Hybrid AI Research Scientist, LLMs

at Lendbuzz

• Job title: AI Research Scientist, LLMs
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: $150,000 - $190,000 per year
• Degree requirement: Postgraduate Degree
• Tech skills: Microservices, Numpy, Pandas, Python, PyTorch, Scikit-Learn
• Location requirements: Hybrid, Boston, United States

About the role

• AI Research Scientist at Lendbuzz developing conversational AI and agentic AI systems. Leading research direction and collaborating with cross-functional teams in a hybrid work environment.

Responsibilities

• Lead research and development for conversational AI, agentic AI, and multi-step reasoning systems
• Explore and prototype novel architectures, algorithms, and interaction paradigms across text, voice, and multi-modal interfaces
• Define technical roadmaps, research priorities, and model evaluation strategies for agent behaviors, tool-use workflows, and context management
• Develop agent frameworks including prompt architectures, retrieval systems (RAG), planning modules, and tool orchestration pipelines
• Build robust real-time systems including voice streaming, low-latency inference, and continuous context tracking
• Design, fine-tune, and deploy LLM-based and multi-modal models using internal infrastructure, REST APIs, and microservices
• Run systematic experiments to evaluate model quality, reliability, reasoning, and user experience
• Analyze conversational data, agent behavior traces, and performance metrics to guide iterative improvements
• Develop benchmarking protocols, simulation environments, and evaluation tooling for agentic workflows
• Partner with product teams to translate research into production features
• Work with engineering teams to ensure reliability, safety, and performance of deployed models
• Contribute to internal documentation, research reports, and knowledge-sharing sessions

Requirements

• PhD in Artificial Intelligence, Computer Science, Machine Learning, or a related technical field
• Prior research experience with Machine Learning / AI required
• Strong proficiency in Python, with experience in ML frameworks (e.g., PyTorch) and data tooling (NumPy, Pandas, Scikit-learn)
• Demonstrated experience in NLP, LLMs, conversational AI, or machine learning research
• Strong problem-solving skills and ability to operate independently while driving complex research initiatives
• Experience designing experiments, evaluating models, and working with large datasets