Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A San Francisco-based, remote-first technology company is building a new state of trust for global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners, particularly in cybersecurity, privacy, and financial audits.
The organization develops software for professionals who enable trust between businesses and is backed by leading investment firms and technology investors. More than 50 of the top 100 accounting and consulting firms rely on its platform to support mission-critical work.
The organization is developing AI-powered solutions designed to handle complex audit and advisory workflows while maintaining the reliability, transparency, and quality required for professional and enterprise environments.
What You’ll Own
Build and Ship AI Agents
- Design and build agentic systems that automate complex audit workflows from end to end.
- Translate customer problems into concrete agent behaviors and orchestration logic.
- Orchestrate LLMs, tools, retrieval systems, and business logic into reliable, production-grade agent experiences.
- Own AI agents throughout their lifecycle, including delivery, reliability, performance, and observability.
Execute with AI-Native Leverage
- Use AI to accelerate design, development, testing, and iteration cycles.
- Prototype quickly and then harden systems for enterprise-grade reliability.
- Build evaluation frameworks, feedback loops, and guardrails that continuously improve agent performance.
- Design prompts, retrieval pipelines, and orchestration logic that perform reliably at scale.
Drive Product Impact
- Make clear decisions about what to build, reduce, or deprioritize based on customer value.
- Partner with Product and Design teams to define capabilities that deliver meaningful customer outcomes.
- Remain closely connected to customer workflows and prioritize the highest-impact problems.
- Identify capability gaps and proactively remove obstacles to team progress.
Mentor and Multiply the Team
- Raise engineering quality through code reviews, design feedback, and collaborative pairing.
- Develop reusable abstractions, patterns, and tooling that improve engineering velocity.
- Share technical learnings across the team and establish effective engineering best practices.
- Mentor engineers and contribute to a culture of continuous improvement.
Who You Are
The ideal candidate is a strong software engineer who has developed their capabilities for an AI-native technology environment and demonstrates the following qualities:
- Bias to Building: Moves quickly and resolves uncertainty by creating and shipping working solutions.
- AI-Native Instincts: Treats LLMs, agents, and automation as fundamental building blocks for modern software.
- Strong Product Judgment: Understands what matters to customers and why, rather than focusing only on implementation.
- Learning Velocity: Learns quickly from feedback and uses data to continuously adjust and improve solutions.
- Grounded Optimism: Focuses on improving current systems while pursuing opportunities for future innovation.
- End-to-End Ownership: Understands production systems and takes responsibility for measurable outcomes.
Experience
The organization values capability and trajectory more than a specific number of years on a resume. Strong candidates will typically have:
- 3–6+ years of experience shipping production software in complex, real-world systems.
- Strong proficiency in TypeScript, Python, and PostgreSQL.
- Experience shipping LLM-powered features that serve real production traffic.
- Experience building retrieval pipelines and agent orchestration systems.
- Experience implementing evaluation frameworks for model outputs and agent behavior.
- Hands-on experience with vector databases, embedding models, and Retrieval-Augmented Generation (RAG) architectures.
- Experience working with modern LLM APIs, including OpenAI, Gemini, and Anthropic.
- Experience with modern AI agent frameworks and development tools.
- Ability to work effectively in ambiguous environments and take ownership of outcomes.
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals globally.
- No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
- No Client Relationship: This company is not a client of SpringCube unless stated.
- To Apply: Click the Apply button to be redirected to the hiring company’s application page for this job.
- No Liability: SpringCube is not liable for inaccuracies.
