{"id":2567698,"url":"https://alion.io/job/cwan-software-development-engineer","title":"Software Development Engineer","company":{"id":1969767,"name":"CWAN","domain":"cwan.com","url":"https://alion.io/company/cwan-com","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boise, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":98000,"max_usd":194000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1351},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Edge AI","optional":false},{"name":"FastAPI","optional":false},{"name":"Java","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-09T00:00:00Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-14T23:58:29Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Clearwater Analytics is building its Generative AI engineering team, and this role sits at the center of that effort. You will design, implement, and ship LLM-powered agent tools, MCP integrations, and retrieval-augmented generation (RAG) systems that are already in production use and you will do it using AI-assisted development tools, including Claude Code, as a core part of your daily workflow. This is not exploratory AI work , it is applied engineering on real systems serving institutional investors globally. Fluency with coding assistants is not a perk here; it is a job requirement.\nResponsibilities\nBuild and maintain LLM agent pipelines, MCP integrations, and retrieval-augmented generation (RAG) systems using Python (FastAPI, LangChain) and TypeScript/React.\n\nUse AI-assisted development tools, including Claude Code, as a primary part of your engineering workflow for code generation, debugging, and iteration.\n\nCollaborate with team members to optimize and improve existing AI-powered software applications.\n\nParticipate actively in code reviews, giving and receiving clear, constructive feedback.\n\nPerform root-cause analyses for software issues and identify effective solutions.\n\nTranslate loosely defined requirements into functioning, production-ready code.\n\nAssist in the creation of user stories and estimation of work for project planning.\n\nSuggest design improvements demonstrating a solid understanding of system architecture.\n\nEnsure software applications are scalable, reliable, and secure.\n\nDocument software usage, implementation, architecture, design, and APIs.\n\nWrite broad unit and integration tests consistently.\n\nRequired Skills\nFluency with AI-assisted development tools, Claude Code specifically ,as a daily engineering practice, not an occasional experiment.\n\nHands-on experience building LLM agent tools, agentic workflows, MCP integrations, or retrieval-augmented generation (RAG) systems in a production environment.\n\nProduction proficiency in Python 3.11 (FastAPI, LangChain) and TypeScript/React , these are the core languages of this role. Java-only backgrounds are not a fit.\n\nSolid fundamentals in data structures, algorithms, and object-oriented design.\n\nEnthusiasm for building in a fast-moving, AI-native SaaS environment.\n\nStrong teamwork and communication skills , written and verbal.\n\nAbility to manage own time and deliver results on time.\n\nCommitment to continuous learning and improvement.\n\nExceptional analytical and problem-solving abilities.\n\nStrong attention to detail and documentation skills.\n\nEducation & Experience\nBachelor's degree in Computer Science or a related field.\n\n3+ years of production software development experience\n\nAt least 1 year of hands-on experience with LLM, agentic, or AI/ML systems in a production or near-production environment.\n\nWhat We Offer\nCompetitive base salary and performance-based bonus.\n\nComprehensive health, dental, and vision benefits.\n\nFlexible work arrangements, hybrid and remote options available.\n\nAccess to cutting-edge AI tools and infrastructure as part of your day-to-day work.\n\nA collaborative, high-trust engineering culture that values craft, speed, and continuous learning.\n\nEqual Opportunity Employer\nClearwater Analytics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 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