Software Engineer

present of AI; New York (NY); On-site; USD 110,000 - 150,000; Full time

Job summary

Present of AI seeks an engineer to take features from customer conversations through production, spanning a Python backend and a React frontend. The ideal candidate has at least three years of production experience and is comfortable with AWS and Kubernetes.

They own problems end-to-end and engage directly with customer integrations to ensure reliability. The role focuses on building AI pipelines, learning to use tools like Claude Code or Cursor, and scaling production systems with thoughtful

Qualifications

• 3+ years of production experience.
• Comfort with cloud infrastructure (AWS) and Kubernetes.
• Ability to own problems end-to-end.
• Direct work on customer integrations and reliability.

Responsibilities

• Translate features from customer conversations into production, across Python backend and React frontend.
• Own end-to-end problems and debug real incidents in production.
• Work on customer integrations and reliability to keep services stable.
• Contribute to AI pipelines and learn about retrieval and background workflows.

Skills

Python

FastAPI

React

TypeScript

AWS

Kubernetes

AI coding tools

Tools

Claude Code

Cursor

Job description

This role asks for an engineer who can take features from customer conversations all the way to production, working across a Python backend and React frontend. A strong candidate brings at least three years of production experience, comfort with cloud infrastructure like AWS and Kubernetes, and a habit of owning problems end to end. The job also expects direct work on customer integrations and reliability, so debugging real incidents and talking with customers matter.

How it fits the AI era

AI changes the daily work by speeding up coding and helping draft and review code, but the role still depends on human judgment to know when not to trust those tools. The platform itself runs AI pipelines for government proposals, so the engineer helps make those pipelines faster and more reliable as usage grows. What stays human is the careful review, the design thinking before big changes, and the on call work that keeps production stable.

How it builds AI experience

Someone in this role would gain hands on experience building and scaling LLM pipelines and background workflows inside a product that government contractors use every day. They would also learn to use AI coding tools like "Claude Code" or "Cursor" in a careful way, reviewing output and knowing its limits. To build that experience, a candidate could practice with similar tools on personal projects and study how retrieval and pipeline systems work in production.

Worth showing

• Python and FastAPI
• React and TypeScript
• AWS and Kubernetes
• AI coding tool use

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About GovEagle

An AI platform that helps government contractors find opportunities and draft compliant proposals from past bids and solicitation requirements.