> Markdown version of [/jobs/ext/4600409-senior-software-engineer-backend](https://www.wearedevelopers.com/jobs/ext/4600409-senior-software-engineer-backend). 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). --- # Senior Software Engineer, Backend - **Company:** NxT Level - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $170,000.0 - $230,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Quality, Data Integrity, Distributed Systems, PostgreSQL, MongoDB, Microsoft Copilot, Software Engineering, Large Language Models, Generative AI, Backend, Fastapi, GPT, Docker - **Published:** November 6, 2026 - **Apply:** https://www.adzuna.com/details/5701168450 ## About the Role * 7+ years of professional software engineering experience with deep backend expertise * Startup experience shipping real features in high-growth environments * Experience designing distributed systems and/or data-heavy backend architectures * Experience working with Generative AI / LLM-powered systems in production or a strong desire to learn and build in this space * Strong product mindset and comfort partnering with cross-functional teams * Ability to operate in ambiguity and move quickly without sacrificing quality * High standards for reliability, clarity, and maintainability when real users depend on your code ## Description This is a backend-heavy role for an engineer who enjoys solving real production problems: scalability, reliability, data integrity, and building practical AI-enabled workflows that directly support patient care., * Ship complex backend services using FastAPI with MongoDB and/or Postgres * Build APIs and infrastructure that interface with LLMs and Generative AI models * Leverage AI-assisted development tools (e.g., ChatGPT/Copilot-style tooling) to increase engineering velocity without sacrificing quality * Prototype MVPs quickly, then harden them into secure, scalable, reliable production systems * Improve backend architecture, observability, and code quality standards * Deploy and operate services using Docker and AWS * Collaborate with senior engineers and mentor junior developers as the team scales