{"id":814074,"url":"https://alion.io/job/twgglobal-staff-full-stack-engineer-ai-engineering","title":"Staff Full-Stack Engineer, AI Engineering","company":{"id":688087,"name":"Twgglobal","domain":"twgglobal.com","url":"https://alion.io/company/twgglobal","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":95,"open_postings":5,"ghost_share":0,"stale_share":0.2,"repost_share":0,"time_to_fill_p50_days":46,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Monica, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":290000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":true,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Braintrust","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Spring Boot","optional":false},{"name":"State Management","optional":false},{"name":"Anthropic","optional":true},{"name":"Core ML","optional":true},{"name":"Edge AI","optional":true},{"name":"JavaScript","optional":true},{"name":"LangChain","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"OpenAI","optional":true},{"name":"Push Notifications","optional":true},{"name":"Redis","optional":true},{"name":"Swift","optional":true},{"name":"SwiftUI","optional":true},{"name":"Text-to-Speech","optional":true},{"name":"Whisper","optional":true}],"status":"live","first_seen_at":"2026-08-25T00:00:00Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-11-07T15:49:10Z","board_verified":true,"closed_at":null,"days_open":74,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":74},"description":"The Organization\nAt 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.\nWe 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.\nYou 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.\nAt TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses.\nThe Role\nWe're hiring a Staff Software Engineer to build agentic AI products for our clients. 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.\nYou should be comfortable moving between a Spring Boot service, a Python agent layer, and a React frontend in the same week. You should also have strong opinions about how to measure whether an agent is getting better.\nYou'll work closely with product, design, and other engineers, and you'll mentor more junior teammates.\nKey Responsibilities:\nDesign, build, and operate agent-based software that executes multi-step tasks with tools, memory, and stateful workflows using LangGraph or equivalent frameworks \nBuild 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 actionable \nLead development of React frontends with clean component architecture, sensible state management, and real performance work \nDesign and maintain backend services, REST APIs, and data models in Java (Spring Boot) and Python \nContribute to system design across multi-tenant infrastructure, auth, and async messaging \nSupport features for our iOS apps, including UI, networking, push notifications, and release management \nDrive code quality, testing discipline, and engineering standards \nMentor junior engineers and raise the bar through code review and design feedback \nRequirements\nQualifications:\n8+ years building production software at scale \nHands-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 on \nDirect 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 harnesses \nStrong React, including state management, component design, and performance \nStrong Java with Spring Boot, plus working proficiency in Python \nRelational database design (PostgreSQL preferred) \nComfort with distributed systems, async messaging, and modern service architecture \nCloud infrastructure (AWS, GCP, or Azure) and CI/CD \nBachelor's degree in CS, Engineering, or equivalent practical experience \nPreferred Qualifications:\nExperience with LangGraph specifically, or having built comparable orchestration from scratch\niOS development with Swift and SwiftUI, including App Store release experience and APNs \nMulti-provider LLM work (Anthropic, OpenAI, Google, xAI) and MCP servers or clients \nRedis Streams or similar async messaging at production scale \nMulti-tenant SaaS with non-trivial RBAC and auth \nOn-device ML on iOS (CoreML, NLContextualEmbedding) or audio pipelines (Whisper, TTS) \nPrior experience working with Palantir Foundry is a big plus \nBenefits\nWork on real-world AI applications with high-impact clients\nCollaborate with world-class data scientists, engineers, and product leaders\nFlat org structure, high trust, high autonomy\nCompetitive salary + performance-based incentives\nPosition Location\nThis is an onsite position preferred to be located in Santa Monica, CA. Relocation support can be provided to the right candidates.\nCompensation\nThe target base pay for this position is $290,000-$300,000. A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits.\nTWG is an equal opportunity employer. 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