[Hiring] Applied AI Engineer @Built In

Role Description

We are looking for an Applied AI Engineer to design and build the autonomous systems that power Built In’s product suite. Our platform already generates deep analytical insights for customers—your job is to build the Agentic Action Layer that turns those insights into outcomes. You will create multi-agent systems that don’t just surface data but take intelligent, supervised action across the major AI frontiers: ChatGPT, Google Gemini, and Perplexity.

The ideal candidate has already shipped production agentic systems and knows where orchestration frameworks help versus where they get in the way. You operate with a human-in-the-loop mindset, using agentic tooling to compress what would traditionally be a team-sized effort into individual throughput—without sacrificing reliability.

How You’ll Contribute

• Architect Agentic Systems: Design and implement production-grade agentic workflows—including Reflection, Self-Correction, Planning, and Multi-Agent Orchestration patterns.
• Operationalize Agents in Production: Own the full lifecycle from rapid prototype to production deployment, considering real-world constraints.
• Evolve Multi-Model Intelligence: Develop systems that synthesize outputs from ChatGPT, Gemini, and Perplexity.
• Build Scalable Cloud Infrastructure: Design and maintain serverless backend services using Python and AWS Lambda.
• Drive Evaluation and Quality: Build LLM-as-a-Judge evaluation frameworks and quality feedback loops.
• Collaborate Across Teams: Work closely with Software Engineers and Product Managers to integrate agentic behaviors into production frameworks.

Qualifications

• Deep experience designing and shipping autonomous systems using patterns like ReAct, Planning, Reflection, and Multi-Agent Orchestration.
• Expert-level implementation experience with frontier model APIs from OpenAI, Google, and Perplexity.
• Power user of agentic developer tools (e.g., Claude Code, Cursor, or custom agentic CLI workflows).
• Demonstrated ability to manage multiple autonomous agents across a codebase.
• Strong proficiency in Python for AI orchestration, plus working knowledge of C# / .NET.
• Practical experience deploying and operating serverless architectures on AWS.
• Experience building custom evaluation frameworks to maintain and improve agent output quality over time.

What We Value

• Be Inclusive, Always.
• Be Unreasonably Passionate.
• Be Humble.
• Stay Curious.
• Lead with Solutions.
• Own the Result.
• Do More.

Company Description

Built In is an equal employment opportunity employer. Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law.

Built In is guided by principles of diversity, equity and inclusion (DEI). We are committed to this work over the long-term, with five thriving ERG groups and a dedicated Director for HR + Inclusion overseeing our DEI roadmap.