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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Backend Engineer - AI Services in United - **Company:** Energy Jobline - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Computing Platforms, Microsoft Azure, Software as a Service, Continuous Integration, Software Debugging, Decision Support Systems, Linux, Python (Programming Language), Machine Learning, Standard Sql, Systems Integration, Feature Store, LangChain, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Backend, Agentic-AI, Fastapi, AI Platforms, Kubernetes, Machine Learning Operations, Software Version Control - **Published:** October 2, 2026 - **Apply:** https://www.energyjobline.com/job/lead-backend-engineer-ai-services-united-31816465 ## About the Role * Must be legally authorized to work in the U.S. without employer sponsorship, \n * Must be able to work collaboratively, efficiently, and effectively with a geographically distributed team. \n * 15+ years of experience designing and implementing production SaaS applications, including \n modernizing and extending existing production software platforms while introducing new, * Strong backend engineering skills, including experience with server-side Java and a strong, * Demonstrated experience designing and implementing scalable architectures for AI-enabled, * Demonstrated experience integrating machine learning and generative AI capabilities into \n commercial products and customer-facing applications. \n * Experience working across research/prototype and production environments, and making \n architectural tradeoffs between speed of experimentation, scalability, reliability, security, and \n maintainability. \n * Working knowledge of: Python, FastAPI, MLflow, LangChain or similar orchestration frameworks, vector databases, Retrieval-Augmented (RAG), LLM APIs, model serving, feature stores, ML pipelines, prompt engineering, and agentic workflows. \n * Experience with basic SQL and a basic understanding of the , plus demonstrated ability to design, develop, and implement data centric platform technologies. \n * Experience implementing, enhancing, or maintaining business intelligence, analytics or decision support platforms. \n * Strong software engineering fundamentals including testing, CI/CD, monitoring, security, and \n source control. \n * Experience deploying critical production systems to a Linux environment. \n * Experience working or integrating with systems in deployed on cloud platforms (AWS, Azure, or GCP). \n * Demonstrated technical judgment when evaluating build vs. buy decisions, emerging \n technologies, and architectural tradeoffs. \n * Demonstrated ability to design, develop, and implement data centric platform technologies. \n * High level of debugging and problem-solving skills, with an emphasis on solving all parts of the \n problem from start to finish. \n * Experience working with Data Science teams to design and implement proof-of-concept \n infrastructure and pipelines to support experimentation lifecycle . \n * Ability to work independently within a small team on multiple complex initiatives in a fast-paced environment with a desire to work on evolutionary projects while integrating into an existing codebase. \n * Excellent organizational, documentation, and communication skills, with demonstrated ability to clearly articulate business and technical challenges, evaluate solution options, communicate \n tradeoffs, and offer recommendations to stakeholders. ## Description improve program integrity, strengthen oversight, and improve health outcomes. Our configurable SaaS analytics and workflow solutions empower agency leaders with actionable insights that improve the lives of the individuals they serve. Our mission is to deliver innovative technology that helps these agencies make faster, smarter, and more informed decisions. We are a privately held company that values curiosity, serving customers, collaboration, and innovation. ## Related Videos - [Build your backend using FastAPI](https://www.wearedevelopers.com/videos/506-build-your-backend-using-fastapi) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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