IT Technology Specialist IT Service, Support and Operations | Artificial Intelligence | Artificial Intelligence ALL

Job Title: Technology Specialist - IT Service Support and Operations Artificial Intelligence Artificial Intelligence - ALL
Work Location: Bellevue WA 98007
Vendor Rate: $100/hr
Contract duration: 12months
Target Start Date: 25 Mar 2026

Overall 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 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
RAG evaluation metrics:
o Faithfulness
o Relevance
o NDCG
o MRR
Trace-level RAG evaluation (Langfuse)

Data Engineering & ETL

Prefect 2.x / 3.x
o Flows tasks futures
o Deployments (YAML)
o Scheduling
ETL/ELT design
o Schema evolution
o Query optimization
OAuth authentication
Warehouse/schema management
PostgreSQL 16/17
o psycopg 3.x
o Connection pooling
o SQLAlchemy 2.x (ORM asyncio)
o Alembic migrations
o Advanced SQL
o Multi-table JOINs
o CTEs
o Window functions
Timezone conversion
Pandas 2.x (complex multi-stage transformations)
PyArrow / columnar formats
Azure Blob Storage (azure-storage-blob)
Document ingestion/parsing:
o Docling
o Unstructured
o python-docx
o python-pptx

DevOps & Platform

Docker
Linux fundamentals

Nice-to-Haves

Ray (distributed execution)
Columnar performance tuning
Network operations domain knowledge
NOC / alarm correlation familiarity

API & Enterprise Integrations
OAuth 2.0 (client credentials flow token lifecycle)
MSAL (browser service principal flows)
Microsoft 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) Project Code :Project code for Network Apps AI develop