Platform Engineer at MLabs

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

275000.0

Posted On

16 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Platform Engineering, AI Infrastructure, APIs, Microservices, Data Pipelines, Security, Automation, Monitoring, Observability, AWS GovCloud, Collaboration, AI Model Deployment, Scalability, Reliability, Data Processing, RAG Systems

Industry

IT Services and IT Consulting

Description

Platform Engineer (Enterprise AI Infrastructure) Location: NYC (SoHo) Employment Type: Full-time Work Arrangement: On-site 5 days/week About the Role Our client is a high-growth AI company engineering the future of work by integrating artificial intelligence into enterprise operations. Their core technology powers a suite of AI-native applications, including an AI-native analytics platform and an artificial employee designed for collaborative enterprise workflows. They are seeking a Platform Engineer to build and maintain the robust infrastructure and core services that form the foundation of their AI platforms. This role is at the forefront of AI and enterprise software, requiring exceptional technical expertise to ensure high performance, scalability, and security for sensitive enterprise data. Core Responsibilities Design and maintain core infrastructure and services that form the backbone of the AI platforms, ensuring high performance, scalability, and reliability. Build and optimize underlying systems that enable seamless integration of AI models into the platform, supporting Product Engineers. Develop and maintain APIs, microservices, and data pipelines for efficient data processing, analysis, and AI model operations. Develop advanced RAG (Retrieval-Augmented Generation) systems, including optimized embeddings and indexing. Implement robust security measures and ensure compliance to protect sensitive enterprise data. Collaborate with AI researchers and data scientists to create efficient frameworks for AI model deployment and management. Continuously improve development and deployment processes, focusing on automation, monitoring, and observability. Deploy on customer networks, including specialized environments like AWS GovCloud, ensuring secure and compliant installations. Work with Product Engineers to provide necessary building blocks for creating exceptional AI-native user experiences. 5+ years of experience building platforms that support AI/ML model deployment and management in production environments. Strong background in building and scaling robust, highly available systems. Must be a U.S. citizen for this specific role. Salary: $200K - $275K Equity: Competitive Visa Sponsorship: Not available (U.S. citizenship required). Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

Responsibilities

The Platform Engineer will design and maintain the core infrastructure and services for AI platforms, ensuring high performance and scalability. They will also develop APIs and microservices, implement security measures, and collaborate with AI researchers for efficient model deployment.