Technology Specialist - IT Service, Support and Operations | Artificial Intelligence | Artificial In
Description: Job Title: Technology Specialist - IT Service, Support and Operations | Artificial Intelligence | Artificial Intelligence - ALLWork Location: Bellevue, WA 98007Vendor Rate: ***/hrContract duration: 12monthsTarget Start Date: 25 Mar 2026Overall 8+ 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 consumptionRetrieval, 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" RAG evaluation metrics:o Faithfulnesso Relevanceo NDCGo MRR" Trace-level RAG evaluation (Langfuse)Data Engineering & ETL" Prefect 2.x / 3.xo Flows, tasks, futureso Deployments (YAML)o Scheduling" ETL/ELT designo Schema evolutiono Query optimization" OAuth authentication" Warehouse/schema management" PostgreSQL 16/17o psycopg 3.xo Connection poolingo SQLAlchemy 2.x (ORM + asyncio)o Alembic migrationso Advanced SQLo Multi-table JOINso CTEso Window functions" Timezone conversion" Pandas 2.x (complex multi-stage transformations)" PyArrow / columnar formats" Azure Blob Storage (azure-storage-blob)" Document ingestion/parsing:o Doclingo Unstructuredo python-docxo python-pptxDevOps & Platform" Docker" Linux fundamentalsNice-to-Haves" Ray (distributed execution)" Columnar performance tuning" Network operations domain knowledge" NOC / alarm correlation familiarityAPI & Enterprise Integrations" OAuth 2.0 (client credentials flow, token lifecycle)" MSAL (browser + service principal flows)" Client Graph API" SharePoint" Outlook" Planner" OneDrive" Pagination" App permissions" ServiceNow REST API" Table API" Incident/change mgmt" Bulk operations" Splunk SDK" Saved searches" Async queries" Log analysis" Azure AD app registrations" IPAM / OTNA integrations (nice-to-have domain exposure)