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    SERVICE — 001 / AGENTIC SYSTEMS

    Agentic Systems Engineering

    Agent frameworks bundled into real APIs and automations — grounded by retrieval, sharpened by fine-tuning, and run on cloud infrastructure built to stay up. The whole system, from request to response to CI/CD.

    // WHAT YOU ACTUALLY GET

    A complete, coherent stack — assembled, not stitched.

    The agent layer

    Agent orchestration & routing

    Tool / function calling

    Guardrails & validation

    Multi-step workflows

    Knowledge & retrieval

    Embeddings & vector search

    Knowledge graphs

    RAG pipelines

    Document & data ingestion

    Model engineering

    Fine-tuning

    Evaluation harnesses

    Prompt & context systems

    Infrastructure

    Postgres & data modeling

    Redis caching

    Pub/Sub & async jobs

    Kubernetes & CI/CD

    Observability & tracing

    Latency & cost tuning

    // ANATOMY OF AN AGENTIC SYSTEM

    How a request actually moves through what we build.

    01
    RequestClient / API call

    Authenticated, rate-limited

    02
    OrchestrationAgent runtime

    Plans, routes, calls tools

    03
    RetrievalVector + graph

    Grounds the model in real context

    04
    ReasoningFine-tuned model

    Decisions & generation

    05
    ActionTools & functions

    Writes, integrations, side-effects

    06
    ResponseStructured output

    Validated, traced, observable

    SHARED INFRASTRUCTURE

    Postgres

    system of record

    Redis

    cache & sessions

    Pub/Sub

    async jobs & events

    Observability

    traces, evals, alerts

    CI/CD

    test, build, ship

    // THE ENGAGEMENT

    From first call to shipped system.

    01

    Map the system

    We start with architecture, not prompts. Where data lives, what has to be reliable, and what "done" actually means.

    02

    Build the stack

    API, retrieval, models, and infrastructure assembled as one coherent system — not a notebook glued to a UI.

    03

    Harden & evaluate

    Evals, observability, and failure modes. Reliability engineering applied to non-deterministic systems.

    04

    Ship & operate

    CI/CD, monitoring, and a real maintenance path. The system goes live — and stays live.

    START SMALL

    Not sure it's even an agent problem yet?

    Begin with a fixed-scope discovery sprint. You walk away with a real architecture, a build plan, and an honest read on feasibility — yours to keep, whether or not we build it together.

    Let's build something that actually ships.

    Tell us what you're trying to build. We'll tell you straight whether — and how — agentic systems get you there.

    Start a conversation
    contact@grif.ai·Houston, TX