AI Systems Developer

About the Role - AI Systems Developer Our Client Our client is an innovative and rapidly growing startup backed by Tier 1 venture capital. With $60 million in funding, they are revolutionizing the operations of sales and service teams through cutting-edge AI technology. Their solution captures and analyzes real-world conversations, providing complete visibility into customer interactions without the need for traditional ride-alongs. By transforming field conversations into searchable and actionable data, they empower teams to enhance coaching, close more deals, and increase average ticket sizes. With a combination of advanced AI and expertise in field sales dynamics, they are reshaping how businesses learn from and optimize in-person customer interactions. About Us Catalyst Labs is a premier talent agency specializing in Applied AI, Machine Learning, and Data Science. We take pride in being deeply engaged in our clients' recruitment processes, collaborating closely with Founders, CTOs, and Heads of AI to drive the evolution of applied intelligence. Our commitment is to build relationships that harmonize technical skills with creative problem-solving and foster long-term career growth in the dynamic field of intelligent systems. Location: New York, NY Work Type: Full Time Compensation: Above market base + bonus + equity Key Responsibilities Design, build, and deploy production-grade machine learning systems while managing the full model lifecycle from conception to maintenance. Architect and implement AI-driven solutions for natural speech interaction and real-time audio understanding. Develop and fine-tune machine learning models focusing on audio data to extract business-critical insights from unstructured voice data. Create intelligent agents capable of effectively processing real-world audio inputs. Collaborate with cross-functional teams to establish a robust AI framework, enhance tooling, and drive innovation in large language model (LLM) and audio ML applications. Engage directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions. Oversee the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in live environments. Contribute to ongoing enhancements of the ML infrastructure and processes for scalability and performance. Qualifications Bachelor's or master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 1-6 years of professional experience in machine learning engineering. Strong programming skills in Python (TypeScript experience is a plus). Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow. Familiarity with cloud environments and infrastructure, preferably AWS. Robust understanding of data pipeline design, real-time inference, and model monitoring. Excellent communication skills to collaborate with customers and stakeholders. Core Experience Proven track record of building and deploying machine learning models in production settings. Demonstrated ability to manage the complete model lifecycle from data ingestion to deployment and monitoring. Experience with audio-centric machine learning projects or related domains involving unstructured data. Expertise in creating scalable data pipelines for model training and evaluation. Familiarity with tools and technologies such as FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus. Strong understanding of machine learning systems architecture, feature engineering, evaluation strategies, and deployment best practices.

Created: 2026-03-11