Summary
✨ AI‑Generated
A senior technical leadership role building AI-powered software platforms. The position involves designing backend services, improving knowledge systems, and delivering reliable production solutions.
Highlights
Staff-level engineering role with ownership of AI platform architecture, production systems, and high-impact technical decisions.
Description
Lead Software Engineer (Staff Level) | AI Products & Platform
I’m partnering with a global technology company investing heavily in AI products for tax, accounting, and audit professionals.
This team is building tools that help professionals work through complex documents, find relevant evidence, and complete high-stakes client work with greater speed and confidence.
It’s a small, senior team with the pace and ownership of a startup, access to a large customer base, and the resources to build for real production scale.
They’re looking for a hands-on Staff Engineer to shape the platform behind these products while continuing to write production code.
What you’ll own
Design and build the backend services powering AI agents, conversations, workspaces, and document workflowsDevelop orchestration for LLMs, tool calling, MCP, and multi-step tasksImprove retrieval and knowledge systems operating across millions of documentsMake practical decisions around latency, reliability, observability, scalability, and model costLead projects from technical design through launch and ongoing operation, while mentoring engineers and influencing direction across teams
Qualifications
Recent experience designing, building, and shipping production products or platforms in a strong product, SaaS, or technology engineering organizationStaff-level technical ownership: leading complex projects end to end while continuing to write production codeStrong Python backend engineering experience, ideally with FastAPI, APIs or microservices, PostgreSQL, and AWSExperience designing distributed systems and operating them reliably at scaleHands-on experience integrating LLMs into products; experience with agents, tool calling, MCP, RAG, or retrieval is especially relevantSound judgment around performance, observability, resilience, and cost in productionAbility to mentor engineers, make clear technical tradeoffs, and influence engineering direction across teams
If you’re a hands-on Staff Engineer who wants to own a meaningful part of an AI product that professionals use in their day-to-day work, send me a message and I’ll share more details.
