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Systems Implementation Engineer

AI & Automation Solutions

Contract (30–40 hrs/week preferred)

Remote (Latin America or India) US timezone overlap helpful

Overview

We are a strategy-led technology firm working with midsize companies to design and implement

high-impact automation and analytics systems.

Our work sits at the intersection of data, operations, and applied AI. We focus on pragmatic, production-ready systems that deliver measurable business value.

We are hiring a mid-to-senior level Systems Implementation Engineer (independent IC) to expand delivery capacity and improve system reliability across engagements.

This is a hands-on engineering role working directly with the founder.

What You’ll Work On

● Backend development in Python (Flask / FastAPI / Django as appropriate)

● Building and maintaining API integrations

● Working with structured and messy operational data

● SQL-based data modeling and transformation

● Deploying applications in AWS, Azure, or GCP

● Hardening and refactoring production systems

● Supporting applied AI workflows and automation tools

● Improving documentation and deployment processes Occasional exposure to enterprise systems (ERP, CRM, internal databases).

Technical Requirements Strong experience in:

● Python (production environment)

● REST APIs

● SQL

● Data manipulation (Pandas or equivalent)

● Cloud deployment basics (AWS / Azure / GCP)

Nice to have:

● Snowflake or BigQuery

● Basic container familiarity

● Experience integrating with enterprise systems

● Exposure to applied AI tooling

We care more about sound engineering judgment and the ability to work independently than stack purity.

The Kind of Engineer Who Thrives Here You:

● Have 4–8+ years of experience in production environments

● Are comfortable working in imperfect real-world environments

● Can take loosely defined problems and move them to production

● Write clean, readable, maintainable code

● Think in systems, not just functions

● Communicate clearly about tradeoffs

● Value reliability over novelty

● Learn new platforms quickly when required

This role requires strong ownership and independent problem-solving.

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