Mid-level Backend Python Engineer

About the job Mid-level Backend Python Engineer

This role is ideal for back end developers who want togrow their careerinto 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 Engineerwho 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 enjoyautomating 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

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