Description
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