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We are looking for an Applied AI Principal/Staff 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.
Job Responsibility:
Architect Agentic Systems: Design and implement production-grade agentic workflows—including Reflection, Self-Correction, Planning, and Multi-Agent Orchestration patterns—to power a growing portfolio of AI-driven product capabilities
Operationalize Agents in Production: Own the full lifecycle from rapid prototype to production deployment
Evolve Multi-Model Intelligence: Develop systems that synthesize outputs from ChatGPT, Gemini, and Perplexity to identify sentiment discrepancies, detect brand hallucinations, and surface actionable intelligence for customers
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, trace-based testing pipelines, and quality feedback loops
Collaborate Across Teams: Work closely with Software Engineers and Product Managers to integrate agentic behaviors into production frameworks
Requirements:
10 + years of 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, including function calling, structured outputs, and streaming
You are a 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: writing, testing, and auditing code with minimal manual intervention
Strong proficiency in Python for AI orchestration, plus working knowledge of C# / .NET
Practical experience deploying and operating serverless architectures on AWS (Lambda, Step Functions, EventBridge) for high-frequency, agentic workloads
Experience building custom evaluation frameworks (LLM-as-a-Judge, trace-based testing, regression suites) to maintain and improve agent output quality over time
What we offer:
Help shape intelligent systems that act autonomously in real-world environments
Be part of a product-led, engineering-driven culture
Remote-first team with collaborative, flexible work structure
Opportunities for leadership and technical ownership in AI development