What are the responsibilities and job description for the AI Engineer position at Recruitment Room?
Job Description
Job Description
As a member of the AI / ML team, you'll work on building fundamentally new applications using language models and some of the most interesting datasets in the world. You will play a critical role in the team and enable us to release new projects transforming how people interact with financial systems. You'll be joining an AI / ML team with vast intellectual freedom and latitude to explore new domains.
Our team spends most of our time building applications on frontier models from OpenAI and Google, along with a wide range of open-source models for multimodal tasks. Our focus is on agentic systems within finance, leveraging tool calling, structured outputs, and RAG workflows. Were currently building agents and an open-source framework for agent-centric companies. We are a well-funded team of 20 with several years of experience building AI / ML applications on blockchain data. The AI / ML team is supported by outstanding engineering and product teams.
Were looking for someone who thrives in new domains, excited about the opportunity to take on new challenges, and contributes fresh ideas that will shape the company roadmap. We regularly explore new projects, work on delivering in fast iteration cycles, and operate in without clearly defined requirements.
This role is remote first. However, applicants in NYC or near the US Eastern time zone are strongly preferred.
What were looking for
- Experience working with LLMs using structured output, RAG workflows, tool calling, etc.
- Ability to define and create systems driven by LLMs
- Comfortable interacting with smart contracts programmatically
- Opinionated about framework usage and design
- Most comfortable in Python
- Open to occasionally working in Elixir
- Willing to do a variety of tasks that move the team forward
- Experience and or interest in perpetual futures
- History of Open-Source Contributions
Compensation & Package
Base equity
Interview Process
1 Technical Interview
Get to know / technical call with the Head of ML
2 Take Home Test
Take Home Assignment
3 Final Interview
Final Interview with the C-Suite
Location
Remote - US - Ideally NYC Based
