Hiring: AI/ML Software Engineer Company: Octaura Location: New York, United States Job Posted Time: 2026-09-15 20:06:45 Employment Type: Remote Target Skills & Keywords : A/B Testing, Data Pipeline, Event-Driven, Java, Kafka, LLM, MLOps, Machine Learning, Move, PostgreSQL, PyTorch, Python, RAG, REST, Redis, Redshift, Spring Boot, TensorFlow, TestNG, scikit-learn About the job Experience: •2+ years of software engineering experience with strong proficiency in Java and Spring Boot. Required Skills: •An AI Engineer at Octaura, is a software professional who develops and implements AI-powered applications by integrating trained machine learning models, APIs, and data pipelines into functional software products. You will design, build, deploy, and maintain applied machine learning systems that power critical products and workflows across our platform. This role focuses on taking AI solutions from concept through production—working with large, complex datasets and ensuring models are reliable, explainable, and performant in real-world financial environments. •You’ll partner closely with product managers, software engineers, and data teams to solve meaningful business problems, improve market efficiency, and introduce AI responsibly into mission-critical systems. Depending on experience, you may take full ownership of complex AI initiatives and help shape Octaura’s ML architecture and best practices. •This role is based out of our New York City office (5 Penn Plaza), with a hybrid schedule of four days in the office (Monday–Thursday) and one day remote (Friday). •Key Responsibilities •Design, build, and maintain production-grade backend services that power AI/ML capabilities, using Java, Spring Boot, Kafka, Redis, PostgreSQL, and Redshift. •Develop, train, evaluate, and deploy machine learning models using Python-based ML frameworks (e.g., scikit-learn, PyTorch, or TensorFlow). •Architect and implement Agentic AI systems, including multi-agent workflows, tool-use pipelines, and integration with Model Context Protocol (MCP) or similar orchestration frameworks. •Build and maintain data pipelines and feature engineering workflows to support ML training and inference. •Collaborate with data scientists, platform engineers, and product teams to translate business problems into AI/ML solutions. •Contribute to the evaluation and selection of the team's AI/ML technology stack, including frameworks for Agentic AI, LLM orchestration, and model serving. •Implement MLOps practices — including model versioning, monitoring, A/B testing, and automated retraining pipelines. •Stay current with the rapidly evolving AI/ML landscape, including large language models (LLMs), retrieval-augmented generation (RAG), and agent frameworks. •Write clean, testable, and well-documented code; participate in code reviews and foster engineering best practices. •Software Engineering •2+ years of software engineering experience with strong proficiency in Java and Spring Boot. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!