Senior Applied AI Engineer

Hello, We’re Built In What We’re Up To We’re building the largest platform for tech professionals globally. Monthly, millions of professionals visit BuiltIn.com from across the world. We’re the only platform they need to stay ahead of tech trends and news, develop their careers and find opportunities at companies they believe in. Our 1,800 customers include innovative companies of all sizes, from exciting startups to companies in the Fortune 100. To attract our audience of skilled professionals, they trust us to tell the stories of their cultures and share their job opportunities. This helps them hire the industry’s most sought-after professionals locally, nationally and remotely – ultimately contributing to the industry’s ability to innovate a better future. What You’ll Be a Part Of Working at Built In is the chance to help shape a fast-growing company. With venture funding of $30 million to date, we’re expanding not just our geographic footprint but our products and technology. You’ll also be a part of changing the lives of professionals like you, ambitious people with a passion for tech and love of learning. As a result, you’ll understand the impact of your work in a deeply personal, especially meaningful way. About the Role 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—to power a growing portfolio of AI-driven product capabilities. • Operationalize Agents in Production: Own the full lifecycle from rapid prototype to production deployment. Build agent systems with real-world constraints in mind: token budgets, latency targets, graceful degradation, and cost observability. • 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, ensuring agents perform efficiently at scale with proper observability. • Drive Evaluation and Quality: Build LLM-as-a-Judge evaluation frameworks, trace-based testing pipelines, and quality feedback loops that keep agent output reliable as models and prompts evolve. • Collaborate Across Teams: Work closely with Software Engineers and Product Managers to integrate agentic behaviors into production frameworks, ensuring AI systems are stateful, observable, and resilient. What You Bring • 5+ years of full-time professional software engineering experience . Internships, training programs and academic projects are valuable but don't count toward this. • Agentic systems you've shipped to production, for an employer or for customers . Patterns like ReAct, Planning, Reflection, and Multi-Agent Orchestration. You've moved agents from demo to production and dealt with the hard parts: failure ha