Senior AI Engineer
Description For Senior AI Engineer
Beamery is seeking a Senior AI Engineer to join their Edge team, focusing on transforming talent management through AI-powered solutions. As a leading HR technology platform, Beamery enables enterprise companies to make smarter talent decisions using their transformational AI platform. The role combines cutting-edge AI development with practical business applications, working with technologies like LLMs, RAG architectures, and agentic workflows.
The position offers an opportunity to work on novel R&D problems within a globally distributed team, directly impacting customer solutions. You'll be responsible for building intelligent products powered by LLMs and agentic workflows, turning complex talent data into actionable insights and automation. The tech stack includes Python, various AI tools (Autogen, Semantic Kernel, LangChain), and modern cloud infrastructure.
Key responsibilities include leading AI-driven product initiatives, designing ML systems, implementing novel algorithmic techniques, and mentoring team members. The ideal candidate should have deep expertise in NLP and GenAI, experience with production ML systems, and strong leadership skills.
Beamery is currently expanding their native integrations with major platforms like SAP, Workday, and Microsoft, while advancing their use of proprietary LLMs and knowledge graph technology. The company culture emphasizes trust, empathy, and honesty, with a strong commitment to diversity and inclusion.
This is an excellent opportunity for an experienced AI engineer looking to make a significant impact in the HR tech space while working with cutting-edge AI technologies and leading a talented team.
Responsibilities For Senior AI Engineer
- Own and lead the full lifecycle of AI-driven product initiatives
- Design, build, and scale production-grade ML systems
- Implement novel models and algorithmic techniques
- Lead discussions with cross-functional teams
- Experiment with PoCs using state-of-the-art models and LLMs
- Leverage machine learning techniques including RAG and agentic orchestration
- Mentor and guide a team of data scientists
Requirements For Senior AI Engineer
- Proven experience delivering end-to-end ML projects
- Deep expertise in NLP and GenAI
- Hands-on experience with recommendation systems or search-based applications
- Strong collaboration skills
- Experience processing large, unstructured datasets
- Excellent technical leadership and communication skills
- Experience with modern software engineering and MLOps practices
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