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Senior Agentic, AI Engineer
Location
Florida
Posted
60 days ago
Salary
0
Seniority
Senior
Job Description
Senior Agentic, AI Engineer
Worth AI
• 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.
Job 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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