IT Service, Support and Operations | Artificial Intelligence

APN consulting Group

Bellevue, WA

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JOB DETAILS

JOB TYPE

Contractor

SKILLS

Ada Programming Language, Application Programming Interface (API), Artificial Intelligence (AI), Authentication, Budgeting, Business Solutions, Change Management, Cloud Computing, Concurrency, Consulting, Database Design, Database Extract Transform and Load (ETL), DevOps, Docker, Error Recovery, Futures, HTTP (HyperText Transport Protocol), Incident Management, Information Technology & Information Systems, Instrumentation, JSON, Linux Operating System, MCP - Microsoft Certified Professional, Memory Hardware, Metrics, Microsoft Outlook, Microsoft Product Family, Microsoft SharePoint, Microsoft Windows Azure, Network Administration/Management, Network Operations Center, Neural Networks, Normalized Discounted Cumulative Gain (NDCG), OAuth, Object Relational Mapping (ORM), Operational Support, Pagination, Performance Tuning/Optimization, PostgreSQL, Process Improvement, Python Programming/Scripting Language, Query Analysis, Query Optimization, REST (Representational State Transfer), Redis, SQL (Structured Query Language), ServiceNow, Splunk, Technical Recruiting, Technical Support, Traffic Shaping, Typing, Warehousing, Web Browsers

LOCATION

Bellevue, WA

POSTED

30+ days ago

APN Consulting, Inc. is a progressive IT staffing and services company offering innovative business solutions to improve client business outcomes. We focus on high impact technology solutions in ServiceNow, Fullstack, Cloud & Data, and AI / ML. Due to our globally expanding service offerings we are seeking top-talent to join our teams and grow with us. Job Title: Technology Specialist - IT Service, Support and Operations | Artificial Intelligence | Artificial Intelligence - ALL Work Location: Bellevue, WA 98007 Contract duration: 12 months Experience Level : 8+ years' experience with 5+ years in AI development. PFB the technology skills required. Client : Infosys Duration : 6 Months Work Mode : Onsite Need permanent resident who can work for any employer in US 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) We are committed to fostering a diverse, inclusive, and equitable workplace where individuals from all backgrounds feel valued and empowered to contribute their unique perspectives. We strongly encourage applications from candidates of all genders, races, ethnicities, abilities, and experiences to join our team and help us build a culture of belonging.

About the Company

APN consulting Group

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