Description review
Mid-level Backend Python Engineer
Motum · Brazil · back to the listing
HR standards
65/100
needs work
Title ↔ description
83/100
solid
Reads as
Backend Engineer
99% confident
What this role officially is
software developer — ESCO, the EU occupation classification
Software developers implement or program all kinds of software systems based on specifications and designs by using programming languages, tools, and platforms.
Also known as: application developer, application programmer, solutions developer, programmer, software specialist, application software developer
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What the listing never says
- 26 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
The listing, marked up
Remote | LatAm -
WE ARE EXCLUSIVELY CONSIDERING APPLICATIONS FROM INDIVIDUALS CURRENTLY RESIDING IN LATAM1
.
ONLY ENGLISH RESUMES WILL BE CONSIDERED
PLEASE NOTE THAT THIS ROLE REQUIRES ENGLISH PROFICIENCY 2 (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.
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 implementingAI-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
Originally posted on Himalayas
ONLY ENGLISH RESUMES WILL BE CONSIDERED
PLEASE NOTE THAT THIS ROLE REQUIRES ENGLISH PROFICIENCY 2 (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.
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 implementingAI-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
Originally posted on Himalayas