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Senior AI Engineer

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Parser Limited

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Location:
Colombia

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Design, architect, and implement scalable Generative AI frameworks and tools within Microsoft ecosystem. This role will focus on enabling non-engineers and junior developers to create NLP- and document-generation solutions through low-code or no-code interfaces, while also contributing to the company's AI technology strategy alongside the Tech and Engineering Leadership teams.

Job Responsibility:

  • Architect and implement a GenAI framework to enable internal teams to build and deploy document processing and NLP solutions with minimal coding effort
  • Lead the design and configuration of low-code/no-code AI development environments, integrating Azure OpenAI and Microsoft Cognitive Services
  • Define and implement AI architecture patterns, reusable components, and governance standards for scalable AI adoption
  • Collaborate with Tech Leaders and Engineering Leads to shape the AI technology roadmap, identifying opportunities for innovation and efficiency through GenAI
  • Build proofs of concept (POCs) that demonstrate new GenAI capabilities—such as document summarization, text generation, or automated content workflows
  • Support integration between GenAI tools and existing .NET-based systems, APIs, and enterprise data sources
  • Define AI model lifecycle standards including prompt engineering, versioning, data sourcing, and quality validation
  • Contribute to technical strategy discussions around model selection, cloud infrastructure, and tool evaluation
  • Coach and support engineers and business stakeholders in adopting and extending GenAI-based solutions

Requirements:

  • Proven experience implementing solutions using Azure OpenAI Service (GPT 3.5/4) or similar LLMs
  • Strong understanding of prompt design, embeddings, fine-tuning, and RAG (Retrieval-Augmented Generation) workflows
  • Experience building document-centric AI applications, including summarization, classification, redaction, or content generation
  • Familiarity with vector databases and semantic search pipelines for contextual data retrieval
  • Hands-on experience designing LLM-based architectures that combine generative reasoning with structured data
  • Experience defining AI frameworks, SDKs, or internal developer tools for reusable AI capabilities
  • Proven experience with low-code/no-code platforms such as Power Automate, Power Apps, Logic Apps, or other workflow orchestration tools
  • Ability to integrate LLM capabilities into enterprise environments, balancing scalability, maintainability, and usability
  • Understanding of prompt orchestration, pipeline automation, and governance controls for GenAI systems
  • Deep familiarity with Microsoft Azure services: Azure OpenAI Service, Azure Cognitive Search, Azure AI Studio / Azure Machine Learning, Azure Functions, Azure Logic Apps, and Azure DevOps
  • Strong experience developing or integrating APIs in .NET (C#)
  • Working knowledge of Python for prototyping or building orchestration scripts (preferred but not required)
  • Understanding of data integration, security, and compliance within Microsoft environments
  • Experience contributing to technology strategy, architecture decisions, or enterprise AI roadmaps
  • Ability to evaluate and recommend emerging tools and frameworks for GenAI adoption
  • Skilled at collaborating with Engineering Leads, Tech Leaders, and business stakeholders to align AI capabilities with organizational objectives

Nice to have:

  • Experience building AI-powered documentation, knowledge management, or content generation systems
  • Familiarity with AI governance, responsible AI principles, and data privacy frameworks
  • Microsoft Certified: Azure AI Engineer Associate (AI-102) or equivalent certification
  • Exposure to RAG frameworks such as LangChain, Semantic Kernel, or Azure AI Studio orchestration

Additional Information:

Job Posted:
January 10, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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