




Summary: As a Middle Backend Engineer, you will build and maintain infrastructure for AI agents processing real energy data, connecting LLMs and live data sources into production systems. Highlights: 1. Build AI-native systems from the ground up with direct product impact 2. High ownership in an early-stage, genuinely hard domain problem 3. Collaborate with cross-functional teams to translate business problems **About us** AgileEngine is an Inc. 5000 company that creates award\-winning software for Fortune 500 brands and trailblazing startups across 17\+ industries. We rank among the leaders in areas like application development and AI/ML, and our people\-first culture has earned us multiple Best Place to Work awards. If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! **About the role** As a **Middle Backend Engineer**, you’ll build the infrastructure that lets AI agents read, reason, and act on real energy data — connecting LLMs, APIs, and live data sources into production systems that run 24/7\. High ownership, early stage, genuinely hard domain problem. If you want to build AI\-native systems from the ground up with direct product impact, this is for you. **What you will do** * Build production backend systems connecting LLMs and coding agents with data and product APIs; * Design and deploy microservices using Python and optionally TypeScript; * Develop data connectors to external portals and public data sources; * Design backend infrastructure enabling AI agents to operate across data systems; * Ensure performance, scalability, and reliability of backend systems; * Implement observability and CI/CD pipelines for monitoring and maintenance; * Collaborate with cross\-functional teams to translate business problems into technical solutions. **Must haves** * **2\+ years of experience** building backend systems using **Python** and frameworks such as **FastAPI**; * Experience with **Google Cloud Platform (GCP)**; * Experience owning **backend services end\-to\-end (APIs, integrations, deployments, monitoring)**; * Strong skills in **debugging and problem\-solving**; * Experience working with **LLMs and AI tools (LangChain, OpenAI APIs, or similar)**; * Ability to rapidly prototype and iterate solutions; * Ability to work independently and manage priorities; * Strong communication skills across technical and business stakeholders; * Comfort working in fast\-paced environments; * Upper\-intermediate English level. **Nice to haves** * Experience with **Infrastructure as Code (Terraform)**; * Experience in **energy, fintech, or automation domains**; * Experience with **AWS**. **Perks and benefits** * **Professional growth:** Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. * **Competitive compensation:** We match your ever\-growing skills, talent, and contributions with competitive USD\-based compensation and budgets for education, fitness, and team activities. * **A selection of exciting projects:** Join projects with modern solutions development and top\-tier clients that include Fortune 500 enterprises and leading product brands. * **Flextime:** Tailor your schedule for an optimal work\-life balance, by having the options of working from home and going to the office, whatever makes you the happiest and most productive. Job Type: Full\-time Work Location: Remote


