Job Title: AI Engineer
Location: New York City (On-site)
Compensation: $200,000 – $300,000
Hiring: 2+ hires
Role Overview
We are seeking exceptional AI Engineers to help redefine how humans interact with machines using voice, intelligence, and a new class of real-world data.
This role focuses on applied AI building and deploying production-grade LLM systems, agents, and search capabilities on top of real-world conversational data. You will architect and ship AI-powered systems that enable natural, voice-first interaction and extract insights from unstructured audio conversations.
As an early AI team member, you will shape the foundation of the AI stack and work across the full AI lifecycle from data acquisition and modeling to real-time inference and user-facing interfaces.
This is a high-intensity, in-person startup environment in NYC (~70 hours/week), suited for ambitious builders who thrive on ownership, speed, and impact.
Key Responsibilities
- Architect and deploy AI/LLM systems in production environments
- Build voice-first interfaces enabling natural speech interaction
- Develop LLM-powered agents and applied AI workflows
- Design search systems over large-scale conversational datasets
- Build and optimize audio intelligence pipelines for messy, real-world data
- Work across the AI lifecycle: data ingestion → modeling → evaluation → deployment → iteration
- Develop prompt engineering strategies and agent tooling
- Implement evaluation frameworks for AI systems
- Collaborate directly with customers to understand real-world pain points
- Contribute to foundational AI architecture and technical direction
Required Qualifications
- 1+ years of software engineering experience with strong applied AI exposure
- Proven experience building and deploying AI/LLM systems in production
- Strong proficiency in Python (primary tech stack)
- Experience with:
- LLM agents
- Prompt engineering
- Agent tooling
- Evaluation frameworks
- Experience building search or retrieval systems with LLMs
- Strong software engineering fundamentals
- Comfort operating in ambiguous, fast-moving startup environments
Preferred Qualifications
- Experience at an early-stage startup
- Experience building agentic systems or tool-calling frameworks
- Familiarity with frameworks such as LangChain
- Experience working with conversational or audio data
- Strong debugging and systems thinking skills
- Demonstrated history of high learning velocity
Ideal Candidate Profile
- Applied AI engineer (not purely ML research or model training focused)
- Strong builder mindset with production shipping experience
- Customer-obsessed and motivated by solving real-world problems
- Infinite learner with intellectual curiosity
- High ownership and independence
- Comfortable working directly with non-technical users
- Thrives in high-performance, in-person environments
What This Role Is Not
- Pure machine learning research
- Traditional data science
- Backend engineering without meaningful AI exposure
- Consulting or contract-based AI work
- Big-tech-only profile without startup adaptability
Interview Process
- Resume Screen
- Cultural Interview
- Technical Screen
- Onsite Interview
- Final Interview with Leadership
Why Join
- Build a first-of-its-kind conversational AI system for real-world, offline environments
- Work on cutting-edge applied AI problems involving voice and unstructured data
- Significant ownership and technical influence
- Backed by leading venture investors
- Opportunity to define foundational AI infrastructure in a fast-scaling company
