Datasite is the essential infrastructure for M&A. Also comprising Grata, Blueflame AI, and Sherpany, we help dealbreakers find opportunities, manage transactions, and make key decisions.
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Job Description:
Sherpany is the leading solution for managing board and executive meetings. We support 20,000+ global leaders and executives in streamlining and optimising the entire meeting lifecycle—from preparation and collaboration to follow-up—and deliver AI-powered insights to turn focussed discussions into powerful outcomes.
Since 2024 Sherpany has been part of the Datasite Group, the global leaders in secure transaction technology. Together we’re making high-impact decision making the standard for businesses across the globe.
About the role:
As Senior AI Engineer you will focus on building and optimizing AI components and pipelines for Sherpany’s products. This role involves hands-on development, experimentation with advanced AI techniques, and close collaboration with software engineers, product managers, and data scientists to deliver practical, high-quality AI solutions aligned with business goals.
What you’ll do:
- build and optimize AI components and pipelines for Sherpany’s products
- experiment with advanced AI techniques to deliver innovative features
- integrate AI solutions seamlessly with product and engineering teams
- ensure performance, scalability, and security in AI workflows
- work with on-prem AI deployments and optimize infrastructure for reliability and compliance
- stay ahead of emerging AI technologies and propose improvements
- mentor junior engineers and share best practices
What you bring:
- 4+ years in AI/ML engineering with hands-on experience in production environments
- strong Python skills and proficiency in AI/ML frameworks (PyTorch, TensorFlow, scikit-learn)
- knowledge of LLMs, RAG, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex)
- experience with on-prem AI deployments is a strong plus.
- experience with containerization (Docker) and modern engineering practices (CI/CD, Git)
- familiarity with security best practices and compliance requirements
- experience with cloud AI platforms (AWS, Azure, GCP) is a plus for future initiatives
#LI-Sherpany
Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.
Skills Required
- 4+ years of AI/ML engineering experience in production environments
- Strong Python skills
- Proficiency with PyTorch, TensorFlow, and scikit-learn
- Knowledge of large language models, retrieval-augmented generation, vector databases, and orchestration frameworks such as LangChain or LlamaIndex
- Experience with containerization and modern engineering practices, including Docker, CI/CD, and Git
- Familiarity with security best practices and compliance requirements
- Experience with on-premises AI deployments
- Experience with cloud AI platforms such as AWS, Azure, or GCP
DataSite Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about DataSite and has not been reviewed or approved by DataSite.
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Healthcare Strength — Health coverage is described as comprehensive, including medical, dental, vision, mental‑health resources, and an employee assistance program. Feedback suggests these offerings align with mainstream expectations for mid‑size SaaS employers.
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Retirement Support — A 401(k) with employer match is consistently referenced, with some mentions of immediate vesting. Feedback suggests the retirement program is competitive relative to common market practices.
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Leave & Time Off Breadth — Paid time off is characterized as meaningful, including paid holidays, sick time, and generous PTO ranges, with certain business units citing unlimited PTO and notable parental leave. Feedback suggests time off is a valued and frequently cited strength.
DataSite Insights
What We Do
Datasite the maker of Datasite Diligence virtual data room platform, helping dealmakers around the world close more deals faster.
