Lead Software Engineer - AI

United States, Georgia, Atlanta 133 Peachtree Street Northeast (Show on map) May 08, 2026

Your Job

This hands-on technical lead role is critical to the design, development, and operation of AI-powered applications-primarily computer vision-deployed across more than 100 manufacturing facilities. This team creates sustainable value and competitive advantage by leveraging advanced analytics, AI, and actionable insights across the enterprise, with a strong focus on manufacturing outcomes and future-forward innovation. The role works closely with data scientists, product partners, and manufacturing teams to deliver scalable, real-world AI solutions.

What You Will Do

• Lead the end-to-end development and deployment of scalable data pipelines, machine learning models, and AI-enabled applications.
• Provide technical direction and architectural guidance for cloud and edge-based AI solutions.
• Build and operate scalable orchestration across cloud and distributed edge clusters (Kubernetes/EKS).
• Collaborate with data scientists, engineers, and product managers to launch new AI products and evolve existing capabilities.
• Write high-quality, production-grade code using modern AI and analytics technologies.
• Mentor engineers through design reviews, code reviews, and hands-on technical leadership.
• Proactively identify technical debt and implement improvements to accelerate product iteration.
• Establish and uphold best practices for system design, reliability, and performance.
• Manage personal learning while contributing to the technical growth of the team.

• Demonstrated experience building and operating distributed software systems, including experience leading technical design and delivery.
• Strong proficiency in Python, SQL, Docker, Bash scripting, and additional programming languages.
• Experience with AWS services such as Lambda, EC2, ECS, EKS, S3, and IAM.
• Experience building and deploying containerized applications using Kubernetes (EKS) and/or AWS ECS.
• Experience with data streaming technologies such as Kafka, NATS, MQTT, or similar platforms.
• Experience using Infrastructure-as-Code tools such as Terraform and Helm.
• Strong knowledge of data structures, algorithms, and system design.
• Excellent analytical, troubleshooting, and organizational skills.

What Will Put You Ahead

• Experience with edge computing architectures and hybrid cloud deployments.
• Bachelor's or master's degree in computer science, engineering, or a related field.
• Experience deploying and operating applications on edge devices.
• Familiarity with monitoring and logging tools such as Prometheus, Grafana, or Splunk.

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