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Staff Software Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Global Placement Firm
Full Time position
Listed on 2026-08-10
Job specializations:
  • Software Development
    Backend Developer, Full Stack Developer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 200000 - 230000 USD Yearly USD 200000.00 230000.00 YEAR
Job Description & How to Apply Below
Location: New York

Staff Software Engineer – Full Stack / AI

Global Placement Firm is conducting a confidential search for a Staff Software Engineer to join an early-stage, high-growth healthcare technology company building modern software infrastructure for hospital nutrition and clinical workflows.

This is a full-stack engineering role with a strong backend and AI focus
, ideal for an experienced engineer who enjoys owning projects end-to-end, working across the technology stack, and helping shape both product and engineering culture at an early-stage startup.

Position Overview

The Staff Software Engineer will play a key role in building and scaling a cloud-based healthcare platform that improves hospital operations, patient experiences, safety, and efficiency.

You'll work across React, Type Script, PostgreSQL, AWS Lambda, and modern serverless infrastructure
, while helping integrate AI and automation into both the development process and the product itself.

This is an opportunity for an engineer who wants significant ownership and enjoys working at the intersection of software engineering, AI, healthcare, and high-impact product development
.

Key Responsibilities
  • Build and deliver impactful features across the full technology stack, including React, Type Script, PostgreSQL, and AWS Lambda
    .
  • Design robust, scalable, and extensible systems capable of supporting complex healthcare workflows.
  • Own projects from initial requirements and technical architecture through development, launch, monitoring, and continuous improvement.
  • Develop and integrate AI/LLM-powered features that improve automation, workflow efficiency, and the user experience.
  • Use modern AI-assisted development tools such as Cursor, Git Hub Copilot, and ChatGPT to accelerate development and improve engineering quality.
  • Partner closely with product and clinical stakeholders to evaluate technical tradeoffs involving safety, usability, reliability, and automation.
  • Help establish engineering best practices, development processes, and standards as the company scales.
  • Identify technical risks and raise concerns early while working collaboratively toward practical solutions.
  • Lead engineering projects involving other engineers while remaining hands‑on with architecture and implementation.
  • Contribute across infrastructure, backend services, application development, and user‑facing experiences.
  • Improve system reliability, performance, maintainability, and scalability as the platform grows.
  • Help shape the company's engineering culture and contribute to building a high‑performing technical organization.
Required Qualifications
  • 5–8+ years of professional software engineering experience
    , with strong backend and full-stack experience.
  • At least 2 years in a senior‑level engineering role
    .
  • Strong experience building modern full‑stack applications.
  • Professional experience with Type Script and React or comparable modern frontend technologies.
  • Strong backend development experience with Python, Go, Ruby
    , or a similar modern backend language.
  • Experience working with PostgreSQL or other relational databases
    .
  • Hands‑on experience with AWS
    , serverless architecture, infrastructure‑as‑code, or Terraform.
  • Experience building or shipping AI/LLM-powered applications or features
    .
  • Regular experience using AI‑assisted development tools such as Cursor, Copilot, or ChatGPT
    .
  • Experience working in a startup or rapidly scaling technology environment
    .
  • Experience leading an engineering project involving at least one other engineer; this is project leadership rather than formal people management.
  • Strong understanding of software architecture, scalability, reliability, and engineering best practices.
  • Ability to work collaboratively with product, engineering, and domain/clinical stakeholders.
  • Strong ownership mentality and ability to operate effectively in an ambiguous, fast‑moving environment.
Preferred Qualifications
  • Experience working in healthcare technology, health‑tech, clinical software, or other highly regulated/high‑trust environments
    .
  • Experience at a modern, rapidly scaling startup, preferably Series A–F.
  • Previous experience working on AI‑enabled products or automation platforms.
  • Experience working in a remote or…
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