~1mo ago

Cora AI — Founding Forward Deployed Engineer

United States·San Franciscomid

OtherForward Deployed Engineer

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Quick Summary

Key Responsibilities

Python, FastAPI, React, PostgreSQL, LLMs, RAG, BigQuery, CI/CD, agent frameworks

Technical Tools

OtherForward Deployed Engineer

Responsibilities

~1 min read

→Embed with customers to learn how they run onboarding, adoption, and renewals, then identify where the agents drive the most value
→Deploy and configure agents against real customer systems — connecting to data sources (warehouses, CRM, BigQuery), wiring up SSO and integrations, and getting agents into production
→Build evals against real customer data to prove agent quality, and iterate until they clear the bar
→Partner with the go-to-market team as the technical credibility in customer conversations, helping close, activate, and expand accounts
→Debug live deployments, run root-cause analysis, and improve the platform when it gets in the way
→Own the smallest end-to-end slice that proves value, then expand from there

Tech stack: Python, FastAPI, React, PostgreSQL, LLMs, RAG, BigQuery, CI/CD, agent frameworks

Requirements

~1 min read

Roughly 2–7 years across full-stack software engineering and/or forward-deployed engineering
Either a senior profile (about 5–7 years, with a couple of years each in software engineering and in a forward-deployed / customer-facing role at a strong company or startup) or a high-slope earlier-career profile (2–3 years with standout internships, an early promotion track, or founding-engineer experience at a venture-backed startup)
A track record of shipping AI/LLM features end-to-end into production — real systems, not just prototypes
Direct experience working inside customer environments (forward-deployed, solutions engineering, or similar)
Strong Python on the backend (FastAPI) and React on the frontend
A CS or Engineering degree, or equivalent skill proven by a history of shipping production systems
Based in, or willing to relocate to, the SF Bay Area for hybrid work

Nice to Have

~1 min read

Experience building evals to measure and hill-climb LLM or agent quality
Familiarity with agent frameworks, RAG, and connecting AI systems to customer data sources and warehouses
Comfort partnering with go-to-market teams and being the technical voice in the room with customers

What We Offer

~1 min read

✓A founding role with broad ownership over product and infrastructure, and real architectural influence

✓Fast feedback loops, strong promotion potential, and deep hands-on exposure to applied AI — voice agents, memory systems, knowledge graphs, and agentic workflows

✓Competitive base plus meaningful equity at an early-stage, well-backed company with genuine enterprise traction

Salary | $180K–$230K
Equity | Competitive
On-site policy | Hybrid, SF Bay Area (~once a month in person; CEO is LA-based, so LA candidates also considered)
Visa sponsorship | No — US citizens / Green Card holders only
Employment type | Full-time
Location | SF Bay Area, CA (also San Francisco, CA and Los Angeles, CA)