DataSite

Senior AI Engineer (Europe, remote) - Sherpany

Posted 5 Days Ago

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2 Locations

In-Office or Remote

Senior level

Software

We empower dealmakers around the world with the tools they need to succeed across the entire M&A journey.

The Role

Build and optimize AI components and production pipelines for Sherpany products. Develop innovative AI features, integrate solutions with engineering and product teams, and ensure workflow performance, scalability, security, reliability, and compliance. Work with on-premises AI deployments, evaluate emerging technologies, mentor junior engineers, and establish best practices.

Summary Generated by Built In

Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing

and more. Here you’ll find the finest technological pioneers: Datasite, Blueflame AI, Grata, and Sherpany. They all, collectively, define the future for business growth.

Apply for one position or as many as you like. Talent doesn’t always just go in one direction or fit in a single box. We’re happy to see whatever your superpower is and find the best place for it to flourish.

Get started now, we look forward to meeting you.

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.

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.
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.
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.