Production is the only outcome
We do not run engagements that end at a demo. Every deliverable is something your operations team can run on Monday morning.
About
A managed AI engineering firm built for enterprise production work.
AIEngineersLabs is not an agency. We are a managed engineering firm that staffs senior pods against production milestones for enterprise clients globally — under SOC 2, HIPAA, and ISO-aligned engagements where required.
How we work
Four principles that shape every engagement.
Engineering posture, not agency posture
Architects are accountable for milestones, not hours. Weekly stakeholder reviews. Reviewable artefacts, not gantt theatre.
Honest opinions about your roadmap
We will tell you when an architecture is wrong, when a vendor is overselling, and when a project should not ship. The goal is your system in production — not the next change order.
Senior engineers only
Every pod is led by engineers with shipped production AI on their CV. No padding the team with bootcamp output.
Capability matrix
What the firm fields.
Indicative numbers across the firm. The exact pod composition for any engagement is chosen against the brief — not standing reserves.
Architects10Engagement leads, AI architecture authority
Senior engineers30+ML, data, backend, frontend
MLOps engineers8Eval pipelines, deployment, on-call
Research engineers5Fine-tuning, novel methods
What we ship
The stack, in detail.
Architectures we ship
- Production RAG (hybrid retrieval, reranking, eval gates)
- Long-running agentic systems (HITL, durable state)
- LLM integration platforms (provider routing, cost engineering)
- MLOps for AI features (continuous evals, traces, telemetry)
Stacks we run
- Cloud — AWS, Azure, GCP (architect-certified across all three)
- Models — OpenAI, Anthropic, Bedrock, Vertex, vLLM, TGI
- Vector — Qdrant, Postgres + pgvector, Pinecone, Weaviate
- Orchestration — LangGraph, OpenAI Assistants, Anthropic tool use, custom
- Observability — Langfuse, OTEL pipelines, Datadog, Honeycomb
- Languages — Python, TypeScript, Go (engagement-dependent)
Compliance frameworks
- SOC 2 Type II audits — shipped under
- HIPAA — engagements with active BAAs
- ISO 27001 — aligned delivery
- VPC-SC, region pinning, no-train guarantees, audit logging
Delivery
Global delivery.
We staff against the engagement, not a single timezone. Most pods run with overlap across two zones for handover, with a primary timezone aligned to the client’s business hours. Engagement minimums and pricing are listed on the Managed AI Pods page.
Next step
Talk to an engineer, not a salesperson.
30 minutes. No slides. Bring an architecture, a stalled roadmap, or a vendor proposal you want a second opinion on. We'll tell you what we'd do.