AI Engineer

re-zoo-me; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 250,000; Full time

Job summary

re-zoo-me in San Francisco is seeking an AI Engineer to join a small, highly technical team building AI-powered features for enterprise customers. The role focuses on hands-on development, shipping LLM-powered capabilities, and owning end-to-end production systems in a fast-growing startup.

You'll work primarily in TypeScript/Node.js and/or Python, with AWS in the stack, and collaborate across a tight, autonomous team to push novel agentic AI solutions into production.

Qualifications

• 3–8 years of hands-on software engineering experience.
• Shipped LLM-powered features to production in real users.
• Production-grade experience with TypeScript/Node.js and/or Python.
• Hands-on experience building agents or agentic systems, including LLM orchestration and tool use.
• Experience with LLM evaluations, structured outputs and function calling.
• Keep up with evolution of agentic AI beyond standard toolkits.
• Bachelor's degree in Computer Science.
• Excited by early-stage environments, ambiguity and ownership.

Responsibilities

• Build and ship LLM-powered features and agentic systems used by real customers.
• Design agents that can reason, use tools and work across large datasets.
• Build reliable production systems around LLMs, including structured outputs, function calling and evaluation pipelines.
• Work primarily in TypeScript/Node.js and/or Python, with AWS as part of the stack.
• Experiment with new approaches in agentic AI and turn promising ideas into production.
• Solve reliability, latency, hallucinations, evaluation and cost challenges in shipping AI.
• Work with a small, highly technical team with autonomy and ownership.

Skills

LLM features in production

TypeScript/Node.js

Python

Agentic systems

LLM evaluations

Structured outputs

Function calling

Ownership mindset

Education

Bachelor's degree in Computer Science

Job description

San Francisco | Full-time | $180K–$250K + equity | 5 days/week in office

We’re working with an early-stage, well-funded technology company building AI-powered products for enterprise customers, and they’re looking for an AI Engineer to join the team in San Francisco.

This is a hands-on role for someone who has moved beyond AI prototypes and has actually shipped LLM-powered features to production.

You’ll be building the agents, tools, evaluation systems and infrastructure behind AI features used by real customers - with significant ownership over how those systems are designed and scaled.

What you'll do

• Build and ship LLM-powered features and agentic systems used by real customers
• Design agents that can reason, use tools and work across large datasets
• Build reliable production systems around LLMs, including structured outputs, function calling and evaluation pipelines
• Work primarily in TypeScript/Node.js and/or Python, with AWS as part of the stack
• Experiment with new approaches in agentic AI and turn promising ideas into production
• Solve the real-world problems that come with shipping AI: reliability, latency, hallucinations, evaluation and cost
• Work closely with a small, highly technical team with significant autonomy and ownership

What we're looking for

• 3–8 years of hands‑on software engineering experience
• You’ve shipped LLM-powered features to real users in production and can talk honestly about what broke
• Strong production engineering experience with TypeScript/Node.js and/or Python
• Hands‑on experience building agents or agentic systems, including LLM orchestration and tool use
• Experience with LLM evaluations, structured outputs and function calling
• You’re actively following the evolution of agentic AI and have experimented beyond the standard LangChain playbook
• Bachelor's degree in Computer Science
• You’re excited by early-stage environments, ambiguity and having meaningful ownership

Bonus points

• Experience working on a team with fewer than 15 engineers, or as a founding/early engineer
• Enterprise or vertical SaaS experience
• FDE, Solutions Engineering or other customer-facing engineering experience
• Anyscale Ray or similar distributed compute frameworks
• Open-source contributions in LLMs or agent tooling
• pgvector or other vector retrieval systems
• Fine‑tuning or post‑training experience

The opportunity

You’ll be joining a small, highly technical team working at the intersection of software engineering, LLMs and agentic AI.

If you've gone beyond demos and prototypes and have put AI into the hands of real users, we'd love to hear from you.