5 months ago
Base Salary
$160k - $200k/yr
Responsibilities
- Design and build multi-agent systems that work safely with complex enterprise data, policies, and mission-critical customer data stores.
- Develop agent control loops, planning, orchestration graphs, tools, coordination, handoffs, state, and durability.
- Build safe write-back capabilities that apply agent decisions to customers’ live systems without corrupting data.
- Create evaluation cases, rubrics, measurements, and regression tests for agent quality and reliability.
- Establish engineering patterns and best practices for building agentic systems.
- Implement guardrails and model-agnostic frontier-LLM integrations with routing based on task, cost, and latency.
- Own the cost, latency, and reliability of the agent platform surface and debug nondeterministic multi-step agent failures.
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 that real users depend on, including diagnosing failures and implementing fixes.
- Strong, current Python skills; TypeScript or Go experience is a plus.
- Hands-on experience with modern agent frameworks or orchestration, tool or function calling, structured outputs, retrieval, and context or memory management.
- Strong systems-engineering fundamentals in concurrency, distributed systems, statefulness, latency, and cost at scale.
- Ability to scope, prioritize, and ship independently and make decisions amid ambiguity.
- Preferred experience includes Salesforce APIs such as Bulk 2.0, Composite, or Pub/Sub, other large enterprise data sources, founding-engineer work, or open-source agent or LLM tooling contributions.
Benefits
- Santa Clara, California office location with required in-office work on Mondays and Wednesdays.
- Base salary of $160,000-$200,000 plus equity.
Tech Stack
Categories
About LeanData
LeanData builds a SaaS revenue orchestration platform for B2B go-to-market teams, with products for routing, lead-to-account matching, scheduling, and buying-group journeys that run on Salesforce data. It sells subscriptions to enterprises to unify CRM signals and automate customer-lifecycle workflows and analytics across the revenue stack. Founded in 2012 and headquartered in Santa Clara, it counts companies such as OpenAI, NVIDIA, Uber, Snowflake, Anthropic, and DocuSign as customers.