Plenful · 2 days ago
Senior Backend Engineer, ML Ops
United States
Full-time
Remote
Mid, Senior Level
4+ years expPlenful is on a mission to transform healthcare operations from the inside out. They are seeking a Senior Machine Learning Backend Engineer to lead the integration of advanced ML solutions into their platform, focusing on the end-to-end development of ML-driven features and ensuring compliance and reliability in healthcare workflows.
Artificial Intelligence (AI)Data Center AutomationHealth CareIT InfrastructureMachine LearningSoftware
Responsibilities
Design, build, and maintain backend services and APIs in Python, with a focus on integrating and deploying machine learning models
Architect scalable infrastructure on AWS (S3, Lambda, SQS, ECS, CloudWatch) to support ML pipelines and inference at scale
Collaborate with product managers, designers, data scientists, and engineers to define and deliver ML-powered product features
Deploy, monitor, and optimize ML models in production, ensuring performance, security, and compliance with HIPAA and other healthcare regulations
Develop and optimize data pipelines for training, inference, and real-time decision-making
Implement best practices for CI/CD, testing (Pytest), and version control (Git) to ensure reliable ML feature deployment
Troubleshoot and resolve production issues across ML services, APIs, and infrastructure
Document architectural decisions, ML workflows, and compliance/security practices
Provide technical leadership—mentoring engineers, reviewing code, and championing backend + ML integration best practices
Qualification
Required
4+ years of professional backend development experience, with a Bachelor's degree in Computer Science, Machine Learning, or a related field
Expertise in Python for backend services and ML integration
Strong applied ML experience in a SaaS context—NLP pipelines, LLM fine-tuning/evaluation, or healthcare ML applications
Familiarity with ML frameworks such as PyTorch, TensorFlow, scikit-learn, or Hugging Face Transformers
Hands-on experience with cloud infrastructure (AWS: S3, Lambda, ECS, SQS, CloudWatch)
Proficiency in relational databases (PostgreSQL) and designing schemas to support ML applications
Experience deploying ML models into production systems, not just research or prototyping
Solid understanding of CI/CD pipelines, Git workflows, and automated testing for ML/Backend systems
Proven track record of owning projects end-to-end in a fast-paced startup or B2B SaaS environment
Strong communication skills with the ability to translate ML concepts into product outcomes
Preferred
Experience in regulated industries (healthcare, HIPAA compliance) preferred
Benefits
Unlimited PTO
Health insurance
Meal stipend
Health & wellness stipend
Team offsites
401K matching
Stock options
Company
Plenful
Plenful is a no-code workflow automation and AI platform that optimizes healthcare's manual, administrative workflows.
51-200 employees
H1B Sponsorship
Plenful has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2023 (1)
2022 (1)
Funding
Current Stage
Growth StageTotal Funding
$76MKey Investors
TQ VenturesBessemer Venture Partners
2025-04-30Series B· $50M
2024-05-30Series A· $17M
2023-10-03Seed· $9M
Leadership Team
Joy Liu
Founder & CEO
M
Michael Longo
Chief Revenue Officer (CRO)
Recent News
2025-10-16
Company data provided by crunchbase