Senior Forward-Deployed SWE: AI-Driven Customer Solutions

IT Labs, LLC

New York (NY)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

IT Labs, LLC is seeking a Senior Forward Deployed Software Engineer to join a deep-tech environment, tackling complex software and AI challenges. The role is hands-on, customer-facing, and spans the full stack from prototyping to production-ready applications.

You will work with data scientists and ML engineers to bring advanced physics models into customer-facing apps, deploying and operating via Docker, Kubernetes, Helm, Terraform, and AWS.

Qualifications

  • Strong software engineering fundamentals and production experience.
  • Expertise in Python, REST APIs, and microservices.
  • Experience with FastAPI or similar Python frameworks.
  • Hands-on with Docker, Kubernetes, Helm, Terraform.
  • Experience with AWS and cloud services.
  • Able to own complex problems end-to-end and communicate with customers.

Responsibilities

  • Understand customer challenges and design impactful software solutions.
  • Build rapid prototypes, gather feedback, and iterate to production.
  • Develop and maintain REST APIs and microservices.
  • Collaborate with data scientists to integrate physics models.
  • Deploy and operate applications using Docker, Kubernetes, Helm, Terraform, AWS.
  • Work with frontend, design, and platform teams for end-to-end delivery.
  • Identify reusable components and contribute to core platform.

Skills

Python
REST APIs
Microservices
Production-grade software
Customer communication

Tools

Docker
Kubernetes
Helm
Terraform
AWS
FastAPI

Job description

IT Labs, LLC is seeking a Senior Forward Deployed Software Engineer to join a deep-tech environment, tackling complex software and AI challenges. The role is hands-on, customer-facing, and spans the full stack from prototyping to production-ready applications.

You will work with data scientists and ML engineers to bring advanced physics models into customer-facing apps, deploying and operating via Docker, Kubernetes, Helm, Terraform, and AWS.

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