{"id":29142,"url":"https://alion.io/job/ironclad-senior-software-engineer-ai-squad-team","title":"Senior Software Engineer, Agentic Search","company":{"id":7915,"name":"Ironclad","domain":"ironcladapp.com","url":"https://alion.io/company/ironclad","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":94,"open_postings":9,"ghost_share":0,"stale_share":0.222,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"ElasticSearch","optional":false},{"name":"LLM","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenSearch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Reranking","optional":false},{"name":"Vespa","optional":false}],"status":"live","first_seen_at":"2026-06-18T22:58:40Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-29T20:34:01Z","board_verified":true,"closed_at":null,"days_open":132,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":132},"description":"Build AI contracting at enterprise scale. Ship it fast.\nIronclad is building AI on one of the most consequential datasets in enterprise software: over 2 billion contracts across thousands of the world's largest organizations. Contracts run every dollar, deal, and business relationship on the planet, and the AI transformation of this space is still largely uncharted. Engineers here are building agentic solutions to problems that haven't been solved yet, in a category that's still being defined. The feedback loop is short, the data is rich, and the people closest to the work are the ones deciding what gets built next. That ability to deliver impact quickly is why the the companies at the forefront of AI choose Ironclad to manage their contracts.\nWe’re consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work, and one of Fast Company’s Most Innovative Workplaces. Ironclad has also been named to Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On. We’re backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more information, visit www.ironcladapp.com or follow us on LinkedIn.\nThis is a hybrid role. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events.\nAbout the team\nAt Intelligence Platform org, we own Ironclad's Agent Assistant, Conversational Search, and Content Understanding - the systems that help users and AI agents understand, find and act on the right contract information. These are the flagship AI capabilities of our product.\nThe team is a mix of ML and ML infrastructure engineers who build and operate these systems together.\nWhat you'll work on\nAgentic search systems: Evolve the architecture that combines LLM and retrieval system to produce optimal answer for complex or ambiguous questions.\n\nEval-driven development: Design and run the benchmarks and experiments that measure search quality, and use that feedback to improve the system.\n\nSearch quality: Contribute to the company's search quality bar.\n\nContent understanding & ingestion: turn raw documents into processed data that can be consumed by retrieval systems, by building/using NLP/LLM models and pipelines\n\nWho we're looking for\n4 years experience building production systems, with hands-on experience in search, information retrieval, content understanding or recommendation systems at meaningful scale.\n\nDemonstrated expertise in one of: learned/hybrid retrieval (lexical + vector + reranking), query understanding/NLU pipelines, or production LLM agent systems - ideally more than one.\n\nExperience with search frameworks (Elasticsearch or equivalent - Solr, Vespa, OpenSearch; embedding search) in production, including relevance tuning and reranking.\n\nFluency with modern LLM APIs and multi-provider orchestration (Anthropic, OpenAI, Google) - reasoning about token budgets, provider-specific tool-calling semantics, and prompt-caching trade-offs.\n\nExperience building eval-driven workflow - offline benchmarks, regression detection, structured A/B comparison - as opposed to shipping and hoping.\n\nStrong ownership and communication.\n\nCare deeply about system scalability, reliability, and right design patterns.\n\nComfortable operating in a dynamic, fast-paced and outcome-driven environment.\n\nBase Salary Range: $180,000 - $200,000 offers company bonus\nThe base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.\nUS Full-Time Employee Benefits at Ironclad:\n100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options available\n\nMarket-leading leave policies, including gender-neutral parental leave and compassionate leave\n\nFamily forming support through Maven for you and your partner\n\nPaid time off - take the time you need, when you need it\n\nMonthly stipends for wellbeing, hybrid work, and (if applicable) cell phone use\n\nMental health support through Modern Health, including therapy, coaching, and digital tools\n\nPre-tax commuter benefits (US Employees)\n\n401(k) plan with Fidelity with employer match (US Employees)\n\nRegular team events to connect, recharge, and have fun\n\nAnd most importantly: the opportunity to help build the company you want to work at\n\n**UK Employee-specific benefits are included on our UK job postings\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","description_format":"text","description_chars":5217,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Company events","Equity","Hybrid work","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Document Management","Digital Signature","Legal AI","Legal 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