Senior Agentic, AI Engineer
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Job Description
Senior Agentic AI Engineer building production agents for Worth AI’s regulated-finance automation. Owning retrieval, evaluations, tools, MLOps, and compliant deployment.
Responsibilities:
- 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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