Wordware (YC S24) · 6 months ago
Applied AI Engineer
San Francisco
Full-time
Onsite
Mid Level
3+ years expWordware is a web-hosted IDE focused on building AI agents using natural language. As an Applied AI Engineer, you will be responsible for developing and scaling agent systems, ensuring they are robust and efficient for production use.
Artificial Intelligence (AI)Developer APIsDeveloper Tools
No H1B
U.S. Citizen Only
Responsibilities
Building, refining, and scaling the agent systems inside Wordware — from architecture to evals to deployment
Implement multi-step, tool-using agents that hit real APIs and handle retries, auth, timeouts, and edge cases
Build RAG pipelines that support grounded answers from structured and unstructured sources
Design agent memory systems that persist relevant state across runs — e.g. scratchpads, summary buffers, embedding stores
Add determinism + replay to agents so users can trace and debug behaviors step by step
Own and evolve our eval framework — both automated checks and human-in-the-loop scoring
Qualification
Required
3+ years of engineering experience, including time shipping production software
You've built and deployed agent-like systems — multi-step LLM pipelines, tool-using bots, scripted assistants, or similar
Hands-on experience with RAG pipelines (e.g. embeddings, vector DBs, chunking strategies)
Hands-on experience with agent memory systems (e.g. scratchpads, history compression, summarization)
Hands-on experience with tool use and orchestration (e.g. calling real APIs, using plugins, auth flows)
Hands-on experience with evaluation — success metrics, regression testing, and improving agent behavior over time
You write production-grade code and can work across systems without needing a spec
You thrive in fast-paced, product-first environments where the goal is shipping
Preferred
Experience with frameworks like LangChain, CrewAI, or DSPy — or strong opinions about why you don't use them
Shipped agents that are live in the wild — used by customers, not just internal demos
Familiarity with LLM ops, tracing, observability, and failure handling
You've been a founder or early engineer and care deeply about product quality
Company
Wordware (YC S24)
Wordware was started with a simple thesis: words are the next programming language. Not software. Wordware.
2-10 employees
Funding
Current Stage
Early StageTotal Funding
$31.85MKey Investors
Spark CapitalY Combinator
2024-11-21Seed· $30M
2024-04-30Pre Seed· $0.5M
2023-01-01Pre Seed· $1.35M
Leadership Team
Robert Chandler
Founder and CTO
Recent News
globalventuring.com
2025-08-22
thesaasnews.com
2024-11-25
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