Senior Software Engineer - AI Innovation

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Worth AI , a leader in AI onboarding and underwriting, is looking for a talented and experienced Senior Software Engineer - AI Innovation to join our team. At Worth AI , we are on a mission to revolutionize decision-making with the power of artificial intelligence helping fintechs, lenders, payment processors, and financial institutions onboard small businesses faster, smarter, and more confidently. We’re building the infrastructure that powers real-time KYB, KYC/IDV, underwriting, and continuous risk monitoring at enterprise scale, and the Worth Score™ our unified credit score derived from 1,200+ data points across 700M+ SMBs. As a Senior Software Engineer - AI Innovation, you won’t be wiring up demos you’ll be designing and shipping production agent systems that make consequential decisions on regulated financial data. Worth’s platform consolidates onboarding and underwriting into a single AI-powered system, and our agents read, reason over, and act on the messy, high-stakes signals that come with that domain. You’ll own the end-to-end lifecycle: architecting agent graphs, building the retrieval and tool layers they rely on, instrumenting them with evals and observability, and getting them deployed against SOC 2 / GDPR / CCPA guardrails. You’ll partner closely with our Chief AI Officer, applied scientists, product, and platform teams to turn agentic patterns into customer outcomes. Responsibilities Design and ship multi-step agentic systems (planner/executor, tool-using, multi-agent, human-in-the-loop) that automate KYB, underwriting, case review, and risk monitoring workflows. Architect agent graphs in LangGraph (or comparable frameworks CrewAI, AutoGen, Claude Agent SDK) with explicit state, durable execution, retries, and safe fallbacks. Build and harden the retrieval layer powering our agents chunking strategies, hybrid search, reranking, and grounded citation across SoS filings, IRS records, bank data, and Worth’s 700M+ SMB graph. 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. Wire agents into Worth’s production systems via well-typed tools, MCP servers, and existing services (decisioning engine, case management, crosswalking). Treat tool surface area as a product. Drive production MLOps for agents: deployment, versioning, traffic shaping, cost/latency budgets, observability (traces, token spend, tool call success), and on-call playbooks for agent incidents. Partner with security, compliance, and legal to keep agents inside Worth’s SOC 2, GDPR, CCPA, and fair-lending posture — building from day one, not bolted on. Translate ambiguous product bets (“what if the underwriter had an AI co-pilot for this?”) into concrete agent designs, prototypes, and shipped features. Mentor engineers across the org on agent patterns, prompt engineering hygiene, eval discipline, and the failure modes of LLM systems. Stay ahead of the frontier new models, frameworks, and patterns — and bring back what actually works in production. Technology Stack Languages Runtimes: Python, Node.js, TypeScript Agent / LLM frameworks: LangGraph, LangChain, Claude Agent SDK, MCP, OpenAI SDK Models: Anthropic Claude, OpenAI, open-weight (Llama, Mistral) where appropriate Retrieval Data: PostgreSQL, pgvector / vector DBs, OpenSearch, Kafka, Redshift, Redis Infra Orchestration: AWS, Kubernetes (EKS), ArgoCD, Terraform Evals Observability: LangSmith / Langfuse / Braintrust-style tooling, DataDog, custom eval harnesses Requirements 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 ra

Worth AI是AI入驻与承保领域的领导者，正在寻找一位才华横溢且经验丰富的高级软件工程师——AI创新方向，加入我们的团队。在Worth AI，我们的使命是利用人工智能的力量彻底改变决策方式，帮助金融科技公司、贷款机构、支付处理商和金融机构更快、更智能、更有信心地完成小企业入驻。我们正在构建的基础设施，支持企业级规模的实时KYB、KYC/IDV、承保和持续风险监控，以及Worth Score™——我们统一的信用评分，源自覆盖7亿+中小企业的1,200+数据点。作为高级软件工程师——AI创新方向，你不会只是搭建演示——你将设计和交付生产级智能体系统，在受监管的金融数据上做出具有重大影响的决策。Worth的平台将入驻与承保整合为单一AI驱动的系统，我们的智能体读取、推理并作用于该领域伴随而来的杂乱、高风险的信号。你将负责端到端生命周期：架构智能体图、构建它们所依赖的检索层和工具层、为其配备评估和可观测性、并在SOC 2 / GDPR / CCPA防护栏下完成部署。你将与我们的首席AI官、应用科学家、产品和平台团队紧密合作，将智能体模式转化为客户成果。职责：设计并交付多步骤智能体系统（规划器/执行器、工具使用、多智能体、人在回路），自动化KYB、承保、案件审查和风险监控工作流。在LangGraph（或可比框架CrewAI、AutoGen、Claude Agent SDK）中架构智能体图，具备显式状态、持久执行、重试和安全回退。构建并加固为我们的智能体提供支持的检索层——分块策略、混合搜索、重排序，以及跨SoS备案、IRS记录、银行数据和Worth 7亿+中小企业图谱的 grounded citation。拥有评估栈：黄金集、离线回归套件、LLM-as-judge、在线A/B和影子评估，以及针对越狱、提示注入和PII泄露的红队测试。通过类型良好的工具、MCP服务器和现有服务（决策引擎、案件管理、crosswalking）将智能体接入Worth的生产系统。将工具表面积视为产品。推动智能体的生产MLOps：部署、版本控制、流量整形、成本/延迟预算、可观测性（追踪、token支出、工具调用成功率），以及智能体事件的值班手册。与安全、合规和法律团队合作，确保智能体始终处于Worth的SOC 2、GDPR、CCPA和公平借贷姿态之内——从第一天就内置，而非事后补丁。将模糊的产品赌注（“如果承保人有一个AI副驾驶来做这个会怎样？”）转化为具体的智能体设计、原型和已交付功能。在全组织范围内指导工程师，涵盖智能体模式、提示工程卫生、评估纪律以及LLM系统的故障模式。保持在前沿——新模型、框架和模式——并将真正在生产中有效的东西带回来。技术栈：语言与运行时：Python、Node.js、TypeScript；智能体/LLM框架：LangGraph、LangChain、Claude Agent SDK、MCP、OpenAI SDK；模型：Anthropic Claude、OpenAI、开放权重模型（Llama、Mistral）在适当场景下；检索与数据：PostgreSQL、pgvector / 向量数据库、OpenSearch、Kafka、Redshift、Redis；基础设施与编排：AWS、Kubernetes（EKS）、ArgoCD、Terraform；评估与可观测性：LangSmith / Langfuse / Braintrust风格工具、DataDog、自定义评估工具。要求：8+年专业软件工程经验，其中至少2年构建生产级LLM或智能体系统（不仅仅是笔记本或演示）。扎实的软件工程经验——前端、API、异步模式、队列、数据库，以及分布式系统的故障模式。已证明在生产中拥有重大功能或子系统的所有权。已证明指导初级工程师的经验，以及

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