AI & Cloud Platform Lead Engineer

Atrium

New York (NY)

On-site

USD 120,000 - 140,000

Full time

2 days ago

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Job summary

Atrium is seeking a Lead Software Engineer – AI & Cloud Applications in New York to drive technical strategy and scalable SaaS solutions. You will lead hands-on architecture, mentor engineers, and push AI-powered initiatives across product portfolios.

The role requires strong Python/Node.js/React skills and deep AWS experience, including serverless design, with an emphasis on scalable, enterprise-grade deployments. Collaborative leadership and impactful architecture decisions are essential.

Qualifications

5-8 years of professional software engineering experience.
Strong hands-on development experience with Python, Node.js, and React.
Strong AWS experience, including Lambda, SNS, API Gateway, and EC2.
Experience designing and implementing AI/agentic systems.
Experience with LangGraph, LangChain, LangFuse, OpenAI Agents SDK, or similar AI frameworks.
Experience with PostgreSQL and/or AWS Aurora.
Experience building and scaling enterprise web applications.
Strong understanding of automated testing, code review, CI/CD, and software engineering best practices.
Experience working in Agile product development environments.
Previous technical leadership, mentoring, or engineering management experience.
Strong communication and stakeholder management skills.

Responsibilities

Design and develop scalable enterprise SaaS applications and features.
Partner with Product and Technology leadership on technical design, architecture, and project prioritization.
Design and implement AI-powered and agentic systems that integrate with existing applications.
Evaluate and implement AI engineering tools to improve development workflows and team efficiency.
Provide technical guidance around architecture, technology selection, implementation, and scalability.
Scale cloud applications with an emphasis on serverless AWS infrastructure where appropriate.
Improve engineering standards around code review, automated testing, CI/CD, and QA.
Identify technical deficiencies and recommend improvements across applications and engineering processes.
Mentor and manage engineers while supporting their technical and professional development.
Collaborate across Engineering, Product, UX, Quality, and Release teams.