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# software engineer

- **Company:** NEW YORK AI CUSTOM INC.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $200,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Distributed Systems, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Pytorch, Retrieval-Augmented Generation, Large Language Models, Model Validation, Backend, Low Latency, Machine Learning Operations, Data Pipelines
- **Published:** October 15, 2026
- **Apply:** https://www.juju.com/job/2_163284828

## About the Role

* A strong software engineering background with excellent coding fundamentals
 * Professional experience building production systems, ideally within AI/ML-heavy environments
 * Demonstrated ownership - you've taken difficult problems, figured out what needed to happen and driven them through to completion
 * Experience working with modern machine learning or AI technologies
 * Strong problem-solving ability and comfort operating with ambiguity
 * An engineering mindset that values both experimentation and production quality
 * Interest in working closely with highly technical, fast-moving teams
 * Openness to hybrid or onsite work in New York City

## Description

* Build and ship production-grade AI and ML systems
 * Own technically challenging problems from initial idea through deployment and iteration
 * Develop robust software and infrastructure around modern AI models
 * Work across the stack where needed, from model integration and evaluation to APIs, backend systems and production infrastructure
 * Improve the reliability, scalability, latency and performance of AI-powered products
 * Collaborate closely with researchers, product teams, founders and other engineers
 * Move quickly in environments where requirements can be ambiguous and individual ownership matters, Specific technologies vary by opportunity, but we're particularly interested in engineers with experience across areas such as:
 * Python
 * PyTorch / JAX / TensorFlow
 * LLMs and generative AI
 * RAG, agents and model evaluation
 * APIs and backend systems
 * Cloud infrastructure
 * Distributed systems and ML infrastructure
 * Data pipelines and production ML systems