Leandata
Staff Engineer, Agents
2w ago
160000 –200000 USD / yearUSALeadRemotemulti-agent systemsproduction systemsorchestrationtestingevaluationmemory management
Design and ship production multi-agent systems for go-to-market autonomous agents platform.
Requirements
- 4+ years building production systems, including 2+ years shipping LLM-powered or agentic systems
- You have shipped customer-facing LLM or agent systems that real users depend on, and can explain how they failed and how you fixed them
- Strong, current Python (TypeScript or Go a plus)
- Hands-on with a modern agent framework / orchestration (e.g. LangGraph or agent SDKs), tool/function-calling, structured outputs, retrieval (RAG), and context/memory management
- Strong systems-engineering fundamentals (concurrency, distributed systems, statefulness, latency and cost at scale), plus skill debugging deep, non-deterministic failures in multi-step agent traces
- High agency: you scope, prioritize, and ship without waiting for permission
Nice to have
- Experience with Salesforce APIs (Bulk 2.0, Composite, Pub/Sub) or another large, messy enterprise data source
- MCP (Model Context Protocol), A2A, or similar tool and agent interoperability standards; the modern eval/observability stack (Promptfoo, Braintrust, Langfuse) and durable execution (Inngest, Temporal)
- Run hundreds or thousands of concurrent agent instances (serverless or function-style runtimes); multi-tenant data isolation (Postgres + RLS) and a strong security posture for holding customer data
- A founder or founding-engineer background, or contributions to open-source agent or LLM tooling
Conditions
- The salary for this role will be between $160,000 and $200,000 base, plus equity.
Other
- LeanData helps the world’s fastest-growing companies automate, simplify, and accelerate revenue.
- We are looking for a Staff Engineer to design and ship the production multi-agent systems at the core of LeanData’s new platform of autonomous agents for go-to-market teams.
- This is a Staff-level individual-contributor role with founding-level ownership. You own the orchestration, tool-integration, memory, and coordination layers that let agents reason over go-to-market data and act reliably at enterprise scale — including the evaluations that prove they work and the path that safely writes their decisions back to a customer’s live data systems.
- This role reports to the SVP of Engineering and is based in our Santa Clara, CA office. You are required to be in office Mondays and Wednesdays each week.
- Build and ship production multi-agent systems end to end: agent control loops and planning, the orchestration graphs and tools they call, and the coordination, handoffs, state, and durability across agents
- Build the safe write-back path that applies agent decisions to a customer’s live systems without corrupting data
- Evaluate everything you ship: build the eval cases, rubrics, and regression tests that prove a change made the agent better
- Design agent memory and retrieval: persistent per-account context, pre-compute, and just-in-time lookups that keep reasoning fast, cheap, and reliable across many concurrent agent instances
- Harden against adversarial data so a crafted account name or note cannot hijack the agent
- Integrate frontier LLMs behind a model-agnostic abstraction with routing by task, cost, and latency; own the cost, latency, and reliability of your surface, and create the patterns that let the team build agents faster