Mid-level Backend Python Engineer
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.
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
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