Applied AI Engineer (Agentic Systems & Reputation Intelligence) - India

We're 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:

• 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 (function calling, structured outputs, streaming).
• Strong proficiency in Python for AI orchestration, plus working knowledge of C# / .NET. Built In's core platform runs on .NET.
• Practical experience deploying and operating serverless backend services on AWS (Lambda, Step Functions, EventBridge).
• Power user of agentic developer tools like Claude Code, Cursor, or custom agentic CLI workflows.
• Custom evaluation framework experience.