Senior AI Engineer

Beamery’s mission is to create equal access to work, skills, and careers. We are a leading transformational AI platform in the HR technology industry, enabling enterprise companies to create better and fairer talent decisions – by accelerating their recruiting processes, unlocking successful internal mobility opportunities, enabling smarter upskilling initiatives, and facilitating agile workforce planning. We are helping our clients hire and redeploy over a million people annually.
Our product is used by Fortune 2000 organizations globally and enables users across 100+ countries to make smarter talent decisions and close skills gaps. Read more about our work here. 
What’s ahead — and why it’s an exciting time to join the team: 
✨ Deepening our native integrations with SAP, Workday, Microsoft, and LinkedIn to seamlessly embed our skills intelligence into the platforms where critical workforce decisions are made.
✨ Embedding our agentic AI to help customers plan smarter for the future—powering workforce strategies, internal mobility, and skills forecasting.
✨  Advancing our use of proprietary LLMs and knowledge graph technology to help organizations unlock broader talent pools, make fairer decisions, and expand access to opportunity at scale.
But it’s not all about creating high-quality products, we also very much value the company culture we have worked hard to create; built on trust, empathy & honesty ensuring our workforce is able to bring their full selves to work.

ABOUT THE TEAM
Beamery Edge creates a data-and-computation environment for large-scale experimentation with unique data assets. We combine data, analytics and science to build a multimodal knowledge base that draws on both structured and unstructured sources, enabling solutions such as information extraction, entity resolution, graph-based embeddings and search. You will be part of a hands-on, globally distributed group tackling novel R & D problems that directly impact customers.

WHAT YOU WILL BE DOING AT BEAMERY
Join us at the forefront of transforming how organisations manage talent and plan their workforce. We're building intelligent products powered by LLMs and agentic workflows that turn complex talent data into actionable insights and automation.

🚀 Own and lead the full lifecycle of impactful AI-driven product initiatives, from early discovery to deployment, designed to solve talent management processes for customers.
🚀 Design, build, and scale production-grade ML systems that extract insights from rich, semi-structured text data.
🚀 Invent and implement novel models and algorithmic techniques that improve the relevance, performance, and scalability of our talent intelligence and workforce planning tools.
🚀 Lead discussions with cross-functional teams to uncover real-world needs and translate them into data-driven recommendations, and robust, user-facing applications.
🚀 Experiment rapidly and iterate on PoCs, leveraging state-of-the-art models, LLMs and agentic workflows to explore new capabilities and product directions.
🚀 Leverage machine learning techniques such as LLMs, RAG (retrieval augmented generation) and agentic orchestration frameworks to automate complex decision flows and generate insights from customer data.
🚀 Mentor and guide a talented team of data scientists, fostering a culture of curiosity, creativity, and technical excellence.

WHO ARE WE LOOKING FOR?

You’re a builder, a problem solver, and a pragmatic innovator. You’re excited by the potential of GenAI and machine learning to shape the future of talent management—and ready to turn that potential into real, scalable products.
We’d love to hear from you if you have:

🚀 Proven experience delivering end-to-end ML projects, from early experimentation to production deployment.
🚀 Comfort with ambiguity, and the ability to shape, test, and validate product ideas in fast-moving environments.
🚀 Deep expertise in NLP and GenAI, including Transformers, LLMs, RAG architectures, fine-tuning, and/or agent-based workflows.
🚀 Hands-on experience with recommendation systems or search-based applications.
🚀 Strong collaboration skills, with a track record of working effectively across data science, engineering, product, and design.
🚀 Experience processing and leveraging large, messy, unstructured datasets and making sense of them through ML.
🚀 Excellent technical leadership, communication and mentorship skills, with the ability to bring others along on complex AI initiatives.
🚀 Experience with modern software engineering and MLOps practices, including CI/CD, automated testing, and robust data and model pipelines.

Bonus Points For
🚀 Experience bringing GenAI systems into production, from prototype to scalable architecture, including LLM safety, prompt evaluation, and fine-tuning pipelines.
🚀 A solid grasp of LLM evaluation, bias detection, and the ethical implications of deploying AI at scale, including experience building robust evaluation datasets and frameworks.

Beamery is for Everybody. Diversity and open expression are fundamental to us. We acknowledge the challenges in our industry and strive to develop an inclusive culture where everybody can contribute. We are dedicated to creating an inclusive environment for everyone, regardless of ethnicity, religion, color, sexual orientation, gender identity, race, national origin, age, disability status, or caregiver status. If, for whatever reason, you need us to make reasonable adjustments and adaptations to our recruitment process, please email [email protected]

Visit our Diversity, Equality and Inclusion page to learn more about progress and commitments.