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Full-Stack AI Engineer & Infrastructure Specialist for Enterprise Automation

Search - AI Chatbot · local_filter_skipped · UID ~022077425196830159095

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Job Details

Budget $70.00 - $85.00/hr
ExperienceExpert
DurationUnknown
Weekly hoursLess than 30 hrs/week
Client countryAbout the client
Proposals20 to 50
Interviewing0
Invites sent0
First seenWed, Jul 15, 2026 4:31 PM
Last seenThu, Jul 16, 2026 12:50 AM

Description

Summary Job Description: We are seeking an advanced development partner or agency to architect and deploy a secure, high-availability AI automation platform that bridges modern intelligent agents with our existing legacy infrastructure.The core of this project requires building autonomous AI agents and dynamic RAG (Retrieval-Augmented Generation) pipelines for semantic search, which must securely interface with our backend databases and legacy applications.You will lead the end-to-end development, from writing robust backend APIs and designing a responsive React JS frontend, to configuring the underlying Linux servers and automated CI/CD pipelines. Key Responsibilities: Build custom AI agents and chatbots using advanced LLM API integrations and Model Context Protocol (MCP) tooling.Develop custom web crawlers to securely ingest, index, and structure big data into high-availability databases.Modernize and migrate legacy software components (including Classic ASP, PHP, and Java) into a modern TypeScript and Node.js microservices architecture.Implement workflow automations via Zapier/Make and deeply integrate third-party systems like Salesforce, Odoo ERP, Twilio, and Stripe payments.Set up robust DevOps practices, including automated QA testing, Linux server hardening, and comprehensive monitoring/observability metrics. Required Skills & Tech Stack: AI & Automation: LLM APIs, RAG, Semantic Search, Voice/Transcription, Zapier, Make.com.Core Languages: Python, Node.js, TypeScript, PHP, Java, Classic ASP.Frontend/CMS: React JS, Modern JS Frameworks, WordPress.Data & Infrastructure: Big Data engineering, advanced web scraping, Linux/Mail server administration, VMware alternatives, CI/CD pipelines, Networking & Security.Integrations: Salesforce, Odoo, Twilio, Google Workspace APIs.Web3 (Plus): Solidity, Smart Contracts, Token operations. Project Scope & Deliverables: Size: Large-scale enterprise migration and AI upgrade.Deliverables: Fully deployed AI workflows, a modern user dashboard, migration of legacy core features, and documented DevOps infrastructure.Experience Level: Expert.Budget Strategy: Hourly or fixed-price milestone contract.

Skills

PHP Python API Machine Learning JavaScript DevOps Node.js Docker Big Data

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