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 Originally posted on Himalayas