AI Software Engineer — Build Scalable Decision Systems

UpSmith Inc.; United States; On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Early-stage equity

High ownership

Flexible remote work

Job summary

UpSmith Inc. is seeking a Software Engineer to drive the technical direction of their AI-powered platform. This role demands high ownership and is ideal for someone experienced in building impactful systems that enhance customer outreach and decision-making processes. The successful candidate will work with technologies such as Python, PostgreSQL, and Kubernetes, and help shape the future of the platform while ensuring measurable business impacts. The position offers remote flexibility and is suited for team-oriented individuals focused on driving results.

Qualifications

• Ability to drive impact and value to the team.
• Experience building systems that make decisions at scale.
• Proficient in designing data schemas.
• Comfortable with incremental delivery of projects.
• Capable of measuring and improving system performance.

Responsibilities

• Shape technical direction and make architectural decisions.
• Build logic for customer outreach and decision-making.
• Ensure data integrity and actionability.
• Design and implement user-friendly dashboards.
• Manage system migrations without disruption.

Skills

Decision systems

Data infrastructure

Client-facing visibility

System evolution

Data models

Tools

Python

PostgreSQL

SQLAlchemy

Kubernetes

AWS

Job description

UpSmith Inc. is seeking a Software Engineer to drive the technical direction of their AI-powered platform. This role demands high ownership and is ideal for someone experienced in building impactful systems that enhance customer outreach and decision-making processes. The successful candidate will work with technologies such as Python, PostgreSQL, and Kubernetes, and help shape the future of the platform while ensuring measurable business impacts. The position offers remote flexibility and is suited for team-oriented individuals focused on driving results.