Product Engineer (Backend or Fullstack)

Overview

Hybrid
Depends on Experience
Full Time
No Travel Required

Skills

Python
Big Tech - come from this environment
Start-Up environments
Backend or Fullstack
Deep Ownership
Strong sense of urgency
provide product direction
infrastructure
experience building and scaling distributed systems
proven track record of shipping user-facing products
Excellent collaboration and communication skills
Experience with regulated industries

Job Details

Responsibilities

  • Lead end-to-end development of new products from concept to launch, with a focus on rapid iteration in production environments

  • Design, build, and scale backend infrastructure that supports voice AI applications

  • Partner with cross-functional teams to develop and deploy new tools, features, and workflows

  • Address compliance and regulatory requirements within fintech infrastructure and systems

  • Collaborate directly with the founding team and early employees to shape both the technical architecture and overall product vision

Must-Have Qualifications

  • Expert-level proficiency in Python (rated 10/10)

  • Minimum of 4 years of experience as a software engineer, ideally with exposure to LLM-focused companies

  • Professional background that includes both large-scale tech firms (e.g., Google, Meta, Dropbox) and fast-paced, high-growth startups

  • Strong academic credentials, preferably from top-tier institutions such as Stanford, MIT, or Carnegie Mellon

  • Hands-on experience designing, building, and scaling distributed systems

  • Demonstrated success in delivering user-facing products to production

  • Comfortable operating in dynamic, fast-moving startup environments

  • Excellent communication and teamwork skills; thrives in collaborative settings

Preferred Qualifications

  • Experience working in regulated industries such as finance or healthcare

  • Familiarity with large language models (LLMs) or natural language processing (NLP) systems

  • Prior teaching assistant (TA) experience in rigorous computer science courses

  • Understanding of auto loan servicing or broader consumer finance operations

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About SmartTech Staffing Partners