Senior Full-Stack Engineer (Python ,Django)

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client looking for a backend-heavy engineer to architect the infrastructure that turns vague human intent into precise, autonomous agent actions.

The product leverages AI to automate development workflows and dramatically increase R&D productivity. Already in production with active customers, the team is now scaling both the technology and impact.

Key Requirements:
🔹 7+ Years Experience: Deep expertise in engineering high-stakes software;
🔹 Scale-Tested: 3+ years on a customer-facing team. Proven track record of delivering complex features for production systems and solving high-impact bugs in mature environments;
🔹 Stack: Expert Python (Django preferred), proficient React;
🔹 Cloud & DevOps: Experience with AWS and CI/CD pipelines;
🔹 Databases: Strong knowledge of MySQL (or equivalent relational DBs); experience with graph and vector databases is a plus;
🔹 AI Native: Power user of Claude and Cursor; comfortable leveraging AI tools in daily workflows;
🔹 Agent Expert: Proven experience building AI agents in production; able to move beyond basic prompts to create reliable, deterministic agentic systems;
🔹 API & Testing: Skilled in building and consuming APIs; experience with automated testing frameworks (e.g., PyTest);
🔹 Frontend: Solid understanding of JavaScript/TypeScript and modern frontend frameworks;
🔹 English – Upper-Intermediate or higher.

What you will do:
🔹 Orchestrate: Develop production-grade AI agent workflows that manage their own validation loops;
🔹 Architect: Build Python services that bridge the gap between high-level requirements and technical execution;
🔹 Streamline: Create systems that allow developers to manage a fleet of autonomous workstreams, eliminating the manual coordination that stalls modern R&D;
🔹 Customer Impact: Rapidly address customer feedback by fixing bugs and implementing new requirements, ranging from small UI tweaks to complex backend features;
🔹 Feature Development: Design and deliver new capabilities for the platform, especially deep AI-driven features and integrations with customer systems;
🔹 End-to-End Ownership: Take full responsibility for tasks from initial concept through to production deployment, including testing and validation;
🔹 Collaboration: Communicate directly with customers as needed to understand their needs, present solutions, and gather feedback;
🔹 Product Mindset: Actively participate in product discussions, propose improvements, and help shape the direction of the platform;
🔹 Proactive Problem Solving: Identify potential issues and opportunities for improvement before they become bottlenecks;

Interview stages:
🔹 HR Interview;
🔹 Technical Discussion ;
🔹 Practical Session ;
🔹 Team Fit Conversation ;
🔹 Final Review;
🔹 Reference Check;
🔹 Offer;