are proficient in Azure OpenAI, LLM (Large language model), prompt engineering, and Python.
  
• English - Native or fully fluent.
  

Responsibilities and more:

• Design and implement LLM-powered solutions using Azure OpenAI and Azure AI Studio.
  
• Build RAG pipelines using Azure AI Search and Blob Storage to enable intelligent retrieval.
  
• Orchestrate AI workflows and pipelines using Azure AI Foundry or PromptFlow.
  
• Integrate AI capabilities with enterprise systems and third-party applications via APIs and SDKs.
  
• Develop backend logic using Azure Functions, REST APIs, and automation services.
  
• Apply prompt engineering to refine model outputs for specific business contexts.
  
• Manage and optimize data pipelines and document storage with Azure Blob Storage.
  
• Ensure high availability, scalability, and performance of AI services in production.
  
• Monitor, debug, and maintain AI deployments using Azure monitoring tools.
  
• Collaborate cross-functionally with cloud architects, developers, and product stakeholders.
  

Preferred qualifications:

• Certifications like Azure AI Engineer Associate or Azure Developer Associate.
  
• Familiarity with tools like LangChain, Semantic Kernel, or Prompt orchestration frameworks.
  
• Experience building copilots, chatbots, or intelligent assistants.
  
• Knowledge of enterprise integrations (e.g., CRM, DMS).
  
• Good practices in version control, testing, and deployment pipelines.
  
• English level: B2+ or higher.
  

Requirements

• 3–6 years of experience in software or AI engineering, with 2+ years in Azure AI.
  
• Hands-on experience with Azure OpenAI (e.g., GPT-4, Codex).
  
• Strong skills in prompt engineering and adapting LLMs for real-world use cases.
  
• Experience with Azure AI Search for vector/document retrieval.
  
• Proficient in Azure Blob Storage, Azure Functions, and Azure SDKs.
  
• Proficiency in Python and at least one web framework (e.g., Flask, FastAPI).
  
• Understanding of cloud-native architecture, access control, and CI/CD.
  
• Experience building production-grade AI solutions or intelligent app features.
  

Benefits

• We're certified as a Great Place to Work.
  
• Opportunities for advancement and growth.
  
• Paid time off.
  
• Formal education and certifications support.
  
• Benefits with partner companies.
  
• Referral program.
  
• Flexible working hours.