> Markdown version of [/jobs/ext/2814777-backend-engineer](https://www.wearedevelopers.com/jobs/ext/2814777-backend-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Backend Engineer - **Company:** ActAI Inc - **Location:** Austin, TX, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Debugging, Distributed Systems, Python (Programming Language), Node.Js, NoSQL, Open Source Technology, Standard Sql, Data Logging, Pytorch, Large Language Models, Backend, Kubernetes, Docker - **Published:** September 10, 2026 - **Apply:** https://portal.procomservices.com/jobs?jobId=cf5e0544-74c5-45b8-8845-7094ee79be09 ## About the Role * Strong backend engineering fundamentals in production environments. * Experience running high-throughput, low-latency services. * Familiarity with AI inference patterns (LLMs, embeddings, multimodal). * Comfortable debugging distributed systems under load. * Bias toward shipping and learning from production behavior. Nice-to-Have Skills: * Experience with Python and NodeJs. * Familiarity with Pytorch and open-source LLMs. * Knowledge of SQL & noSQL databases. * Experience with Kubernetes and Docker. * Strong communication and teamwork skills. ## Description As a Backend Engineer, AI, you will be responsible for owning the inference and orchestration layer that powers every AI interaction in the product. You will build and operate production systems that turn model capability into fast, stable, observable APIs used across mobile and desktop clients., * Build and operate backend systems that serve AI-powered features in production. * Design inference pipelines, orchestration layers, and service boundaries around models. * Own production concerns: monitoring, logging, alerting, and incident response. * Optimize latency and throughput across inference, caching, batching, and streaming. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Stop using Node.js like in 2020! What changed and what you can do today with Node.js](https://www.wearedevelopers.com/videos/100011-stop-using-node-js-like-in-2020-what-changed-and-what-you-can-do-today-with-node-js) - [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) - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)