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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in designing and deploying multi-step agentic systems, with a strong focus on MLOps, evaluation methodologies, and integration of complex workflows. Proficient in mentoring engineers and translating product ideas into actionable agent designs while ensuring compliance with industry standards.
Highest-signal resume keywords
Production LLM Systems DevelopmentMLOps Deployment and ManagementLangGraph Framework ExpertiseEvent-Driven Systems ExperiencePython and TypeScript Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringAgentic Systems DesignMLOpsEvent-Driven SystemsContainerizationKubernetesLangGraphPythonTypeScriptEvaluation Methodologies
Soft Skills
Clear CommunicationMentoringOwnershipCollaborationAdaptability
Tools & Technologies
KubernetesEKSArgoCDMCP ServersDecisioning ServicesCase Management Services
Industry Keywords
SOC 2GDPRCCPARisk MonitoringFinancial Data
Tech Stack
Tools & technologiesDistributed SystemsJavaScriptKubernetesNode.jsPythonTypeScript
About the role
Key responsibilities & impact- Design and ship multi-step agentic systems for KYB, underwriting, case review, and risk monitoring workflows.
- Architect agent graphs in LangGraph or comparable frameworks with explicit state, durable execution, retries, and safe fallbacks.
- Build and harden retrieval layers using chunking strategies, hybrid search, reranking, and grounded citation across financial and business data.
- Own evaluation systems including golden sets, offline regression suites, LLM-as-judge, online A/B and shadow evaluations, and red-teaming.
- Integrate agents into production systems through typed tools, MCP servers, and existing decisioning, case management, and crosswalking services.
- Drive production MLOps including deployment, versioning, traffic shaping, cost and latency budgets, observability, and incident playbooks.
- Partner with security, compliance, and legal to maintain SOC 2, GDPR, CCPA, and fair-lending posture.
- Translate ambiguous product ideas into agent designs, prototypes, and shipped features.
- Mentor engineers on agent patterns, prompt engineering hygiene, evaluation discipline, and LLM failure modes.
- Evaluate emerging models, frameworks, and production patterns.
Requirements
What you’ll need- 8+ years of professional software engineering experience, with at least 2 years building production LLM or agentic systems (not just notebooks or demos).
- Solid software engineering experience - front-end, APIs, async patterns, queues, databases, and the failure modes of distributed systems.
- Demonstrated ownership of major features or subsystems in production.
- Demonstrated experience mentoring junior engineers and raising team quality standards.
- Demonstrated experience with event-driven systems: enrichment, retries, dead-lettering, backpressure.
- Experience managing containerized applications in Kubernetes, EKS, ArgoCD, operators, Kustomize.
- Deep, hands-on experience with at least one modern agent framework (LangGraph strongly preferred) and a track record of shipping agents that actually run, fail gracefully, and recover.
- Real experience with evals — golden sets, offline and online evaluations, and using them to make ship/no-ship calls.
- Production MLOps fluency: deploying LLM workloads under real latency, cost, and reliability constraints, and instrumenting what you ship.
- Strong proficiency in Python; comfortable in TypeScript / Node.js for integrating with Worth’s services.
- Clear, calibrated communicator — able to explain agent trade-offs to product, security, and customers without hand-waving.
- Operates with extreme ownership in ambiguous, fast-moving environments.
- Excited to work alongside a team that values “One Team”, “Extreme Ownership”, and “Create Raving Fans.”
Benefits
Comp & perks- 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