Forward Deployed Engineer - Platform

Our client, an AI-driven HealthTech startup, are hiring a talented Forward Deployed Engineer to join the team in New York. The successful candidate will act as the link between the company’s core technology and clinical partners, working directly with hospitals and healthcare networks to deploy, integrate and scale their real-time neural monitoring platform.

Responsibilities

• Work at the intersection of machine learning infrastructure and clinical systems, translating advanced neural monitoring technology into real-world hospital environments.

• Collaborate directly with hospitals and clinics to deploy and integrate their machine learning models and infrastructure.

• Design and implement integrations with hospital IT systems and EEG monitoring equipment.

• Troubleshoot complex infrastructure challenges, including secure networking, high-throughput data ingestion and low-latency inference in diverse clinical environments.

• Deliver reliable, scalable and secure deployments in mission-critical healthcare settings.

Skillset

• At least 3 years of experience in software engineering, infrastructure engineering or forward-deployed engineering roles.

• Strong proficiency in Python.

• Practical experience with containerisation and orchestration tools such as Docker and Kubernetes.

• Strong background in troubleshooting Linux environments, networking systems and secure deployment architectures.

• Excellent communication skills, with the ability to collaborate effectively across engineering teams and clinical or IT stakeholders.

• Strong ownership mindset, with the ability to work independently and willingness to travel to client sites when required.

• Experience working with healthcare technology, clinical data systems, or HIPAA-compliant infrastructure is a plus.

• Familiarity with real-time data pipelines or low-latency machine learning systems is a bonus.

• Exposure to medical device environments or hospital IT integrations is desirable.

Benefits

• Salary: $130k – $160k.