Artificial Intelligence | Artificial Intelligence - ALL

118696Job Title: Technology Specialist - IT Service, Support and Operations | Artificial Intelligence | Artificial Intelligence - ALLWork Location: Bellevue, WA 98007Duration: 12Job Details:Overall 8+ years' experience with 5+ years in AI development. PFB the technology skills required.Core Language & ArchitecturePython 3.11+Advanced type hints (PEP 484), static typing disciplineAsync programming (asyncio, async/await, async generators)aiohttp / httpx (async HTTP clients)Pydantic v2 (BaseModel, validation, settings management)Structured logging & tracing patternsRedis (pub/sub, TTL, async clients)REST API design & integration patternsRetry/backoff strategies (Tenacity)Concurrency patterns (parallel tool calls, task orchestration)AI / LLM / Agent SystemsLangGraph (state machines, conditional edges, checkpointing)LangChain 0.3.x (LLMChain, StructuredTool, retrievers, prompt templates)ReAct-style agent architecturesTool-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 responsesGuardrails / PII redaction patternsMemory abstractions for agentsLangfuse (trace instrumentation, evaluation, prompt management)LLM fallback chains & error recoveryRAG prompt grounding strategiesLLM fine-tuningNeural Network training & tuningTraditional ML models (random forest, k-means clustering, linear regression, etc.)MCP development and consumptionRetrieval, Search & RAG EngineeringVector databases (Qdrant and/or Milvus)HNSW indexing parametersFiltering strategiesEmbedding pipelines (OpenAI ada-002 or equivalent)Batch embedding & re-indexing workflowsHybrid retrieval (BM25 + semantic)Score fusion strategiesCross-encoder reranking (BAAI/bge models)FastAPI-based inference servicesLangChain retriever abstractionsRAG 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 optimizationOAuth authenticationWarehouse/schema managementPostgreSQL 16/17o psycopg 3.xo Connection poolingo SQLAlchemy 2.x (ORM + asyncio)o Alembic migrationso Advanced SQLo Multi-table JOINso CTEso Window functionsTimezone conversionPandas 2.x (complex multi-stage transformations)PyArrow / columnar formatsAzure Blob Storage (azure-storage-blob)Document ingestion/parsing:o Doclingo Unstructuredo python-docxo python-pptxDevOps & Platform• Docker• Linux fundamentalsNice-to-HavesRay (distributed execution)Columnar performance tuningNetwork operations domain knowledgeNOC / alarm correlation familiarityAPI & Enterprise IntegrationsOAuth 2.0 (client credentials flow, token lifecycle)MSAL (browser + service principal flows)Microsoft Graph APISharePointOutlookPlannerOneDrivePaginationApp permissionsServiceNow REST APITable APIIncident/change mgmtBulk operationsSplunk SDKSaved searchesAsync queriesLog analysisAzure AD app registrationsIPAM / OTNA integrations (nice-to-have domain exposure)Minimum years of experience8-10 yearsTop 3 responsibilities you would expect the Subcon to shoulder and executeLangfuse trace instrumentation, evaluation, prompt management LLM fallback chains error recoveryLLM finetuningTraditional ML models random forest, kmeans clustering, linear regression, etc.Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.