Software Engineer, AI/ML
This a Full Remote job, the offer is available from: Alabama (USA), Arizona (USA), Colorado (USA), Florida (USA), Georgia (USA), Kentucky (USA), North Carolina (USA), Texas (USA)
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 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.
What will you bring to Omnissa?
- Strong skills in Python, with hands-on experience using AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face
- 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
- 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 LangChain, LangGraph, 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 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
Location: USA
Location Type: Remote or Hybrid
Travel Expectations: None
Education: Bachelor's or Master’s degree in Computer Science or a related field preferred, or equivalent combination of education and relevant professional experience.
Compensation:
The typical base salary for this role is between
USD $102,000- $160,000
per year and it may be eligible for participation in a corporate bonus program. Actual compensation offer may vary from posted hiring range based upon geographic location, work experience, education, skill level, or other relevant factors. In addition to competitive compensation,Omnissaoffers a variety of benefits such as employee ownership, health insurance, 401k with matching contributions, disability insurance,paid-timeoff, growth opportunities, and more.
Omnissais an EqualEmploymentOpportunitycompanyandProhibits Discrimination and Harassment of Any Kind:
Omnissa is committed to the principle of equal employment opportunity and to providing a work environment free of discrimination and harassment. All employment decisions atOmnissaare based on business needs, job requirements and individual qualifications, without regard to race, color, religion, ancestry, ethnicity, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past, present, or prospective service in the uniformed services, family medical history or genetic information, family or parental status, veteran status, or any other status protected by applicable laws or regulations in the locations where we operate.Omnissawill not tolerate discrimination or harassment based on any of these characteristics.Omnissawelcomes applicants of all ages.Omnissawill provide reasonable accommodations to applicants and employees who have protected disabilities consistent with applicable federal,stateand local law.
This job requisition is not eligible for employment-based immigration sponsorship byOmnissa.