Neuberger is looking for a curious and motivated Junior Python Developer to join our growing engineering team. You'll help build reliable, scalable server-side applications in a modern, AI-augmented development environment — leveraging cutting-edge tools to work smarter, ship cleaner code, and grow fast. If you're comfortable writing clean Python, have hands-on experience with containerized workflows, and are genuinely excited about the future of AI-assisted development, we want to hear from you. What You'll Do. Software Development. Build and implement server-side features, modules, and components in Python following clean code and best practice standards. Collaborate with product and design teams to translate business requirements into well-structured, maintainable code. Participate in code reviews — giving and receiving constructive feedback. AI-Augmented Development. Use AI coding assistants (GitHub Copilot, Claude, etc.) responsibly to accelerate development, improve code quality, and reduce repetitive boilerplate. Apply a working understanding of LL - Ms — tokenization, context windows, prompt construction, and model limitations — to integrate them sensibly. Identify the right use cases for AI tooling vs. traditional logic, and flag risks like hallucinated outputs or sensitive data exposure. Containerized & Cloud-Aware Development. Write and maintain Dockerfiles and work within containerized development environments. Apply core container concepts: images, containers, volumes, networking, and basic orchestration (Docker Compose, Kubernetes/ OpenShift)Contribute to deployable, environment-consistent application packaging. Agile Scrum. Participate in sprint planning, stand-ups, retrospectives, and reviews. Break down user stories into actionable tasks and deliver working software within sprint timelines. Maintain transparency with the team on progress, blockers, and dependencies. Quality & Testing. Write and maintain unit and integration tests to ensure reliability and regression safety. Debug and resolve defects from testing or production monitoring. Collaborate with QA to develop test cases and uphold software quality. What You Bring. Python: 3 years of hands-on experience. Frameworks: Proficiency in Flask, Fast. API, or Django. AI Tools: Working experience with GitHub Copilot, Claude, or comparable LLM-based coding assistants. LLM Awareness: Understanding of tokens, context, prompting, limitations, and responsible use. Containers: Hands-on Docker experience — build, run, and debug containerized applications. Version Control: Proficient with Git (branching, P - Rs, rebasing)Testing: Ability to write meaningful unit tests; familiarity with pytest or similar. ORM: Working knowledge of SQL - Alchemy, Django ORM, or equivalent. Bonus Points. Familiarity with Kubernetes, OpenShift, or container orchestration concepts. Exposure to cloud platforms (Azure, AWS, or GCP)Experience calling or integrating LLM APIs (OpenAI, Anthropic, Azure OpenAI)Understanding of RAG patterns or vector stores. Basic front-end literacy: JavaScript, HTML 5, CSS 3 Familiarity with server-side templating (e.g., Jinja 2)Understanding of async or multi-process architecture (asyncio, multiprocessing)Work model Location: New York City; hybrid with a minimum of two days per week in office. Neuberger is unable to offer visa sponsorship for this position. Applicants must be authorized to work in the United States without the need for current or future sponsorship.#LI-DD 2#LI-Hybrid.