Base Salary
$220k - $270k/yr
Responsibilities
- Own and evolve agentic search architecture combining LLMs and retrieval for complex and ambiguous contract questions.
- Design and run benchmarks, experiments, regression detection, and structured A/B comparisons to drive search-quality improvements.
- Define and influence the company’s search-quality standards.
- Build and use NLP/LLM models and ingestion pipelines that convert raw documents into data usable by retrieval systems.
- Set architectural and technical direction for engineers across the AI organization and mentor senior engineers.
- Partner with product, applied science, and engineering leaders to turn ambiguous problems into measurable shipped improvements.
Requirements
- 10+ years of experience building production systems, with substantial experience in search, information retrieval, content understanding, or recommendation systems at meaningful scale.
- Deep experience in learned or hybrid retrieval, query-understanding/NLU pipelines, or production LLM agent systems, ideally across more than one area.
- Production experience with Elasticsearch or equivalent search frameworks such as Solr, Vespa, or OpenSearch, including relevance tuning and reranking.
- Fluency with modern LLM APIs and multi-provider orchestration using Anthropic, OpenAI, and Google, including token budgets, tool-calling semantics, and prompt-caching trade-offs.
- Experience building evaluation-driven workflows with offline benchmarks, regression detection, and structured A/B comparison.
- Strong autonomy, ownership, cross-team technical leadership, mentoring, and architectural decision-making.
- Hands-on experience with post-training algorithms and infrastructure, including SFT and RL, is preferred.
- Experience with content understanding or information retrieval in structured-document-heavy domains is preferred.
- Experience building RAG systems across Google Docs, PDFs, DOCX, or other document formats is preferred.
Benefits
- 100% health coverage for employees and 75% coverage for dependents, with buy-up plan options.
- Gender-neutral parental leave, compassionate leave, and family-forming support through Maven.
- Paid time off and monthly stipends for wellbeing, hybrid work, and applicable cell-phone use.
- Mental health support through Modern Health, including therapy, coaching, and digital tools.
- Pre-tax commuter benefits and a 401(k) plan with Fidelity and employer match for US employees.
- Regular team events and opportunities for career growth and development.
- The role is based at Ironclad’s San Francisco headquarters and includes hybrid-work support.
Tech Stack
Categories
About Ironclad
Business runs on contracts. Every dollar earned, relationship formed, and advantage gained comes down to the agreement that makes it real. But getting contracts done is more complicated than it should be—and when contract data is buried, leaders can't see risk or act in time. Ironclad is the AI contracting platform that changes that. Contracts are easy and insightful, agents push work forward, and you stay in control. Whether you're buying or selling, one intelligent platform unifies the entire contract lifecycle and gives leaders the visibility to stay one step ahead. Trusted by Associated Press, Rivian, Salesforce, L'Oréal, and Notion. Recognized by Forrester, Gartner, and IDC as a category leader. Backed by Accel, Sequoia, Y Combinator, BOND, and Franklin Templeton. → www.ironclad.ai