Member of Technical Staff – AI / ML Platform Engineer

New York

Development - Back End

Permanent

Our client, an early-stage AI Software company, is hiring a Senior AI /Machine Learning Platform Engineer to join their team in New York City. The successful candidate will develop the models and infrastructure powering diagnostics and customer experience, building shared AI capabilities across voice, chat and other agent workflows while taking ownership from data processing and model development through to deployment and continuous improvement.

Responsibilities

Develop and operate machine learning infrastructure supporting search, retrieval, indexing, training, evaluation, inference and model deployment.
Build and refine models for diagnostics, fault prediction, parts selection, ranking, information extraction and customer-support automation.
Develop shared capabilities for voice and chat agents, covering context, memory, knowledge retrieval, tools, policies and continuity across channels.
Create data and feedback pipelines drawing on service histories, technical documentation, equipment data, conversations, images and repair results.
Maintain reliable distributed services, data pipelines, search systems and live inference through performance monitoring, capacity planning and failure recovery.
Design evaluation frameworks that link model accuracy and retrieval quality to customer experience and repair outcomes.
Turn conversation data, agent activity and human feedback into ongoing improvements to models and agent performance.
Strengthen engineering workflows through automated testing, CI/CD, observability, reusable infrastructure and controls for AI-generated code.
Collaborate with product engineers and domain experts to bring fast, explainable and dependable AI features into production.
Make practical architecture decisions around internal development, third-party solutions, compute, storage, model providers and open-source tools.

Skillset

At least 5 years’ professional experience in software or machine learning engineering, including delivery of production systems.
Strong coding skills in Python and TypeScript, with confidence working across models, backend systems, data platforms and cloud infrastructure.
Sound knowledge of modern search and ML systems, including retrieval, indexing, evaluation, deployment and the challenges of models running in production.
A strong understanding of distributed systems, performance tuning, reliability, observability and infrastructure costs.
Experience applying AI development tools to increase productivity while maintaining engineering standards.
The flexibility to move between research, infrastructure and product development as priorities evolve.
An interest in creating reusable AI capabilities across diagnostics, customer support and multiple communication channels.
A proactive approach, strong ownership and a focus on delivering measurable value to customers.
Experience with ranking, recommendation engines, vector or graph search, multimodal models or real-time inference is desirable.
Familiarity with ML platforms, evaluation frameworks, developer tools, GPUs, inference optimization, infrastructure as code or incident response would be an advantage.