Senior Agentic (AI) Engineer

About the Role

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that automate KYB, underwriting, and risk decisions on regulated financial data. You will own agents end-to-end architecture, retrieval, tools, evals, and production deployment and partner closely with our Chief AI Officer, applied scientists, and platform teams.

Responsibilities

• Design and ship multi-step agentic systems (planner/executor, tool-using, multi-agent, human-in-the-loop) for onboarding, underwriting, case review, and continuous monitoring.
• Architect agent graphs in LangGraph (or comparable — CrewAI, AutoGen, Claude Agent SDK) with explicit state, durable execution, retries, and safe fallbacks.
• Build the retrieval layer powering our agents — chunking, hybrid search, reranking, and grounded citation.
• Own the eval stack: golden sets, offline regression suites, LLM-as-judge, online A/B and shadow evals, and red-teaming for jailbreaks, prompt injection, and PII leakage.
• Expose agents to production systems via well-typed tools and MCP servers. Treat tool surface area as a product.
• Drive production MLOps: deployment, versioning, traffic shaping, cost/latency budgets, tracing, and on-call playbooks for agent incidents.
• 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.
• Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes.

Technology Stack

• Languages: Python, Node.js, TypeScript
• Agent / LLM frameworks: LangGraph, LangChain, Claude Agent SDK, MCP, OpenAI SDK
• Models: Anthropic Claude, OpenAI, open-weight where appropriate
• Retrieval & Data: PostgreSQL, pgvector, OpenSearch, Kafka, Redshift, Redis
• Infra: AWS, Kubernetes (EKS), ArgoCD, Terraform
• Evals & Observability: LangSmith / Langfuse / Braintrust-style tooling, DataDog