Description

Core Language & Architecture
• Python 3.11+
• Advanced type hints (PEP 484), static typing discipline
• Async programming (asyncio, async/await, async generators)
• aiohttp / httpx (async HTTP clients)
• Pydantic v2 (BaseModel, validation, settings management)
• Structured logging & tracing patterns
• Redis (pub/sub, TTL, async clients)
• REST API design & integration patterns
• Retry/backoff strategies (Tenacity)
• Concurrency patterns (parallel tool calls, task orchestration)
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AI / LLM / Agent Systems
• LangGraph (state machines, conditional edges, checkpointing)
• LangChain 0.3.x (LLMChain, StructuredTool, retrievers, prompt templates)
• ReAct-style agent architectures
• Tool-based agent design (40+ tool environments)
• Azure OpenAI / OpenAI APIs (GPT-4o, deployment mgmt, rate limits, token budgeting)
• Prompt engineering (few-shot, structured output, JSON mode)
• PydanticOutputParser / structured LLM responses
• Guardrails / PII redaction patterns
• Memory abstractions for agents
• Langfuse (trace instrumentation, evaluation, prompt management)
• LLM fallback chains & error recovery
• RAG prompt grounding strategies
• LLM fine-tuning
• Neural Network training & tuning
• Traditional ML models (random forest, k-means clustering, linear regression, etc.)
• MCP development and consumption

Key Skills

Education

Bachelor's degree