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Senior Software Engineer, Agentic Search

ironcladhqSan FranciscoEngineering, Product & Design
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Salary
$180K – $200K
Job type
Full-time
Work mode
Remote
Experience
Senior · 4+ yrs
Posted
18 Sept 2026
Status
Open · checked 7d ago

About this role

Based in San Francisco, this hybrid Senior Software Engineer position focuses on developing agentic search and intelligence platforms and suits experienced engineers with a background in production search or machine learning systems. Ironclad offers this role to build enterprise-scale AI contracting solutions.

Role Overview

This hybrid role requires working from the San Francisco office on Tuesdays and Thursdays. The engineer joins the Intelligence Platform organization to develop flagship artificial intelligence capabilities, including conversational search, content understanding, and agent assistance for contract data.

Key Responsibilities

Evolve agentic search system architectures that combine retrieval systems with large language models to answer complex or ambiguous queries.
Design and execute evaluation-driven benchmarks and experiments to measure and enhance search quality.
Build and utilize natural language processing and large language model pipelines to transform raw documents into processed data for retrieval systems.
Maintain and elevate the organizational search quality bar.

Requirements

Four years of experience building production systems with practical background in search, recommendation systems, information retrieval, or content understanding at scale.
Expertise in learned or hybrid retrieval, query understanding or natural language understanding pipelines, or production large language model agent systems.
Production experience using search frameworks such as Elasticsearch, Solr, OpenSearch, or Vespa alongside embedding search, relevance tuning, and reranking.
Familiarity with multi-provider orchestration and modern large language model application programming interfaces including OpenAI, Anthropic, and Google.
Experience designing evaluation-driven workflows featuring offline benchmarks, structured comparisons, and regression detection.
Strong communication skills, deep ownership, and commitment to system reliability and scalability.

Skills and Tools

Elasticsearch
OpenSearch
Solr
Vespa
OpenAI
Anthropic
Google
Natural Language Processing
Large Language Models

Salary and Benefits

Base salary range of $180,000 to $200,000 per year, supplemented by company bonuses and equity awards.
Comprehensive health coverage including 100 percent for employees and 75 percent for dependents on medical, dental, and vision.
Paid time off, flexible leave policies, and family support programs.
Financial perks such as a 401(k) plan with employer match, pre-tax commuter benefits, and stipends for wellbeing and hybrid work.

About the Company

Ironclad builds contract lifecycle management technology utilizing a massive dataset of enterprise contracts. Recognized across industry reports such as the Forrester Wave and Gartner Magic Quadrant, the company is backed by prominent investors including Sequoia, Y Combinator, and Accel.

How to Apply

Interested candidates should submit their application through the official Ironclad careers page.

Skills and tech stack

Questions candidates ask

Where is this job located?

This position is based in San Francisco and follows a hybrid schedule with mandatory office attendance on Tuesdays and Thursdays.

What is the salary range for the role?

The base salary ranges from $180,000 to $200,000, and the compensation package also includes equity offers and company bonuses.

How many years of experience are required?

Applicants need at least four years of experience building production systems, specifically in search, information retrieval, recommendation systems, or content understanding.

What team will the engineer join?

The engineer will join the Intelligence Platform organization, which owns agent assistance, conversational search, and content understanding systems.

Ready to apply?

The application is on the official ironcladhq careers page.

Apply on company site