Python Backend Engineer – AI Agents, SaaS Integrations

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Logo of Gramian Consulting

Gramian Consulting

2 - 10 employees

Founded 2025

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.

📋 Description

• Build **Python backend applications** that replicate the functionality of established SaaS platforms. • Develop REST APIs, microservices, integrations, and complete backend workflows. • Build new SaaS connectors from scratch and adapt existing integrations when required. • Perform comprehensive **backend testing and integration validation**. • Verify that connectors accurately reproduce the behavior of the systems they emulate. • Analyze software workflows and datasets to identify realistic long-horizon AI tasks. • Create representative tasks based on real-world tools, processes, and user interactions. • Conduct structured QA to validate task accuracy, realism, and completeness. • Write clear evaluation rubrics covering correct, partially correct, and insufficient outcomes. • Use **Claude Code and other AI coding agents** throughout development, testing, and validation.

🎯 Requirements

• At least **3 years of professional software engineering experience**. • Strong proficiency in **Python** and backend frameworks such as FastAPI, Flask, or Django. • Proven experience building backend applications, REST APIs, or microservices. • Hands-on experience with **Docker, Git, and basic software delivery pipelines**. • Strong practical proficiency with **Claude or Claude Code**. • Experience using AI coding assistants as part of daily software development. • Professional written and spoken **English**. • Strong knowledge of software testing, version control, and code-quality practices.

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