Senior Full-Stack Engineer, AI Engineering

At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries-including financial services, insurance, technology, media, and sports-by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role We're hiring a Senior Software Engineer to build agentic AI products across web, backend, and iOS. You'll own features end-to-end, from agent design and orchestration logic through React UIs and native mobile clients, and you'll be responsible for the evaluation systems that keep agent quality from regressing as the platform grows. You should be comfortable moving between a Spring Boot service, a Python agent layer, a React frontend, and a Swift iOS app in the same week. You should also have strong opinions about how to measure whether an agent is getting better. You'll work closely with product, design, and other engineers, and you'll mentor more junior teammates. Key Responsibilities:Design, build, and operate agent-based software that executes multi-step tasks with tools, memory, and stateful workflows using LangGraph or equivalent frameworksBuild and maintain evaluation pipelines for LLM and agent quality: offline eval suites, regression tests, tool-call and trajectory scoring, and the dashboards and tooling that make results actionableLead development of React frontends with clean component architecture, sensible state management, and real performance workDesign and maintain backend services, REST APIs, and data models in Java (Spring Boot) and PythonContribute to system design across multi-tenant infrastructure, auth, and async messagingSupport features for our native iOS app, including UI, networking, push notifications, and release managementDrive code quality, testing discipline, and engineering standardsMentor junior engineers and raise the bar through code review and design feedback Requirements5+ years building production software at scaleHands-on experience building real LLM and agent applications, not demos. You've designed tool interfaces, orchestrated multi-step workflows, handled failure modes in agent loops, and shipped something users depend onDirect experience with agent evaluation: building golden datasets, running offline evals, scoring tool calls and trajectories, and using eval results to drive prompt, model, and architecture changes. Familiarity with frameworks like Braintrust, LangSmith, Inspect, or comparable custom harnessesStrong React, including state management, component design, and performanceStrong Java with Spring Boot, plus working proficiency in PythonRelational database design (PostgreSQL preferred)Comfort with distributed systems, async messaging, and modern service architectureCloud infrastructure (AWS, GCP, or Azure) and CI/CDBachelor's degree in CS, Engineering, or equivalent practical experience Strongly Preferred:Experience with LangGraph specifically, or having built comparable orchestration from scratchiOS development with Swift and SwiftUI, including App Store release experience and APNsMulti-provider LLM work (Anthropic, OpenAI, Google, xAI) and MCP servers or clientsRedis Streams or similar async messaging at production scaleMulti-tenant SaaS with non-trivial RBAC and authOn-device ML on iOS (CoreML, NLContextualEmbedding) or audio pipelines (Whisper, TTS)Prior experience working with Palantir Foundry is a big plus BenefitsWork on real-world AI applications with high-impact clientsCollaborate with world-class data scientists, engineers, and product leadersFlat org structure, high trust, high autonomyCompetitive salary + performance-based incentives Position Location This is an onsite position preferred to be located in Santa Monica, CA, or New York, NY. Relocation support can be provided to the right candidates. Compensation The target base pay for this position is $190,000-$200,000. A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits.