> Markdown version of [/jobs/ext/2719129-software-engineer-llm-systems](https://www.wearedevelopers.com/jobs/ext/2719129-software-engineer-llm-systems). 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). --- # Software Engineer - LLM Systems - **Company:** NEWTONX INC. - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Code Review, Data Systems, Python (Programming Language), Machine Learning, Node.Js, Search Technologies, TypeScript, Web Application Frameworks, ReactJS, Large Language Models, Backend, Production Code, Free and Open-Source Software, Machine Learning Operations, Stream Processing, Docker - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/software-engineer-llm-systems-newtonx-8354484 ## About the Role Required * You write exceptional code, fast. 3-4 years of experience shipping production code in a fast-paced environment * Full-stack expertise: Moderate proficiency in React, TypeScript, and modern frontend frameworks. Backend experience with Python, Node.js, or similar * AI/ML implementation experience: Hands-on experience integrating LLMs, building with OpenAI/Anthropic APIs, or implementing ML models in production. We care more about a demonstrated eagerness to learn and an understanding of complex systems than specific years. * Cloud and infrastructure: Experience with AWS, Docker, and modern deployment practices * Quality mindset: Experience with testing, code reviews, and maintaining high code quality standards * Customer focus: Ability to translate user needs into technical solutions while maintaining engineering best practices Nice To Have * RAG systems, embeddings, semantic search * Real-time data processing or streaming architectures * Open-source contributions in AI/ML ## Description In this role, you'll own the core LLM infrastructure powering two products redefining B2B research: Hub - The central cockpit for B2B research. Build self-serve features that compress weeks into days: question * expert insight * follow-up, powered by RAG and adaptive workflows. Prime - Syndicated intelligence at scale. Architect automated systems that continuously capture expert opinions-creating longitudinal datasets and refreshable dashboards that compound in value. The technical challenge: fusing structured survey data with unstructured expert knowledge, building semantic search across proprietary corpora, and creating AI pipelines that maintain research-grade quality at scale. If you love building novel data systems that turn raw signals into defensible, high-margin products, this is where you'll do the most important work of your career. ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [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 Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Three years of putting LLMs into Software - Lessons learned](https://www.wearedevelopers.com/videos/1508-three-years-of-putting-llms-into-software-lessons-learned) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)