BambooHR is looking to expand its AI team to build logic and harness data to unleash new product possibilities and accelerate its business, helping millions of users in growing businesses achieve more with smart insights and interactions.
Requirements
- 5+ years of professional experience building data-centric software, as a machine learning engineer, AI specialist, software-focused data scientist, or similar
- Experience building and deploying production applications and a deep understanding of the end to end components of a Cloud based application
- Track record as an engineer building for production, ideally with machine learning algorithms (typically Python), logic and platform services, and intelligent systems at scale
- Expertise with LLMs, prompt engineering, agent building, and vector databases
- Skill collaborating using cloud-based tooling, git, notebook systems, and ML workflows
- Technical expertise in functional languages such as Clojure
- Ability to create strong technical designs with higher-order logic and clean data structures
Responsibilities
- Build platforms for driving intelligent decisions, interacting with machine learning models, and powering interactions such as conversational interfaces
- Collaborate with data scientists, data engineers, data analysts, software engineers, IT specialists, and stakeholders to expand effective use of AI applications
- Research and prove out new approaches and algorithms through prototypes
- Ensure high-quality system delivery and continually improve workflows and methods
- Code data-intensive software and algorithms
- Contribute to data-centric backend services, thoughtful abstractions and APIs, and interactive experiences such as conversational agents and interpretive tools
- Interface data repositories / caches / pipelines, message queues, ML models, LLMs, and other services in cloud environments, especially AWS
Other
- Clear communicators (verbal and written)
- Able to synthesize patterns and useful abstractions
- Conversant in underlying data structures, math, and algorithms
- Creative in finding relevant and novel approaches
- Productive in a dynamic setting
