Worth AI
Senior Agentic (AI) Engineer
Orlando, Florida, United States · Senior
Sponsorship not specifiedDetected 68 days ago
TypeScriptPythonNode.jsDistributed SystemsPostgreSQLRedisElasticsearchRedshiftAWSKubernetesTerraformDatadogKafkaMachine LearningLLMsRAGAgentic AILLMOpsMLOpsLangGraphComplianceSystems EngineeringCollaborationUnderwriting
About the role
- Architect agent graphs in LangGraph (or comparable - CrewAI, AutoGen, Claude Agent SDK) with explicit state, durable execution, retries, and safe fallbacks.
- Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes.
Responsibilities
- Partner with security and compliance to keep agents inside SOC 2, GDPR, CCPA, and fair-lending posture - auditability and explainability built in, not bolted on.
- Agents you own meet defined SLOs for latency (P90/P99), tool-call success, and cost per task.
- Zero material incidents tied to prompt injection, PII leakage, or unsafe tool use on agents you own.
- Patterns, tools, and eval scaffolding you build get adopted across engineering.
Nice to have
- LangSmith / Langfuse / Braintrust-style tooling, DataDog
- Hands-on experience with a modern agent framework (LangGraph strongly preferred) and a track record of shipping agents that run, fail gracefully, and recover.
- Real eval experience golden sets, offline and online evaluations, used to make ship/no-ship calls.
Skills
- Expose agents to production systems via well-typed tools and MCP servers.
- Treat tool surface area as a product.
- deployed LLM workloads under real latency, cost, and reliability constraints.
- Strong Python; comfortable in TypeScript / Node.js.
- Solid systems engineering instincts APIs, async patterns, queues, databases, distributed system failure modes.
- Calibrated communicator; thrives in ambiguous, fast-moving environments.
- Prior experience in fintech, lending, payments, KYB/KYC, fraud, or AML.
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This listing is sourced directly from Worth AI's careers page and normalized into a canonical job model.