In-Office AI Engineer: Ship Production LLM Features

Digital Waffle; New York (NY); On-site; USD 120,000 - 210,000; Full time

Job summary

Digital Waffle in New York is hiring an AI Engineer to design, build, and ship LLM-powered product features and agentic workflows into production. This is a hands-on role focused on the applied AI stack, including prompts, retrieval, tools, agents, evals, and integration with live products.

You'll work closely with product and users, implementing production-grade features using Python and TypeScript, and collaborating with frontend surfaces built in React and Next.js.

Qualifications

• Production experience shipping LLM-powered features.
• Strong Python and TypeScript skills.
• Experience with prompts, retrieval, tools, and agents.
• Ability to ship features end-to-end with measurable evals.

Responsibilities

• Design and ship production LLM features and agents using Python and TypeScript.
• Build the applied AI toolkit end to end: tool and function calling, RAG, vector search, structured output, prompt management, context handling.
• Work directly with foundation model APIs (Anthropic, OpenAI, Google) and open-source models where it makes sense.
• Build evaluation pipelines (Braintrust, LangSmith or custom) so quality is measurable rather than anecdotal.
• Integrate agents into existing product surfaces built in React and Next.js.
• Own cost, latency and reliability of the AI layer as first-class concerns.
• Use AI tooling (Claude, Cursor and similar) across your workflow to compress the build cycle.

Skills

Python

TypeScript

LLM integration

API integration

Back-end engineering

Tools

React

Next.js

LangSmith

OpenAI API

Anthropic API

Vector databases

Job description

Digital Waffle in New York is hiring an AI Engineer to design, build, and ship LLM-powered product features and agentic workflows into production. This is a hands-on role focused on the applied AI stack, including prompts, retrieval, tools, agents, evals, and integration with live products.

You'll work closely with product and users, implementing production-grade features using Python and TypeScript, and collaborating with frontend surfaces built in React and Next.js.