Software Engineer, AI/ML

Omnissa•Atlanta, GA

3d•$102,000 - $160,000•Hybrid

About The Position

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.

Requirements

Strong skills in Python, with hands-on experience using AI/ML libraries is a plus
Proficiency in Node.js and TypeScript (or comparable backend frameworks)
Experience with Java or C# is a plus
Proficiency with SQL and NoSQL databases
Experience with Docker, Kubernetes, CI/CD, and RESTful APIs
Experience building CI/CD pipelines using tools such as GitHub, Jenkins, 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 LangChain, LangGraph, or similar LLM orchestration frameworks

Nice To Haves

Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions using vector search and semantic retrieval
Knowledge of vector embeddings, RAG/GraphRAG architectures, and retrieval frameworks
Experience with graph databases (Neo4j/Cypher or equivalent)
Experience building agentic AI systems using tools such as LangGraph, n8n, or Flowise
Front-end development experience with React.js and HTML/CSS/JavaScript frameworks
Experience with embedding models, vector databases, and semantic search technologies
Knowledge of internationalization (i18n) standards and best practices is a nice to have

Responsibilities

Design, build, and scale backend services in Python, Node.js, and TypeScript 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 LangChain or LangGraph.
Work with SQL, NoSQL, 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.