AI Platform Engineer

the yoss platform United State
Remote
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AI Summary

AI Platform Engineer responsible for building production-quality code, integrating AI agents, and extending existing applications. Requires 3+ years of experience with C#/.NET, Python, React, and TypeScript. Must have hands-on experience with at least one LLM API.

Key Highlights
90-day contract engagement with a clear path to full-time
Multi-service architecture with C#/.NET, Python, React, and TypeScript
Hands-on experience with at least one LLM API required
Key Responsibilities
Build new microservices following established patterns
Create and extend MCP tools that connect AI agents to backend data sources and business logic
Build React/TypeScript frontends for new AI-powered applications using our shared theme library
Technical Skills Required
C#/.NET Python React TypeScript LLM API ASP.NET Core Entity Framework LangGraph LangChain Multi-provider LLM abstraction Anthropic Claude OpenAI AWS Bedrock Twilio Zendesk OpenAI/Anthropic/Bedrock APIs
Benefits & Perks
Competitive pay for the region
Contract-to-hire structure lets both sides test the fit before committing
Full-time conversion: $70–85K base salary with benefits
Nice to Have
Experience with LangChain or LangGraph
Familiarity with MCP (Model Context Protocol)
AWS deployment experience (App Service, S3, RDS)

Job Description


AI Platform Engineer

Contract-to-Hire | Remote (South Georgia preferred) | $45–65/hr contract or $70–85K full-time



About This Role

We’re a small, fast-moving K-12 software company that’s built an AI platform now being used by a national staffing company backed by private equity. The platform is generating real results — automated contact center ticket resolution, AI-powered RFP document processing, and intelligent texting at scale — and our client wants to expand rapidly.

We need a another engineer who can take well-scoped tasks from our technical lead and ship production-quality code inside an existing, well-structured codebase. You won’t be designing the architecture from scratch — you’ll be building features, new services, and integrations within established patterns. Think of it as: the architect draws the blueprint, you build the house.

This is a 90-day contract engagement with a clear path to full-time if the fit is right. We strongly prefer someone in or near South Georgia / North Florida, but we’re open to fully remote for the right person.

The Tech Stack

Our platform is a multi-service architecture. Here’s what you’ll be working in:

Backend Services

C# / .NET 10 — ASP.NET Core, Entity Framework, clean architecture pattern (Domain → Application → Infrastructure → Web)

AI Engine

Python / Flask — LangGraph, LangChain, multi-provider LLM abstraction (Anthropic Claude, OpenAI, AWS Bedrock)

Frontends

React 18, TypeScript, Vite, Tailwind CSS — shared component library across all apps

Infrastructure

AWS (S3, RDS), Azure App Service, Bicep IaC, GitLab CI/CD

AI Integration

MCP (Model Context Protocol) connecting AI agents to app backends, SSE streaming, Okta SSO

APIs & Services

Twilio (SMS), Zendesk (ticket automation), OpenAI/Anthropic/Bedrock APIs


What You’ll Do

•      Build new microservices following established patterns — our existing apps are templated so spinning up a new service is scaffolding, not invention

•      Create and extend MCP tools that connect AI agents to backend data sources and business logic

•      Build React/TypeScript frontends for new AI-powered applications using our shared theme library

•      Extend Zendesk automation workflows — auto-resolving tickets, routing, AI-assisted responses

•      Write and maintain Python-based AI agents with well-defined system prompts and tool configurations

•      Work within GitLab for version control and CI/CD pipelines


What We’re Looking ForMust Have

•      3+ years building production web applications with C# / ASP.NET Core

•      Working proficiency in Python — you don’t need to be a Python expert, but you need to read and write it comfortably

•      Experience with React and TypeScript

•      Hands-on experience with at least one LLM API (OpenAI, Anthropic, Bedrock, etc.) — building real features, not just tutorials

•      Comfortable working in a small team where you ship fast and iterate


Nice to Have

•      Experience with LangChain or LangGraph

•      Familiarity with MCP (Model Context Protocol)

•      AWS deployment experience (App Service, S3, RDS)

•      Background in SaaS or multi-tenant platforms

•      Located in South Georgia, North Florida, or the Valdosta/Tifton/Albany/Tallahassee corridor


Not Required

•      ML/AI research experience — we’re building on top of models, not training them

•      Prior experience in K-12 or staffing industries

•      A computer science degree — we care about what you’ve built, not where you went to school


Why This Role Is Interesting

•      You’ll work directly with a technical lead who’s shipping AI products that are already in production and generating revenue — not a “research project” that may never see the light of day

•      The client pipeline is real and growing — this isn’t speculative, it’s a PE-backed company actively expanding their AI investment

•      Small team means high ownership — you’ll see your code in production within days, not months

•      Contract-to-hire structure lets both sides test the fit before committing

•      Competitive pay for the region, especially for in-person candidates in South Georgia


Compensation & Structure

•      Contract: $45–65/hr depending on experience, 90-day initial engagement

•      Full-time conversion: $70–85K base salary with benefits

•      In-person candidates in the Adel, GA area may receive additional preference

•      Remote candidates might need to travel to South Georgia periodically


How to Apply

Send your resume and a brief note about your experience with AI/LLM APIs to g.merwin@yossplatform.com. Bonus points if you include a link to something you’ve built — a GitHub repo, a deployed project, or even a side project that shows how you think about AI-powered applications.

  • Our process: Initial conversation → 30-minute technical screen with our lead engineer → Decision within 48 hours. We move fast.

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