Offer summary

Qualifications:

At least 3 years of experience in software engineering., Over 2 years of experience with Azure Machine Learning., Proficiency in Azure OpenAI, Large Language Models, prompt engineering, and Python., Fluent in English, B2 level or higher..

Key responsibilities:

Design and implement LLM-powered solutions using Azure OpenAI and Azure AI Studio.

Build retrieval-augmented generation (RAG) pipelines with Azure AI Search and Blob Storage.

Orchestrate AI workflows and pipelines with Azure AI Foundry or PromptFlow.

Collaborate with cross-functional teams to integrate AI capabilities into enterprise systems.

Job description

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

Compensation:
To be agreed upon.

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.

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.

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.