Senior Backend Engineer, ML Ops

About Plenful

Plenful is on a mission to transform healthcare operations from the inside out. Fresh from our $50M Series B and backed by leading investors such as Bessemer Venture Partners, Notable Capital, TQ Ventures, Susa/Kivu Ventures, we’re building the category‑defining AI agentic operating platform that healthcare teams rely on to operate smarter, faster, and more efficiently. Our technology empowers healthcare operators across hospitals, health systems, pharmacies, and payors to eliminate manual work, reduce administrative burden, and improve compliance, unlocking critical revenue to fund programs for patients in need.

We are hiring an exceptional Senior Machine Learning Backend Engineer to lead the integration of advanced ML solutions into our platform. At Plenful, the Engineering‑Product‑Design triangle is essential to our product’s success. As a senior ML backend engineer, you will own the end‑to‑end development of ML‑driven features—designing scalable systems, deploying models into production, and ensuring performance, compliance, and reliability in healthcare workflows.

• 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, Cloud Watch) to support ML pipelines and inference at scale.
• ate 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.

• 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, Tensor Flow, scikit‑learn, or Hugging Face Transformers.
• Hands‑on experience with cloud infrastructure (AWS: S3, Lambda, ECS, SQS, Cloud Watch).
• Proficiency in relational databases (Postgre
  
  SQL) 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.
• Experience in regulated industries (healthcare, HIPAA compliance) preferred.
• Strong communication skills with the ability to translate ML concepts into product outcomes.

• Unlimited PTO, health insurance, meal stipend, health & wellness stipend, team off‑sites, 401(k) matching, and stock options.
• Opportunities to further develop and refine your partnership acumen by partnering with our seasoned leaders.

Apply now to join our growing team.