Project: Customer Support Agent
Build a production customer support agent with LangGraph — multi-agent routing, RAG, tool calling, and human-in-the-loop escalation
Project: Deep Research Agent
Build an autonomous research agent with LangGraph — plan-and-execute, multi-source search, synthesis with citations, and iterative deepening
Project: Code Assistant Agent
Build a code assistant agent with custom implementation — repo indexing, context building, multi-file editing, and test-driven iteration
Project: Data Pipeline Agent
Build a data analysis agent with LangChain — natural language to SQL, sandboxed Python execution, and automated visualization
Project: LLM Gateway & Model Router
Build the foundational infrastructure layer between agents and LLM providers — with semantic caching, circuit breaking, request hedging, and cost controls
Project: Agent Evaluation & Testing Framework
Build a production evaluation and regression testing platform for agentic AI systems — LLM-as-judge, statistical significance testing, CI/CD gating, and automated regression detection
Project: Multi-Agent Orchestration with Temporal
Build a durable multi-agent orchestration system using Temporal for fault-tolerant, long-running agent workflows with human-in-the-loop approval
Project: Production RAG Engine
Build a production-grade Retrieval-Augmented Generation engine that goes far beyond "embed, retrieve, generate." This project covers hybrid search (BM25 + semantic with reciprocal rank fusion), cross-encoder reranking, adaptive chunking, citation verification, hallucination grounding, and an evaluation-driven feedback loop. This is the most common production pattern in agentic AI and the one where Staff engineers add the most value through retrieval optimization.
Project: Real-Time Event-Driven Agent
Build a real-time event-driven agent with async Python — stream processing, stateful reasoning, anomaly detection, and graduated autonomous remediation