Technology Specialist - IT Service, Support and Operations
Description:
Company Description: IMCS Group is one of the fastest growing MWBE (Minority Woman Owned Enterprise) staffing firms in the U.S. We focus on bringing a Diversity Recruitment approach to Fortune 500 companies within North America and EMEA region contingent labor programs. IMCS Group excels in providing top talent in IT, Healthcare, Engineering, Finance, Light Industrial, Contact Center, and Clerical. We have offices in the US, Canada, Mexico, and India in which we can provide support to our clients.
Description: Job Title: Technology Specialist - IT Service, Support and Operations Artificial Intelligence Artificial Intelligence - ALL
Work Location: Bellevue, WA 98007
Vendor Rate: hr
Contract duration: 12
Target Start Date: 25 Mar 2026
Job Details:
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)
Minimum years of experience
8-10 years
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Langfuse trace instrumentation, evaluation, prompt management LLM fallback chains error recovery
LLM finetuning
Traditional ML models random forest, kmeans clustering, linear regression, etc.
EEOC Disclaimer: IMCS Group is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. IMCS Group is committed to maintaining an inclusive workforce, where employees are hired, retained, compensated, and promoted based on their contributions to our Company.