: Rapidly synthesizing client pain points into concise problem statements, success metrics, and guardrails. Evaluate... into our internal asset library. Mentor junior practitioners on prompt engineering, token-cost governance, and evaluation...
(cost, latency, token usage, quality metrics;App Insights/OpenTelemetry). Partner with product, security, and data teams...
management, token-scoped identities, certificate rotation, and workload identity policies. Develop logging and monitoring... metrics, traces, logs, health checks, SLOs/SLIs, and operational dashboards. Improve reliability using circuit breakers...
reliability patterns Demonstrated use of observability stacks (metrics/logging/traces), capacity/performance testing, resiliency... by design (authn/authz, token/claims, encryption in transit/at rest), managing data concerns, and meeting audit/traceability...
across multiple user flows. Develops a transparent AI usage and monetization model, including automated tracking for token usage... with internal stakeholders to identify value-driving metrics and communicate data and AI impact across the organization...
activities, token upkeep, and comprehensive metadata management Utilize the Microsoft Power Platform to design, implement... to accuracy and detail, taking full ownership of project deliverables and performance metrics Adapt proactively to shifting...
and ship features Improve observability for AI features (logging, metrics, cost tracking) Stay current on AI/document..., integration, performance, and smoke testing Experience monitoring and optimizing system performance (latency, throughput, token...
, on/offramps, cross-chain stablecoin orchestration, token checkout, and other blockchain primitives through simple, developer.... Strong fluency in funnel metrics, attribution modeling, CAC/LTV, and performance optimization. Hands-on experience with HubSpot...
such as authentication errors (OAuth/token issues), payload/schema mismatches, rate-limits, and vendor outages. Implement and maintain.... Proactively identify bottlenecks, scaling constraints, and reliability risks before they impact end users. Establish key metrics...
evaluation pipelines and benchmarks for LLM-based features: Offline metrics (accuracy, relevance, latency, cost) Human...., small vs. large models, Google vs. OpenAI) Prompt/token optimization and caching strategies. Collaboration, Documentation...