AI/ML Software Engineer

Egnyte-posted 7 days ago

Full-time • Mid Level

Hybrid • Mountain View, CA

1,001-5,000 employees

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Egnyte is seeking a Software Engineer to work on cutting-edge AI/ML projects, contributing to the development and integration of Generative AI and machine learning solutions at scale. As a Software Engineer, you will focus on designing, implementing, and deploying AI systems to enhance Egnyte’s platform capabilities. This is a hands-on role where you’ll work closely with cross-functional teams to solve complex technical challenges, optimize AI workflows, and ensure seamless delivery of solutions.

Contribute to the design, development, and deployment of AI/ML features for Egnyte’s platform.
Build and optimize Generative AI solutions, such as NLP-based models, to enhance user experiences and platform functionalities.
Collaborate with cross-functional teams, including Product and Data Science, to translate business requirements into AI-driven solutions.
Develop, test, and deploy machine learning models, ensuring scalability, performance, and maintainability.
Write clean, efficient, and production-ready code, following best practices in software engineering.
Stay up to date with the latest advancements in AI/ML technologies and apply them to relevant projects.
Participate in code reviews and contribute to improving engineering practices across the team.
Monitor and maintain deployed models, ensuring continuous improvement and reliability.

3+ years as an full-time Engineer at a SaaS or Software company (excluding Co-op, internships and academic research).
Strong foundation in computer science, algorithms, and data structures.
Programming experience using Java and integrating AI/ML models into production
Hands-on experience with machine learning techniques, including Generative AI (RAG pipelines, LLMs, fine-tuning, and prompt engineering).
Experience working with Python and using ML frameworks like PyTorch, TensorFlow/Keras, and Hugging Face.
Familiarity with cloud platforms, such as GCP or AWS, and distributed computing environments.
Knowledge of containerization tools like Docker and orchestration frameworks like Kubernetes.
Solid communication skills, with a collaborative mindset and the ability to work effectively in cross-functional teams.
Willingness to be in office 3 days per week.

Familiarity with LangChain, OpenAI APIs, or other Generative AI platforms.
Experience with additional programming languages such as Go or Scala.
Exposure to ML pipelines and frameworks like Kubeflow.
Knowledge of computer vision or multimodal machine learning techniques.
Demonstrated ability to present technical concepts to both technical and non-technical audiences.

Competitive salaries and comprehensive benefits
Flexible hours and generous time off (RTO, Responsible Time Off) to help support your work-life balance
Paid holidays and sick time
401(k) Retirement Plan (Traditional, Roth and Mega Backdoor Roth)
Health Savings Account (HSA) with a generous employer contribution
Up to 12wks of paid Parental and Adoption Leave to help you grow your family
Modern and collaborative offices located in Draper, UT; Raleigh, NC; Mountain View, CA; Reading, England, and Poznan, Poland
Gym, cell phone, and internet reimbursement
Free well-being apps such as Peloton, Carrot, and Spring Health for Guardian are offered, as well access to our Employee Assistance Program (EAP)
Perks include discounted pet insurance, electronics, theme park tickets, travel, plus more
Your own Egnyte account with lifetime access

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