Software Engineer, Gen AI
Listed on 2026-02-23
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Software Development
AI Engineer, Machine Learning/ ML Engineer
STAFF SOFTWARE ENGINEER - AI/ML
MOUNTAIN VIEW, CA - HYBRID OFFICE
Egnyte Your Career. Spark Your Passion.
Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyter should be respected. With 22,000+ customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte, you’re not just landing a new career, you become part of a team of Egnyters that are doers, thinkers, and collaborators who embrace and live by our values:
- Invested Relationships
- Fiscal Prudence
- Candid Conversations
Egnyte is the secure multi‑cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit
Egnyte is scouting for an experienced Staff Engineer to drive innovation across AI initiatives, with a special emphasis on NLP solutions. As a Staff Engineer, you will play a pivotal role in shaping the future of Gen AI at Egnyte by defining technical strategy, overseeing complex machine learning architectures, and ensuring seamless integration and deployment of Gen AI solutions into our platform and applications will mentor and guide a small engineering team while providing expertise in state‑of‑the‑art AI/ML practices, ensuring a robust production pipeline and the professional management of models.
WHAT YOU’LL DO:- Help lead the technical strategy and execution for AI projects across the organization.
- Design, deploy, and manage the lifecycle of AI/ML models, including retraining and monitoring for continuous improvement within our solution.
- Design and drive Gen AI features on petabyte‑scale datasets.
- Drive innovation in NLP and other ML solutions, ensuring alignment with Egnyte's business goals.
- Architect, develop and oversee scalable, production‑ready AI systems.
- Provide technical mentorship to the AI/ML engineering team, fostering growth and collaboration.
- Conduct in‑depth research and stay abreast of advancements in Gen AI and deep learning technologies.
- Collaborate with cross‑functional teams, including Product, to evaluate business requirements and determine optimal AI solutions.
- Review code, offer best practices, and ensure the delivery of high‑quality solutions.
- Represent Egnyte’s technical excellence through publications, presentations, and participation in industry events.
- Opportunity to work on cutting‑edge AI projects at scale.
QUALIFICATIONS:
- 8+ years of hands‑on industry experience at a software or SaaS company leading projects (in addition to internships, co‑ops and research projects).
- Experience managing large‑scale datasets and distributed computing environments, with a preference for Google Cloud Platform expertise.
- Java programming experience.
- Experience with integration and deployment of AI/ML solutions into production at scale within a SaaS platform.
- Demonstrates independent thinking, capable of analyzing unique challenges, overcoming technical hurdles and delivering impactful AI solutions.
- Hands‑on experience with Generative AI techniques, including RAG pipelines, LLM fine‑tuning, prompt engineering, and diffusion models.
- Strong knowledge of generative AI frameworks and tools, such as Hugging Face, Lang Chain, or OpenAI APIs.
- Experience in developing and scaling Generative AI solutions for NLP, vision, or multimodal tasks.
- Advanced knowledge of modern AI frameworks, such as PyTorch, Tensor Flow/Keras, Hugging Face Transformers, and JAX/Flax.
- Expertise in Python, Docker, Kubernetes, and Helm.
- Excellent communication skills, particularly in mentoring, knowledge sharing, and cross‑team collaboration.
- Willingness to be in office 3 days per week.
SKILLS:
- Proficiency in additional programming languages such as Scala or Go.
- Familiarity with tools and frameworks like Kubeflow and OpenCV.
- Proficiency in building and deploying Generative AI…
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