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.