Mid-level Backend Python Engineer
At Motum · São Paulo, Brazil
- Engineering
- Full-time
- Mid-level
Where you can work from
Open to Brazil
“São Paulo, Brazil”
From the location.
Working hours
US hours
“Work Hours: 9am to 5pm PST (40 hrs per week)”
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- First seen by us
- 15 October 2026
- Last checked
- 8 hours ago
Job description
From Motum’s job post, as they wrote it.
Remote | LatAm - WE ARE EXCLUSIVELY CONSIDERING APPLICATIONS FROM INDIVIDUALS CURRENTLY RESIDING IN LATAM.
ONLY ENGLISH RESUMES WILL BE CONSIDERED
PLEASE NOTE THAT THIS ROLE REQUIRES ENGLISH PROFICIENCY (C1-C2 LEVEL)
START DATE: ASAP
This role is ideal for back end developers who want to grow their career into AI-driven development.
About Motum
Motum connects experienced developers, engineers, and technical professionals with US companies building committed, long-term tech teams. Our roles are fully remote and full-time, designed for people who want real ownership, meaningful work, and the opportunity to grow inside US-based dynamic teams.
Read the full description
About the Role
We are looking for a mid-level Backend Python Engineer who is excited to transition into the world of Artificial Intelligence.
This role is built around a simple idea: great backend engineers can become great AI engineers with the right training and real-world exposure. Instead of requiring prior AI experience, we invest in it.
You will join as a backend Python engineer and go through a structured, hands-on training program focused on applied AI. This includes working with modern LLMs, automation frameworks, and real-world AI workflows. The goal is to quickly bridge the gap between traditional backend development and production-ready AI systems.
After this initial ramp-up, you will work on designing and implementing AI-powered solutions for our client, a mid-sized accounting firm in the US.
If you enjoy automating manual processes, improving efficiency, and introducing practical AI into everyday accounting operations, this job is for you!
Responsibilities
* Build and maintain Python backend services and APIs using frameworks like FastAPI or Flask, supporting AI-powered features
* Design and implement automation workflows leveraging LLMs (e.g., OpenAI API), orchestration tools like LangChain, and third-party integrations
* Process and structure data from sources such as PDFs, spreadsheets, and financial systems using tools like Pandas and document parsing libraries
* Collaborate with product and client-facing teams to translate accounting workflows into scalable solutions, including prompt design and retrieval-based systems (RAG)
* Monitor, debug, and optimize production systems, including async tasks (Celery/Redis), API performance, and the reliability of AI-generated outputs
Requirements
* 3+ years of experience with Python, building and maintaining backend systems in production environments
* Strong understanding of API design and integration (REST, third-party services, webhooks)
* Experience working with data processing and transformation (e.g., JSON, CSVs, ETL workflows)
* Familiarity with databases (PostgreSQL, MySQL, or similar)
* Solid software engineering fundamentals: clean code, testing, Git, and code reviews
* Experience debugging and maintaining production systems
* AI-Adjacent Experience (Strongly Preferred)
* Exposure to AI/ML concepts, LLMs, or tools like OpenAI APIs or LangChain
* Experience building automation workflows or integrating external APIs
* Familiarity with asynchronous processing, background jobs, or queues
* Experience working with unstructured data (documents, PDFs, text processing)
* Basic understanding of prompting, embeddings, or retrieval systems
Additional Information
* $2,500-$3,500/month (depending on experience)
* Fully Remote
* Work Hours: 9am to 5pm PST (40 hrs per week)
* Contract Type: Independent contractor
Why Join Us
* Long-term position with growth opportunities
* Transition into AI without needing prior deep AI experience
* Work on real-world AI implementations from early on
* Develop expertise in automation, LLMs, and applied AI systems
* Have a direct impact on the adaptation of AI and automation at a growing company
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