Hire a Freelance Technical Due Diligence, Codebase Audit & Hands-On Fractional CTO Programmer

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Venture capital funds, private equity acquirers, and non-technical SaaS founders frequently search to hire a freelance technical due diligence auditor, codebase reviewer & hands-on fractional CTO programmer. I am Aldian Fazrihady, a Senior Freelance Full Stac…

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Hire an AI Application Engineer: Production LLM Agents, Hybrid Graph + Vector RAG, MCP Servers & Google ADK ⚡ Book a 1-Day Engineering Sprint ($100 USD via International Card or Rp 1.000.000 via Indonesian QRIS & Bank Virtual Account): Need a senior Cloud Engineer, GCP Engineer, Backend Engineer, AI Application Engineer, or Full Stack Engineer for a focused task? Submit your requirement at https://www.aldianfazrihady.com/en-us/1-day-service/ (or /id/1-day-service/ in Bahasa Indonesia).

Moving an AI feature from a fragile prompt prototype to a deterministic, low-latency production system requires an experienced AI Application Engineer. I am Aldian Fazrihady, a Senior AI Application Engineer and Full Stack Architect who has shipped production AI platforms including Segnog (autonomous AI workspace), IchibanAI (multimodal video/audio AI pipeline), and custom enterprise RAG & agentic systems.

1. Production AI Application Engineering Capabilities

Autonomous Multi-Agent Systems (Google ADK & LangGraph): Deterministic state machines, tool-calling guardrails, human-in-the-loop approval gates, and persistent session checkpoints.
Model Context Protocol (MCP) Servers: Custom MCP servers and lazy-loaded tool schemas that connect Claude, Gemini, and OpenAI agents safely to internal PostgreSQL databases, FHIR healthcare APIs, CRMs, and cloud infrastructure.
Hybrid Graph + Vector RAG (pgvector & FalkorDB): Combining dense semantic vector retrieval with knowledge-graph traversal and reciprocal rank fusion (RRF) to eliminate hallucinations on complex domain data.
Low-Latency Structured Outputs (Gemini 2.5 Flash/Pro, Claude Sonnet, OpenAI): Enforcing strict JSON Schema / Pydantic responses with zero thinking-budget overhead for sub-second interactive UIs.

2. Sub-Second Structured JSON Feasibility & Scope Classifier Pattern

import requests

def evaluate_requirement_structured(prompt: str, api_key: str) -> list[str]:
 resp = requests.post(
 f"https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent?key={api_key}",
 json={
 "contents": [{"parts": [{"text": prompt}]}],
 "generationConfig": {
 "temperature": 0.2,
 "responseMimeType": "application/json",
 "thinkingConfig": {"thinkingBudget": 0},
 },
 },
 timeout=4.0,
 )
 resp.raise_for_status()
 return resp.json()

3. What an AI Application Engineer Can Deliver in 1 Day ($100 / Rp 1,000,000)

Build and deploy a custom Model Context Protocol (MCP) server or Google ADK agent tool connected to your API or database.
Implement a hybrid RAG ingestion and retrieval pipeline using PostgreSQL pgvector with citation tracking.
Convert an unreliable free-text LLM prompt into a schema-validated JSON extraction or classification endpoint with automated fallback handling.

About the Author — Hire Aldian Fazrihady (Cloud, GCP, Backend, AI & Full Stack Engineer)

Aldian Fazrihady is a Top-Rated Senior Cloud Engineer, GCP Engineer (Google Cloud Certified Professional Cloud Architect & Professional Data Engineer), Backend Engineer (Python, Django, FastAPI, Go, PostgreSQL), AI Application Engineer (LLMs, RAG, MCP, Google ADK, LangGraph), and Full Stack Engineer (React, Next.js, TypeScript) with 15+ years of production software engineering experience.

Hire Aldian Fazrihady on Upwork | Book 1-Day Programming Service ($100 USD / Rp 1.000.000) | View Live AI Portfolio | Portfolio Directory | Send a Direct Message

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출처: Aldianfazrihady.com

작성자: Aldian's Django Blog

원문 게시일: 2026-11-01T06:50:35Z

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