# Software Engineer II, Frontend/AI Fullstack

**Company:** [Rippling](https://hotfix.jobs/companies/rippling)
**Location:** San Francisco, CA
**Role:** Fullstack Engineering
**Salary:** $135k – $225k/yr
**Experience:** 3+ years
**Skills:** React, TypeScript, Next.js, FastAPI, Python, Postgres, Redis, LangChain, LangGraph, langsmith, LLMs, Kubernetes, Databricks, Kafka, Snowflake
**Posted:** 2026-07-22

> Growth Engineering team member building AI-native frontend experiences and full-stack LLM-powered workflows for Rippling's GTM operations. Requires 3+ years software engineering experience with strong React/TypeScript frontend skills, Python backend, and hands-on LLM/agent development using LangChain frameworks.

## Job Description

## What you will do
- Build polished frontend experiences in React and TypeScript for AI-native GTM workflows, including chat interfaces, generated artifact viewers, skill libraries, embedded tools, and data-rich account/customer views.
- Develop full-stack product features across Next.js, FastAPI, Python, PostgreSQL, Redis, and data/LLM-backed services.
- Design and improve multi-turn AI chat experiences that maintain conversation state, tool-call context, attachments, user memory, and follow-up intent across long-running GTM workflows.
- Build agentic workflows using LangChain, LangGraph, and related orchestration patterns, combining LLM reasoning with deterministic tools, structured data, retrieval, and human-in-the-loop UX.
- Instrument AI workflows with LangSmith tracing, evaluation datasets, regression tests, and quality metrics so the team can measure answer quality, tool usage, latency, cost, and failure modes over time.
- Create and maintain evals for AI-generated briefings, reports, analytics answers, HTML artifacts, and multi-turn conversations, helping the team ship model and prompt changes with confidence.
- Partner with PMs, designers, sales, RevOps, Applied AI, and data engineering to turn ambiguous GTM problems into simple, high-leverage product experiences.
- Own features end to end, from product behavior and API design to frontend polish, observability, testing, and production rollout.

## What you will need
- 3+ years of professional software engineering experience, with strong frontend experience in React and TypeScript.
- Experience building full-stack product features with modern backend frameworks, ideally Python and FastAPI or similar.
- Hands-on experience building LLM-powered products, especially multi-turn chat, agent workflows, tool calling, retrieval, structured outputs, or generated artifacts.
- Experience with LangChain, LangGraph, LangSmith, or similar AI orchestration, tracing, and evaluation frameworks.
- Ability to design and run AI evals, debug model behavior, inspect traces, improve prompts/tools, and reason about quality across multi-turn conversations.
- Strong product intuition and a high bar for UX, interaction design, frontend quality, and performance.
- Ability to reason across frontend state, backend APIs, data models, async jobs, permissions, observability, and production debugging.
- Experience working with data-rich products, internal tools, analytics workflows, CRM systems, or GTM/sales/customer-facing systems is a strong plus.
- Clear communication skills and the ability to collaborate with technical and non-technical stakeholders.
- A bias toward ownership, practical execution, and building systems that make users meaningfully faster and better at their jobs.

## Nice-to-haves
- Experience working with data-rich products, internal tools, analytics workflows, CRM systems, or GTM/sales/customer-facing systems.

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