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Omnissa develops an AI-driven digital work platform for organizations managing modern employee environments and IT operations. Its offerings include unified endpoint management, virtual desktops and applications, and security and compliance capabilities, helping businesses deliver secure, adaptable access to digital tools. The company serves enterprise teams across sectors including healthcare, financial services, and retail, with cloud-native technology designed to support productive workforces.
Senior Software Engineer, AI Applications - Omnissa, Mountain View Hybrid
Build scalable AI applications for Omnissa’s digital work platform, including LLM-powered features, backend services, and distributed systems. Partner with AI/ML engineers to deliver reliable intelligent user experiences.
United States
California$162,512 – $342,750 / year
HybridFull-timeSeniorEnglish RequiredFull-stack EngineerSoftware EngineerDescription
- Design, develop, and deliver AI-powered application features and services
- Integrate LLM capabilities, automation workflows, and intelligent user experiences into applications
- Develop backend services, APIs, and application logic that interact with AI/ML systems and models
- Work with AI/ML engineers to bring models into production-ready applications
- Build scalable, reliable distributed systems with strong performance and availability
- Add observability, monitoring, and logging to AI-driven application components
- Contribute to system design, architecture reviews, and code reviews
- Improve system performance, reliability, and developer productivity
- Track developments in LLMs, embeddings, and agent frameworks and apply them to product use cases
- Lead engineering initiatives from inception through delivery while promoting ownership and engineering excellence
Requirements
- Five to ten years of experience as a software engineer building scalable applications
- Strong Python programming skills
- Proficiency in at least one additional language: Java, Go, or C++
- Experience developing backend systems, APIs, and microservice architectures
- Experience building scalable services with REST or gRPC APIs
- Experience integrating AI/ML capabilities into applications, including LLM APIs or machine learning services
- Strong knowledge of data structures, algorithms, and system design
- Experience with containerization and orchestration technologies
- Strong problem-solving abilities
- Effective collaboration in Agile environments
- Bachelor’s degree preferred, or an equivalent combination of education and relevant professional experience
- Employment-based immigration sponsorship is not available
Benefits
- Employee ownership
- Health insurance
- 401(k) with matching contributions
- Disability insurance
- Paid time off
- Professional growth opportunities
- Eligibility for the corporate bonus program
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