Shenwave  /  Services  /  AI Backend & LLM Engineering

Production AI backend systems, not prototype wrappers.

Shenwave helps product teams across Canada and the United States ship LLM integrations, moderation gates, semantic memory, image-generation workflows, payments, and security hardening on real backend systems.

Fit and engagement

Questions before a technical conversation.

What kind of AI work is a good fit?

Concrete production backend work such as LLM provider integration, moderation, memory or RAG, image pipelines, payments, security, reliability, and rollout planning.

Does Shenwave work with US teams?

Yes. Shenwave works remotely with product teams in Canada and the United States.

Does Shenwave promise a specific AI outcome?

No. Scope, risks, access, success criteria, and verification are agreed for each engagement. Shenwave does not promise unsupported product or business outcomes.

AI backend integration

For teams adding or stabilizing AI features inside an existing product. Shenwave can own provider integration, prompt routing, streaming APIs, fallback design, usage telemetry, and cost-aware backend reliability around OpenAI, Mistral, OpenRouter, Qwen, and similar providers.

  • LLM provider integration and routing
  • Usage, request-id, and cost telemetry
  • Async queues and failure isolation
  • Production rollout plans instead of hard cutovers

Moderation, memory, and image pipelines

For AI products with user-generated content, long-running conversations, or image generation. Work can include LLM moderation, fallback providers, false-positive reduction, semantic memory/RAG, and image-generation pipeline migration across model families.

  • OpenAI moderation plus fallback design
  • App-specific safety and capability gates
  • SQS-backed memory generation workflows
  • SDXL, Flux, Qwen, and compatibility-bridge migrations

Production backend rescue

For teams that need a contractor to own a painful backend problem with real production risk. Shenwave is best suited for payment bugs, webhook validation, authorization gaps, data backfills, AWS serverless debugging, secret migration, and dependency cleanup.

  • Recurring billing and provider integration bugs
  • IDOR/authz fixes and websocket ownership checks
  • Webhook bearer-token validation
  • AWS Secrets Manager and CVE-blocking dependency cleanup

Engagement model

Shenwave works remotely with teams in Canada and the United States. Best fit is hourly contract, retained engineering support, or a scoped backend/AI project with a clear technical owner.

Have an AI/backend problem that needs production ownership?

Send a few sentences about the system, the deadline, and what success looks like. We will reply with whether Shenwave is a fit and the fastest next step.