Key skills
PythonAIMLLLMOpenAIRAGLangChainLangGraphQdrantMilvusReactFastAPIAzurePub/SubRedisREST APIBudgeting
About this role
AI/LLM Engineer
Bellevue, WA 98007 (100% Onsite Job from Day-1)
06-12 Months
Job Details:
Overall 12-15+ years experience with 5+ years in AI development. PFB the technology skills required.
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)
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
Retrieval, Search & RAG Engineering
Vector databases (Qdrant and/or Milvus)
HNSW indexing parameters
Filtering strategies
Embedding pipelines (OpenAI ada-002 or equivalent)
Batch embedding & re-indexing workflows
Hybrid retrieval (BM25 + semantic)
Score fusion strategies
Cross-encoder reranking (BAAI/bge models)
FastAPI-based inference services
LangChain retriever abstractions.
Amer Ali - Lead Recruiter
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