Senior AI Engineer (Europe, remote) - Sherpany

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 SeniorAI 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

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.

Originally posted on Himalayas