Senior Full Stack Engineer (MLOPs & Backend)

New York, New York

  Development - Java Backend

Permanent

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.

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.

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