About Beamery

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, and honesty ensuring our workforce is able to bring their full selves to work.

About the role/team

Team Edge is Beamery's AI team, researching, building, and owning best-in-class AI models in production. Currently, we are productionising our own LLMOps and MLOps infrastructure to enable every team at Beamery to introduce agentic workflows into our systems.

Tech Stack: Python, TypeScript, Postgres, Mongo, LiteLLM, MLFlow, GraphQL, GraphDB, Docker, Kubernetes, Terraform

What you will be doing at Beamery

• Play a critical role in designing, developing, and operating the next generation of our core AI services, APIs, and the data science models supporting them.
• Collaborate with MLOps to continuously improve deployment and monitoring of models and services in production.
• Execute projects end-to-end, from discovery and design through prototyping, implementation, measuring success, and owning operations.
• Work closely with product managers, designers, and teammates to identify and implement optimal design approaches that deliver value to customers.
• Improve internal processes, documentation, and ways of working, embracing agile methodologies, sprint-based delivery, and a customer-centric approach.
• Foster a vibrant, inclusive company culture by creating a welcoming environment where team members feel empowered to share ideas and creativity.
• Participate in company-wide initiatives and learning opportunities; such as tribes, hackathons, and programs like Women in Engineering to promote diversity and inclusion.

Who are we looking for?

• Skilled in scaling and productizing ML models, including offline batch data products and models deployed in real-time online services.
• Expertise with Python and its ecosystem.
• Experience with containerization technologies like Docker and Kubernetes.
• Curious and thoughtful—eager to understand the "why" before jumping into technical implementation.
• Clear and effective communicator.
• Proactive team player dedicated to continuous improvement.

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 accommodations@beamery.com

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