MLabs
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.
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
Requirements
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
Benefits
Salary: $200K - $275K
Equity: Competitive
Visa Sponsorship: Not available (U.S. citizenship required)
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 by emailing human-resources@mlabs.city.
MLabs Ltd collects and processes 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.
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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.
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
Requirements
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
Benefits
Salary: $200K - $275K
Equity: Competitive
Visa Sponsorship: Not available (U.S. citizenship required)
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 by emailing human-resources@mlabs.city.
MLabs Ltd collects and processes 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.
#J-18808-Ljbffr