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 M xico Argentina Guatemala Honduras and Per 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
- Were 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.
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.