Alldus International Consulting Ltd
Senior Full Stack Engineer (MLOPs & Backend)
Alldus International Consulting Ltd, New York, New York, us, 10261
Our client, an exciting HealthTech company, are hiring a Senior Full Stack Engineer to join the team in New York. The successful candidate will play a key part in designing and building the backend systems that drive their AI-powered patient engagement platform, as well as lead engineering initiatives to create scalable infrastructure and deploy machine learning solutions that deliver real-time impact on patient outcomes.
If you want to know about the requirements for this role, read on for all the relevant information. Responsibilities Develop and maintain scalable backend services and APIs that support the AI-driven platform.
Design and manage infrastructure for deploying and monitoring LLM-based applications.
Partner with ML engineers to integrate conversational AI and predictive models.
Lead the architecture of a flexible backend system that grows with data and product demands.
Establish and manage CI/CD pipelines, automated testing and deployment processes.
Write secure, efficient and maintainable code in line with engineering best practices.
Create reusable components and libraries to streamline development workflows.
Leverage cloud services (GCP, Azure, AWS) to build scalable and cost-effective infrastructure.
Conduct code reviews and help define engineering standards.
Identify, troubleshoot, and resolve system performance and reliability issues.
Skillset At least 5 years of experience in full stack development, with a minimum of 2 years in a senior engineering role.
Proven ability to build early-stage products from concept to launch, and scale them successfully.
Proficient in Node.js, Python, React, Express and relational database technologies.
Practical experience or strong enthusiasm for integrating LLMs into production environments.
Expertise in designing scalable and maintainable system architectures.
Solid understanding of Clean Code principles, test-driven development (TDD), and CI/CD workflows.
Familiarity with Docker, Kubernetes, and modern DevOps practices.
Knowledge of AI/ML deployment workflows, A/B testing frameworks, and monitoring tools.
Demonstrated leadership in driving engineering projects to successful delivery.
Industry experience in healthcare technology is a bonus.
Benefits Salary: $160k – $175k
Equity.
Remote and flexible working options.
Health, dental and retirement package.
53475
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If you want to know about the requirements for this role, read on for all the relevant information. Responsibilities Develop and maintain scalable backend services and APIs that support the AI-driven platform.
Design and manage infrastructure for deploying and monitoring LLM-based applications.
Partner with ML engineers to integrate conversational AI and predictive models.
Lead the architecture of a flexible backend system that grows with data and product demands.
Establish and manage CI/CD pipelines, automated testing and deployment processes.
Write secure, efficient and maintainable code in line with engineering best practices.
Create reusable components and libraries to streamline development workflows.
Leverage cloud services (GCP, Azure, AWS) to build scalable and cost-effective infrastructure.
Conduct code reviews and help define engineering standards.
Identify, troubleshoot, and resolve system performance and reliability issues.
Skillset At least 5 years of experience in full stack development, with a minimum of 2 years in a senior engineering role.
Proven ability to build early-stage products from concept to launch, and scale them successfully.
Proficient in Node.js, Python, React, Express and relational database technologies.
Practical experience or strong enthusiasm for integrating LLMs into production environments.
Expertise in designing scalable and maintainable system architectures.
Solid understanding of Clean Code principles, test-driven development (TDD), and CI/CD workflows.
Familiarity with Docker, Kubernetes, and modern DevOps practices.
Knowledge of AI/ML deployment workflows, A/B testing frameworks, and monitoring tools.
Demonstrated leadership in driving engineering projects to successful delivery.
Industry experience in healthcare technology is a bonus.
Benefits Salary: $160k – $175k
Equity.
Remote and flexible working options.
Health, dental and retirement package.
53475
#J-18808-Ljbffr