Senior Agentic, AI Engineer

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🔥 0 minutes ago

🐊 Florida – Remote

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⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

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Logo of Worth AI

Worth AI

11 - 50 employees

💼 Consulting

🛡️ Insurance

🤖 Artificial Intelligence

Consulting • Insurance • Artificial Intelligence

Worth AI is a company that specializes in enhancing financial security and risk management through advanced AI-driven solutions. Their platform offers a suite of tools designed for seamless onboarding, compliance, and credit risk assessment. They help banks, fintech companies, and credit unions streamline operations by automating processes such as KYC/KYB compliance, reputation monitoring, and automated credit underwriting. Worth AI's technology provides real-time risk monitoring, predictive analytics, and AI-generated insights to improve decision-making, safeguard institutions, and boost revenue. Key offerings include Worth Score™, an AI-driven credit score solution, and unique AI underwriting systems that enhance the accuracy and efficiency of financial assessments.

📋 Description

• Design and ship multi-step agentic systems for onboarding, underwriting, case review, and continuous monitoring • Architect agent graphs in LangGraph or comparable frameworks with explicit state, durable execution, retries, and safe fallbacks • Build the retrieval layer powering agents, including chunking, hybrid search, reranking, and grounded citation • Own the evaluation stack, including golden sets, offline regression suites, LLM-as-judge, online A/B and shadow evaluations, and red-teaming • Expose agents to production systems via well-typed tools and MCP servers • Drive production MLOps, including deployment, versioning, traffic shaping, cost and latency budgets, tracing, and on-call playbooks • Partner with security and compliance to maintain SOC 2, GDPR, CCPA, and fair-lending posture with auditability and explainability • Mentor engineers on agent patterns, prompt hygiene, evaluation discipline, and LLM failure modes • Improve agent task success, grounding accuracy, reliability, velocity, and risk posture • Travel to Orlando, Florida at least twice per year for Town Halls and team collaboration, in addition to orientation in Orlando

🎯 Requirements

• 5+ years of software engineering experience, with 2+ years building production LLM or agentic systems (not just notebooks or demos) • Hands-on experience with a modern agent framework (LangGraph strongly preferred) and a track record of shipping agents that run, fail gracefully, and recover • Strong RAG fundamentals: chunking, embeddings, hybrid retrieval, reranking, grounding — and judgment about when RAG isn’t the right answer • Real eval experience: golden sets, offline and online evaluations, used to make ship/no-ship calls • Production MLOps fluency: 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 • Experience building MCP servers or other structured tool interfaces for LLMs • Background in classical ML (ranking, scoring, calibration) • Experience designing explainable / auditable AI workflows for regulated environments • Open-source contributions to agent frameworks, eval tooling, or retrieval libraries • AWS depth (EKS, MSK, RDS, S3, Lambda) and IaC with Terraform

🏖️ Benefits

• Health Care Plan (Medical, Dental & Vision) • Retirement Plan (401k, IRA) • Life Insurance • Flexible Paid Time Off • 9 paid Holidays • Family Leave • Remote • Hybrid work (for Orlando Associates) • Free Food & Snacks (Orlando) • Wellness Resources

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