Staff Software Engineer - AI

April 2

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Agiloft

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Agiloft is a leading provider of enterprise contract lifecycle management (CLM) solutions designed to streamline and enhance the contracting process. Their Data-first Agreement Platform is a force multiplier that helps organizations reach agreements quickly and collaboratively, leveraging data to operate smarter and more transparently. Agiloft's offerings include integration hubs and an AI platform tailored for business services, healthcare, legal professionals, and procurement. With a high customer retention rate and recognition as a leader in the Gartner Magic Quadrant for CLM, Agiloft is known for its user-friendly no-code interface and robust service and support. The company emphasizes direct relationships and trust, promising to help clients 'Agree and Thrive.

Contract Management • Customer Support • BPM • CLM • Automation

201 - 500 employees

Founded 1991

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 $45M Private Equity Round on 2020-08

📋 Description

• Agiloft helps organizations manage contract lifecycle with Data-first Agreement Platform (DAP) • Top analysts recognize Agiloft as a leader in CLM space • No code platform easily managed by business users • Supports a vibrant workplace and healthy work/life balance

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience) • Minimum 5+ years of professional experience as a software engineer, with 3+ years of applied AI/ML experience • Proven experience integrating commercial LLM APIs (OpenAI, Anthropic, or similar) into modern software applications • Strong knowledge of building cloud-native applications using serverless technologies (API Gateway, Lambda, DynamoDB or similar) • Deep understanding of AI model evaluation, prompt engineering, and RAG techniques • Strong problem-solving skills with a solid understanding of system architecture, distributed systems, and performance optimization • Familiarity with AI agent frameworks, evaluation methodologies, and benchmarking tools • Hands-on experience building RAG-based systems, working with vector databases, and AI evaluation pipelines • Excellent collaboration, teamwork, and communication skills • Eagerness to stay up to date with the latest AI advancements

🏖️ Benefits

• Support multiple Employee Resource Groups (ERGs) • Healthy work/life balance • Floating holidays • Quarterly wellness day