Software Engineer II, Frontend/AI Fullstack

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.