Backend/ML Engineer

Responsibilities:

• Build and iterate on backend APIs and data pipelines for AI/ML-powered PoC projects, moving fast from idea to working prototype
• Integrate third-party AI services and models (LLMs, embedding models, vision, speech, etc.) across a variety of product domains
• Work directly with stakeholders to understand project goals, identify gaps in requirements, and document decisions
• Set up and run evaluations across AI providers and models, collect results, and summarize findings clearly
• Contribute ideas to early-stage product and feature discussions
• Document technical findings and decisions clearly enough for the broader team to act on
• Juggle multiple concurrent workstreams and communicate progress and blockers proactively
• Comfortable with ambiguity — able to define a path forward when the full picture isn't clear
• Education / Experience (Requirements):
• 3–7 years of experience in software engineering
• Experience building and deploying REST APIs (FastAPI, Flask, or similar)
• Familiarity with LLM APIs (OpenAI, Anthropic, Gemini, or similar)
• Working knowledge of SQL and at least one non-relational data store
• Comfortable working from loosely defined requirements and moving forward without waiting to be told
• Clear written communicator; can explain technical findings to a non-engineering audience
• Self-directed — raises blockers early and communicates status without being asked
• Nice to have
• Experience with ML model evaluation or comparing outputs across AI providers
• Familiarity with embedding-based search, recommendation, or personalization
• Experience writing technical specs or findings for handoff to other teams
• Exposure to data ingestion from third-party APIs
• Has shipped something end-to-end independently — side project, open source, or otherwise
• Benefits Offered Full-Time Employees:
• No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.