At a Glance
- Tasks: Lead AI-driven product initiatives and design scalable ML systems for talent management.
- Company: Join Beamery, a leading AI platform transforming HR technology for fairer talent decisions.
- Benefits: Enjoy a culture of trust and empathy, with opportunities for remote work and personal growth.
- Why this job: Be at the forefront of AI innovation, impacting workforce planning and talent management globally.
- Qualifications: Experience in ML projects, NLP, and collaboration across teams is essential.
- Other info: Diversity and inclusion are core values; we welcome applicants from all backgrounds.
The predicted salary is between 48000 - 84000 Β£ per year.
ABOUT BEAMERY
Beamery\βs 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 β 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\βs ahead β and why it\βs 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\βs 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.
OUR TECHNOLOGY STACK: Python β’ Agentic tools (Autogen, Semantic Kernel, LangChain) β’ SQL β’ MongoDB β’ Third-party LLM APIs β’ LiteLLM β’ MLflow β’ Google Cloud Platform β’ Docker β’ PyTorch β’ Hugging Face Transformers β’ SPARQL β’ Kubernetes
WHAT YOU WILL BE DOING AT BEAMERY
Join us at the forefront of transforming how organisations manage talent and plan their workforce. We\βre 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\βre a builder, a problem solver, and a pragmatic innovator. You\βre 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\βd 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
Visit our Diversity, Equality and Inclusion page to learn more about progress and commitments. #J-18808-Ljbffr
Senior AI Engineer employer: Beamery
Contact Detail:
Beamery Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior AI Engineer
β¨Tip Number 1
Familiarise yourself with Beamery's technology stack, especially Python, SQL, and machine learning frameworks like PyTorch and Hugging Face Transformers. Being able to discuss your experience with these tools in detail will show that you're ready to hit the ground running.
β¨Tip Number 2
Highlight any previous experience you have with NLP and GenAI, particularly with LLMs and RAG architectures. Prepare examples of how you've successfully implemented these technologies in past projects to demonstrate your expertise.
β¨Tip Number 3
Showcase your collaboration skills by preparing anecdotes about how you've worked effectively across different teams, such as data science, engineering, and product design. This will illustrate your ability to lead discussions and translate needs into actionable insights.
β¨Tip Number 4
Be ready to discuss your approach to mentoring and guiding teams. Share specific instances where you've fostered a culture of curiosity and technical excellence, as this aligns with Beamery's values and mission.
We think you need these skills to ace Senior AI Engineer
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights relevant experience in AI, machine learning, and NLP. Focus on projects that demonstrate your ability to deliver end-to-end ML solutions and your familiarity with the technologies mentioned in the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and talent management. Discuss how your skills align with Beamery's mission and values, and provide specific examples of how you've tackled similar challenges in previous roles.
Showcase Technical Skills: Clearly outline your technical expertise in your application. Mention your experience with Python, ML frameworks, and any relevant tools like Docker or Kubernetes. Highlight any projects where youβve implemented LLMs or worked with large datasets.
Demonstrate Collaboration Experience: Beamery values strong collaboration skills. Include examples in your application that showcase your ability to work effectively across teams, particularly in data science, engineering, and product development.
How to prepare for a job interview at Beamery
β¨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning projects, especially those involving NLP and GenAI. Highlight specific examples where you've successfully delivered end-to-end ML solutions, focusing on the challenges you faced and how you overcame them.
β¨Demonstrate Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios or case studies related to talent management. This will allow you to showcase your ability to think critically and creatively about complex problems, which is essential for the role.
β¨Emphasise Collaboration and Communication
Since the role involves working with cross-functional teams, share examples of how you've effectively collaborated with data scientists, engineers, and product managers in the past. Strong communication skills are key, so demonstrate your ability to convey complex ideas clearly.
β¨Align with Company Values
Beamery values trust, empathy, and honesty. Make sure to express your alignment with these values during the interview. Share experiences that reflect your commitment to creating an inclusive environment and fostering a culture of curiosity and creativity.