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Software Engineer, AI​/ML

Remote / Online - Candidates ideally in
Asheville, Buncombe County, North Carolina, 28814, USA
Listing for: Omnissa
Remote/Work from Home position
Listed on 2026-08-04
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 102000 - 160000 USD Yearly USD 102000.00 160000.00 YEAR
Job Description & How to Apply Below

We are Omnissa! Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-from anywhere experiences. We integrate industry-leading solutions—including Unified Endpoint Management, Virtual Apps and Desktops, Digital Employee Experience, and Security & Compliance—into a seamless, autonomous workspace that adapts to how people work. Our platform boosts employee engagement while optimizing IT operations, security, and cost.

Job Description
We are Omnissa! Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-from anywhere experiences. We integrate industry-leading solutions—including Unified Endpoint Management, Virtual Apps and Desktops, Digital Employee Experience, and Security & Compliance—into a seamless, autonomous workspace that adapts to how people work. Our platform boosts employee engagement while optimizing IT operations, security, and cost. Guided by our Core Values—
Act in Alignment, Build Trust, Foster Inclusiveness, Drive Efficiency, and Maximize Customer Value
—we're growing rapidly and committed to delivering meaningful impact. If you're passionate about shaping the future of work, we'd love to hear from you. At Omnissa, we are committed to maintaining a fair, consistent, and secure hiring process for all candidates. As part of this approach, we use standard interview and verification practices designed to ensure alignment and protect both candidates and the organization.

These practices are applied thoughtfully and with respect for candidate privacy.

What is the opportunity?: As a Software Engineer, You Will Join Our Globalization Engineering Team, Building The AI-driven Services, Tools, And Platforms That Power Internationalization (i18n) And Localization Across Omnissa's Digital Work Platform. You Will Design And Scale Backend Systems, Integrate Large Language Model (LLM) Capabilities, And Help Embed Globalization Best Practices Into Our Engineering Workflows. Here Is a Breakdown

  • Design, build, and scale backend services in Python, Node.js, and Type Script that support globalization, internationalization, and localization workflows.
  • Develop and integrate AI/ML and LLM-based solutions—including RAG/GraphRAG architectures, vector embeddings, and semantic retrieval—to improve translation and localization quality.
  • Build and maintain CI/CD pipelines, containerized services (Docker, Kubernetes), and RESTful APIs deployed on Azure, AWS, GCP, or similar cloud platforms.
  • Integrate LLM endpoints (Azure OpenAI, AWS, or equivalent) with enterprise systems using MCP and orchestration frameworks such as Lang Chain or Lang Graph.
  • Work with SQL, No

    SQL, and graph databases (e.g., Neo4j/Cypher) to support scalable, data-driven globalization solutions.
  • Collaborate cross-functionally with product, engineering, and localization stakeholders to advance Omnissa's globalization strategy.

What will you bring to Omnissa?

  • Strong skills in Python, with hands-on experience using AI/ML libraries such as Tensor Flow, PyTorch, or Hugging Face
  • Proficiency in Node.js and Type Script (or comparable backend frameworks)
  • Experience with Java or C# is a plus
  • Proficiency with SQL and No

    SQL databases
  • Experience with Docker, Kubernetes, CI/CD, and RESTful APIs
  • Experience building CI/CD pipelines using tools such as Git Hub, Jenkins, or equivalent
  • Knowledge of vector embeddings, RAG/GraphRAG architectures, and retrieval frameworks
  • Experience with graph databases (Neo4j/Cypher or equivalent)
  • Experience integrating LLM endpoints (Azure OpenAI, AWS, or equivalent)
  • Experience integrating LLMs with enterprise systems using MCP
  • Experience deploying scalable AI services on Azure, AWS, GCP, or similar tools
  • Familiarity with Lang Chain, Lang Graph, or similar LLM orchestration frameworks

Preferred Qualifications

  • Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions using vector search and semantic retrieval
  • Experience building agentic AI systems using tools such as Lang Graph, n8n, or Flowise
  • Front-end development experience with React.js and HTML/CSS/JavaScript frameworks
  • Experience with embedding models, vector databases, and semantic search…
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