Senior Backend Engineer

LeapXpert

Sr. Backend Engineer at LeapXpert building AI agents runtime within a hybrid work environment.

Posted 6/27/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $145,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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The ideal candidate must demonstrate expertise in building and managing complex backend systems with a focus on agent frameworks and runtime environments. Strong capabilities in observability, error handling, and secure API design are essential for ensuring robust and compliant execution in regulated industries.

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Hard Skills

Agent Framework DevelopmentBackend Systems EngineeringDistributed InfrastructureAsync Execution PatternsSecure API DesignWorkflow OrchestrationEvent-Driven ArchitectureKnowledge GraphsError HandlingRuntime Isolation

Soft Skills

Problem SolvingCollaborationCommunicationLeadershipCritical Thinking

Tools & Technologies

TemporalClaude CodeCodexGemini CLIGRPCKafkaNeo4jOpenAI SDKLangChainAzure AI Services

Industry Keywords

Multi-Tenant DesignData IsolationAudit TrailsCompliance StandardsRegulated IndustriesPCI-DSSSOC 2

Tech Stack

Tools & technologies

AirflowAzureGRPCKafkaNeo4j

About the role

Key responsibilities & impact

A multi-tenant execution sandbox for agents with strict, provable data isolation.
The durable execution backbone on Temporal, so long-running agents survive failures, restarts, and retries.
The agent harness and SDKs: tool-calling, context, model orchestration, and the eval and guardrail loops that keep behavior safe.
MCP tool exposure and external runtime interop.
Observability and audit infrastructure for agent execution.
The failure model: error handling, resource limits, and graceful degradation.

Requirements

What you’ll need

Built an agentic framework or runtime end-to-end, from the ground up, not just used one.
You have designed the agent loop yourself: tool-calling, context management, multi-agent orchestration, eval and guardrail loops, and the failure modes specific to agents.
6+ years building backend systems or distributed infrastructure at scale.
Built SDKs or platforms that other engineers build on top of.
Production use of AI-assisted dev tools (Claude Code, Codex, Gemini CLI, or similar) across the full lifecycle: spec, build, review, and deploy validation.
Multi-tenant design with hard tenant isolation, ideally in a regulated space (financial services, healthcare).
Async and concurrent execution patterns (goroutines, async/await, thread pools).
Secure API design with authn/auth at the service boundary.
Observability and instrumentation: logging, tracing, audit trails.
Preferred Skills and Qualifications: Workflow orchestration (Temporal, Airflow, Prefect), especially agentic workflows in production.
Managed agent runtimes (Claude Managed Agents, Bedrock Agents, Google Agent Builder, Azure AI Services).
Runtime isolation and sandboxing.
Deep familiarity with agent dev kits (Google ADK, Claude Agent SDK, OpenAI SDK, LangChain, CrewAI, AutoGen) at the level of their internals, not just their APIs.
MCP or similar tool and extension systems.
gRPC or modern RPC.
Multi-provider key management; secrets and credential rotation.
Event-driven architecture (streaming, queues, event sourcing; Kafka or similar).
Knowledge graphs for grounding agents (Neo4j, or Obsidian-style linked stores).
Audit and compliance in regulated industries (PCI-DSS, SOC 2).

Benefits

Comp & perks

Great flexible healthcare plans from day one
Access to voluntary benefits, including FSA/ HSA
Supplemental Insurance
401k Employer Match
Unlimited PTO in a company that respects your time
Collaboration with driven, creative people from around the world
Opportunity to be at the forefront of tech innovation
A fiercely inclusive, unapologetically diverse environment