Senior AI/ML Software Engineer

Cirqd, Llc; Salt Lake City (UT); Hybrid; USD 100,000 - 160,000; Full time

Job summary

Cirqd, Llc in Salt Lake City region is seeking an AI-focused software engineer to build and scale AI platforms and deliver software that helps local businesses manage workflows.

You will prototype features, collaborate with product teams, stay current with generative AI trends, and design ML models with reliability and throughput in mind.

Qualifications

• 3+ years of experience writing ML code for launched products.
• Experience writing production features leveraging LLMs and generative AI.
• Experience creating data sets from proprietary anonymized data, and using them to train and fine-tune ML models.
• Proven success designing and maintaining distributed or high-throughput systems.
• A willingness to work across the entire stack, from infrastructure to APIs to user-facing components, wherever the problem needs solving.

Responsibilities

• Rapidly prototype product features to explore new AI capabilities, while writing clean, understandable code.
• Work closely with multiple product teams and cross-functional teammates to quickly integrate AI into existing products.
• Keep up-to-date with industry trends around generative AI and machine learning.
• Build, train, fine-tune, deploy and maintain ML models for AI features.
• Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency.

Skills

ML code

LLMs

Distributed systems

API design

Tools

Python

PyTorch

Docker

Job description

Location: Remote or Hybrid in Salt Lake City or Ogden, Utah

Position Overview

Build and scale AI platforms. Design and deliver software that enables local businesses to manage workflows.

Responsibilities

• Rapidly prototype product features to explore new AI capabilities, while writing clean, understandable code.
• Work closely with multiple product teams and cross-functional teammates to quickly integrate AI into existing products.
• Keep up-to-date with industry trends around generative AI and machine learning.
• Build, train, fine-tune, deploy and maintain ML models for AI features.
• Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency.

Preferred Qualifications

The following are only preferred qualifications. We are more interested in where you want to go in your career than if you meet every qualification.

• 3+ years of experience writing ML code for launched products.
• Experience writing production features leveraging LLMs and generative AI.
• Experience creating data sets from proprietary anonymized data, and using them to train and fine-tune ML models.
• Proven success designing and maintaining distributed or high-throughput systems.
• A willingness to work across the entire stack, from infrastructure to APIs to user-facing components, wherever the problem needs solving.

Additional Information

All your information will be kept confidential according to EEO guidelines.