Senior AI SaaS development talent and rates in Energy & Utilities
Senior AI SaaS development engineers serving energy & utilities run roughly $150–$210/hr. Stack realities for this combination: Itron + Salesforce E&U Cloud + AWS IoT TwinMaker + private VPC — common integrations: Itron + Landis+Gyr AMI, Salesforce Energy & Utilities Cloud, OSI PI + GE PI System. Demand forecasting; load disaggregation; outage prediction
What AI SaaS development actually requires in 2026
2026 default: Next.js + Vercel AI SDK + LangChain/LlamaIndex on the server, OpenAI + Anthropic + Google as multi-vendor LLM routing, pgvector or Pinecone for embeddings, and observability via Langfuse or Helicone. Stripe usage-based billing with metered AI consumption per tenant. AI SaaS founders need engineers who can think in unit economics: inference cost per request, cache-hit ratio, model-tier routing for cost optimization. A senior AI engineer protects 30–40% of gross margin by routing cheap requests to GPT-4o-mini and reserving Claude Opus for the 5% that need it.