AI Implementation Engineer (Python & AWS) - Productionizing AI Systems

We are looking for a strong Python engineer to take existing AI Powered prototypes and turn them into production grade, scalable systems deployed across a multi - location business environment.

These are not greenfield projects. We already have working systems generating real business value. The challenge is turning them from “working prototypes” into reliable, maintainable, production software.

You will be working directly with a technical founder who builds fast prototypes heavily in Python, and needs an engineer who can bring structure, stability, and scalability.

What You’ll Be Working On

You will inherit and productionize systems such as

Pricing Intelligence System

Scrapes competitor pricing

Normalizes and joins against internal margin data (NetSuite)

Expanding from single product lines to full catalog coverage

Parts Intelligence / Lookup System

Cross - References OEM parts manuals with internal catalog data

Designed to help sales reps quickly identify correct parts

Call Transcription & Sales Audit System

Transcribes sales calls

Scores calls against a defined framework

Flags pricing issues (discounting, freight exceptions, missed opportunities)

Content Generation System

Converts sales call data into structured content

Blog Posts

Sales enablement material

Marketing assets

Internal training content

All Systems are currently functional but require refactoring, hardening, and proper deployment architecture.

Core Responsibilities

Refactor existing Python prototypes into production grade applications

Design and maintain AWS based deployments (Primarily EC2 based today)

Build and stabilize APIs that other internal systems depend on

Create maintainable data pipelines (Scrape → Clean → Normalize → Store → Serve)

Improve system reliability (Logging, error handling, monitoring, recovery logic)

Integrate with third party systems (Netsuite, Telephony Systems, advertising platforms external APIs)

Enure systems are scalable across multiple business units/locations

Document architecture and maintainability decisions

Required Skills

Python Engineering

Strong experience building production Python Applications (Not Scripts)

Ability to structure large codebases cleanly (modules, services separation of concerns)

Experience with

FastAPI / Flask (Or similar)

Pandas, requests, data processing workflows

Web scraping at scale, handling rate limits, proxy rotation, data normalization

Strong debugging and refactoring skills

AWS / Cloud Infrastructure

EC2 Deployment and management

Linux server administration (SSH, Services, logs, environment configuration)

Basic infrastructure practices

Environment variables

Understanding of production reliability basics

APIs & Integrations

Building and consuming REST APIs

Working with third-party systems (NetSuite experience is a strong plus)

Experience handling rate limits, retries, and unreliable external systems

Data Systems

SQL proficiency

Designing simple but robust data pipelines

Working with messy, real-world datasets from multiple sources

AI / LLM Integration

Experience using OpenAI or Anthropic APIs inside real applications

Understanding of structured outputs and prompt reliability

Familiarity with retrieval-augmented generation (RAG) concepts is a plus

Ability to integrate LLMs as components within deterministic systems (not experimental chat use)

Ideal Candidate Profile

You are likely a strong fit if you

Have built and deployed Python services in production environments

Are comfortable inheriting messy code and improving it without breaking business logic

Prefer practical engineering over theoretical architecture discussions

Can work independently without constant specification hand-holding

Understand that real-world systems are imperfect and require pragmatic solutions

Engagement Style

Direct collaboration with technical founder

Fast iteration environment

Existing working systems (you are improving, not starting from scratch)

High autonomy, high ownership

How to Apply

Please include

Relevant production Python systems you’ve built

Examples of AWS deployments you’ve managed

Experience with data-heavy or scraping-based systems

Any experience integrating APIs or AI/LLM services in production