2 months ago
Base Salary
$160k - $200k/yr
Responsibilities
- Build and ship production multi-agent systems, including control loops, planning, orchestration graphs, tools, coordination, handoffs, state, and durability.
- Build a safe write-back path for applying agent decisions to customers’ live systems without corrupting data.
- Create evaluation cases, rubrics, and regression tests to measure and improve agent performance.
- Design persistent per-account agent memory, pre-computation, and just-in-time retrieval for fast, reliable reasoning across concurrent instances.
- Protect agents from adversarial data that could hijack their behavior.
- Integrate frontier LLMs behind a model-agnostic abstraction with routing based on task, cost, and latency.
- Own the cost, latency, and reliability of the agent platform surface and establish reusable patterns for faster agent development.
Requirements
- At least 4 years of experience building production systems, including at least 2 years shipping LLM-powered or agentic systems.
- Experience shipping customer-facing LLM or agent systems used by real users, including diagnosing failures and implementing fixes.
- Strong current Python skills; TypeScript or Go is a plus.
- Hands-on experience with modern agent frameworks or orchestration, tool or function calling, structured outputs, retrieval/RAG, and context or memory management.
- Strong systems-engineering fundamentals in concurrency, distributed systems, statefulness, latency, and cost at scale.
- Ability to debug deep, nondeterministic failures in multi-step agent traces.
- High-agency approach to scoping, prioritizing, and shipping work independently.
- Bonus: Salesforce APIs, including Bulk 2.0, Composite, or Pub/Sub, or another large enterprise data source.
- Bonus: MCP, A2A, or similar interoperability standards; Promptfoo, Braintrust, or Langfuse; and Inngest or Temporal.
- Bonus: experience running hundreds or thousands of concurrent agent instances, multi-tenant data isolation with PostgreSQL and RLS, or maintaining a strong customer-data security posture.
- Bonus: founder or founding-engineer experience or contributions to open-source agent or LLM tooling.
Benefits
- Equity is included in addition to base salary.
- The role is based in the Santa Clara, California office.
- Required in-office attendance is Mondays and Wednesdays each week.
Tech Stack
Categories
About LeanData
Help your teams align to your customer’s journey by uniting your CRM data, signals, and tools from the first buying signal to closed-won and beyond. LeanData delivers accurate and actionable data and insights to automate even the most sophisticated customer lifecycle motions including: Buying groups ABX Post-Sales Speed to Lead Increase efficiency, capture more revenue and deliver better customer experiences: LeanData is the execution engine behind your GTM strategy. Check out the 1,000+ Enterprise and Commercial Leaders that use LeanData to maximize their revenue teams: https://www.leandata.com/featured-customers/