Software Engineer - AI Coding Agents

NICE • Atlanta, GA

5d

About The Position

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
AI Software Engineer – Cloud AI Platforms
At NICE, we are not just building software—we are transforming how cloud operations are run using AI. We are building intelligent platforms that can understand system behavior, make decisions, and automate real-world operational workflows at scale. If you’re excited about applying AI beyond chatbots into real production systems, this is an opportunity to work on meaningful, high-impact problems.
What’s the role all about?
As an AI Software Engineer, you will be part of a team building AI-powered operational platforms that integrate across monitoring systems, CI/CD pipelines, ticketing tools, and cloud infrastructure. You will work on designing and implementing intelligent workflows, integrating AI models, and building scalable systems that automate complex operational tasks.
This is a highly hands-on role focused on building, integrating, and scaling AI-driven solutions in production environments.
How will you make an impact?
Build and scale AI-driven workflows and automation systems
Develop integrations with systems like monitoring platforms, ticketing tools, CI/CD pipelines, and cloud services
Design and implement APIs, tools, and data pipelines that power AI-driven decision-making
Work on LLM integrations, Model training, PII redaction solutions,prompt engineering, and orchestration layers
Translate real-world operational problems into automated, intelligent solutions
Collaborate with Product, SRE, and Infrastructure teams to deliver end-to-end capabilities
Improve system performance, reliability, and observability

Requirements

• Strong experience in backend development (Typscript, C#, .NET, Python, RUST or similar)
• Experience building scalable, distributed systems in cloud environments
• Familiarity with APIs, microservices, and event-driven systems
• Exposure to AI/ML concepts, LLMs, or AI SDKs (hands-on preferred)
• Experience with AWS / Azure / GCP
• Working knowledge of CI/CD, Docker, Kubernetes
• Strong problem-solving and analytical skills
• Ability to work in a fast-paced, evolving environment

Nice To Haves

• Experience with LLM frameworks or prompt engineering
• Knowledge of observability tools (Grafana, Prometheus, etc.)
• Experience building automation or internal platforms
• Frontend exposure (React, JavaScript)

Responsibilities

• Design and develop scalable backend systems for AI-powered platforms
• Build and maintain AI integrations, workflows, and automation pipelines
• Implement REST APIs, microservices, and event-driven architectures
• Work with both structured and unstructured data for AI use cases
• Contribute to CI/CD pipelines, testing, and deployment automation
• Troubleshoot and optimize production systems
• Collaborate with cross-functional teams to deliver high-quality solutions
• Contribute to reusable frameworks and engineering best practices

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees