Applied AI Engineer for LLM System
Budget: $250 – $750 USD
Applied AI & Automation Engineer (LLM Systems Architect)About the Project
We are building an AI-powered operational system for a growing flavor & fragrance manufacturing company. The goal is to integrate AI into real business workflows — not research, but production systems that save time, reduce manual work, and support decision-making.
This role is for someone who builds working AI systems, connects them to business software, and ships usable tools.
What You Will Build
You will design and implement AI-driven systems that support:
Intelligent data intake forms (production requests, formula inputs)
Automatic generation of production instructions (PDF, structured docs)
AI-assisted document creation (spec sheets, MSDS drafts, internal forms)
Workflow automation between systems (ERP-style data flow)
Conversational AI tools for internal use
Structured data extraction from technical documents
API integrations between AI services and internal tools
Deployment of production-ready AI workflows
This is not a research role. You will build tools people actually use daily.
Core Responsibilities
Architect AI workflows using LLMs
Design structured prompt systems (reliable outputs, not chat toys)
Build backend services (FastAPI / Python preferred)
Create data pipelines between AI and business systems
Integrate APIs, webhooks, and automation platforms
Develop internal AI tools for operational teams
Ensure system reliability, version control, and maintainability
Required Skills
Experience building production LLM applications
Strong Python backend development
API integration experience (REST, webhooks, OAuth)
Prompt engineering for structured outputs
Workflow automation experience
Database knowledge (Postgres, Firebase, etc.)
Cloud deployment experience (AWS/GCP)
Nice to Have
Experience with document generation systems
Experience with speech-to-text or document parsing
Background in manufacturing, ERP, or process automation
Startup or product-building experience
We Are NOT Looking For
Pure ML researchers
Academic model trainers
Data analysts without product experience
Ideal Candidate
You have built AI systems that people use daily. You think in systems, not just models. You are comfortable connecting AI to real-world workflows and shipping working products.
Project Type
Freelance / Contract (initial 2–4 months, potential long-term)
How to Apply
Send:
Examples of AI systems you built
Description of a production LLM project
Tech stack used
Your availability
We are building an AI-powered operational system for a growing flavor & fragrance manufacturing company. The goal is to integrate AI into real business workflows — not research, but production systems that save time, reduce manual work, and support decision-making.
This role is for someone who builds working AI systems, connects them to business software, and ships usable tools.
What You Will Build
You will design and implement AI-driven systems that support:
Intelligent data intake forms (production requests, formula inputs)
Automatic generation of production instructions (PDF, structured docs)
AI-assisted document creation (spec sheets, MSDS drafts, internal forms)
Workflow automation between systems (ERP-style data flow)
Conversational AI tools for internal use
Structured data extraction from technical documents
API integrations between AI services and internal tools
Deployment of production-ready AI workflows
This is not a research role. You will build tools people actually use daily.
Core Responsibilities
Architect AI workflows using LLMs
Design structured prompt systems (reliable outputs, not chat toys)
Build backend services (FastAPI / Python preferred)
Create data pipelines between AI and business systems
Integrate APIs, webhooks, and automation platforms
Develop internal AI tools for operational teams
Ensure system reliability, version control, and maintainability
Required Skills
Experience building production LLM applications
Strong Python backend development
API integration experience (REST, webhooks, OAuth)
Prompt engineering for structured outputs
Workflow automation experience
Database knowledge (Postgres, Firebase, etc.)
Cloud deployment experience (AWS/GCP)
Nice to Have
Experience with document generation systems
Experience with speech-to-text or document parsing
Background in manufacturing, ERP, or process automation
Startup or product-building experience
We Are NOT Looking For
Pure ML researchers
Academic model trainers
Data analysts without product experience
Ideal Candidate
You have built AI systems that people use daily. You think in systems, not just models. You are comfortable connecting AI to real-world workflows and shipping working products.
Project Type
Freelance / Contract (initial 2–4 months, potential long-term)
How to Apply
Send:
Examples of AI systems you built
Description of a production LLM project
Tech stack used
Your availability