Senior Software Engineer, Agentic Search

Ironclad
San Francisco
Workplace: HybridFull timeUSD 180,000 - 220,000 annuallyFunction: Software EngineeringExperience: 4+ yearsSkills: ["Ownership","Communication","System design","Scalability mindset"]

Build agentic search and content understanding systems that help users and AI agents find and act on the right contract information at massive enterprise scale. Evolve LLM + retrieval architectures, drive eval-driven development with benchmarks and experiments, and improve search quality through relevance tuning and reranking. Turn raw documents into processed data via NLP/LLM pipelines while partnering with a team of ML and ML infrastructure engineers.

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FursaFursa
Ironclad
Ironclad
3 months ago

Senior Software Engineer, Agentic Search

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Build agentic search and content understanding systems that help users and AI agents find and act on the right contract information at massive enterprise scale. Evolve LLM + retrieval architectures, drive eval-driven development with benchmarks and experiments, and improve search quality through relevance tuning and reranking. Turn raw documents into processed data via NLP/LLM pipelines while partnering with a team of ML and ML infrastructure engineers.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Evolve agentic search systems by combining LLMs with retrieval to produce optimal answers for complex or ambiguous questions.
  • •Design and run eval-driven benchmarks and experiments to measure search quality and use results to improve the system.
  • •Contribute to the company’s search quality bar through relevance tuning and reranking.
  • •Build and use content understanding and ingestion pipelines to turn raw documents into processed data consumable by retrieval systems.
  • •Collaborate with ML and ML infrastructure engineers to operate and improve flagship agent assistant, conversational search, and content understanding systems.

Pay and Benefits

Salary: USD 180,000 - 220,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionParental LeavePaid Leave401kWellness StipendCommuter BenefitsTherapy

Key Requirements

  • •4+ years building production systems with hands-on experience in search, information retrieval, content understanding, or recommendation at meaningful scale.
  • •Expertise in learned/hybrid retrieval, query understanding/NLU pipelines, or production LLM agent systems (ideally more than one).
  • •Experience with search frameworks (Elasticsearch or equivalent such as Solr, Vespa, OpenSearch) in production, including relevance tuning and reranking.
  • •Fluency with modern LLM APIs and multi-provider orchestration (Anthropic, OpenAI, Google), including reasoning about token budgets and prompt-caching trade-offs.
  • •Experience building eval-driven workflows (offline benchmarks, regression detection, structured A/B comparisons) and strong ownership and communication.
Experience:4+ yearsAISearchInformation retrievalContent understandingRecommendation systems
Skills:OwnershipCommunicationSystem designScalability mindset
Tech Stack:LLM APIsElasticsearchSolrVespaOpenSearchRetrieval systemsVector searchRerankingNLPAnthropicOpenAIGooglePrompt cachingA/B testingBenchmarks

Company Brief

Ironclad
Provides a contract lifecycle management platform that automates contract creation, negotiation, approval, and analytics for legal and business teams. Integrates with enterprise systems to streamline contracting workflows and reduce legal bottlenecks.
Industry: LegalTech
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2014
WebsiteLinkedIn