
AI Engineer for Agent Deployment and Productionization
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£300(approx. $401)
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PPH TOP Web Developer | Digital Marketing (SEO, Social Media Management, Facebook/Instagram Ads, Google Ads)|WordPress, Shopify, Wix, e-commerce, | Video Editing

♛ PPH No. #1 ✔ AI Automations ♛ 12 Years of Experience in Web & Mobile Development & Designing ✔ Magento ✔ Shopify ✔ WordPress ✔ API Integration ✔ React Native ✔ AngularJS / Node.js


Web Developer & UI/UX Designer | E-commerce strategist , Landing Pages & Mobile Apps
AI Engineer | Machine Learning |Full-Stack Web Developer| Computer Vision | Generative AI
130441292809196107498301331088119824271306523311700051145721912119380134275441224529813062895
Description
Experience Level: Expert
We are a small business providing notary, apostille, e‑commerce, and AI automation services. We need an experienced AI engineer to build, deploy, and hand over production AI agents that integrate with hosted inference or lightweight local inference. The deliverable is production‑ready code, deployment scripts, documentation, and a short training session.
Scope of Work
Build and deploy an Operations Agent that automates client intake, document tracking, and status notifications.
Integrate agent with email, Google Drive, Stripe, and calendar (or equivalent).
Use open‑source models or hosted endpoints (examples: Qwen, Llama 3.x, DeepSeek variants) and an agent framework (AutoGen, LangGraph, or similar).
Provide CI/test scripts, security controls, and deployment instructions.
Success Metrics
Agent completes client intake flow end‑to‑end with < 5% failure rate on test inputs.
Response latency under 3s for hosted calls; under 10s for local CPU inference on test hardware.
Automated test suite with ≥ 90% pass rate on acceptance tests.
Deliverables
Source code in a Git repo with clear README.
Deployment scripts (Docker/compose, or cloud infra IaC).
Integration connectors for email, Drive, Stripe, calendar.
Test suite and sample test data.
Security and data handling document.
60–90 minute handover call and short video walkthrough.
Scope of Work
Build and deploy an Operations Agent that automates client intake, document tracking, and status notifications.
Integrate agent with email, Google Drive, Stripe, and calendar (or equivalent).
Use open‑source models or hosted endpoints (examples: Qwen, Llama 3.x, DeepSeek variants) and an agent framework (AutoGen, LangGraph, or similar).
Provide CI/test scripts, security controls, and deployment instructions.
Success Metrics
Agent completes client intake flow end‑to‑end with < 5% failure rate on test inputs.
Response latency under 3s for hosted calls; under 10s for local CPU inference on test hardware.
Automated test suite with ≥ 90% pass rate on acceptance tests.
Deliverables
Source code in a Git repo with clear README.
Deployment scripts (Docker/compose, or cloud infra IaC).
Integration connectors for email, Drive, Stripe, calendar.
Test suite and sample test data.
Security and data handling document.
60–90 minute handover call and short video walkthrough.
Doris L.
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Last project
8 Jun 2026
United Kingdom
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Will the agent be working with structured intake forms only, or will it also need to process unstructured client emails and uploaded documents as part of the workflow?
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