Software Engineer II | ML & AI

Responsibilities

• Collaborate with UX, engineering, and product management to design secure, reliable, and scalable software solutions.
• Document and review quality and change control to ensure standards are met.
• Partner with the Product Team to ensure user stories are developer-ready, clear, and testable.
• Develop custom code or scripts to automate infrastructure, monitoring services, and test cases.
• Implement code or scripts to conduct destructive testing to verify production resiliency.
• Configure and modify setups on large projects using Home Depot approved methodologies.
• Integrate and tailor commercial off the shelf solutions to meet evolving business needs.
• Build meaningful dashboards, logging, alerting, and response plans to proactively address issues.
• Proactively pursue growth and new challenges through formal and informal development channels.
• Learn from experiments, both successful and failed, when approaching new problems.
• Participate in agile processes with other team members and contribute to team success.
• Foster collaboration and help create new ways for the team to succeed.
• Engage openly with diverse groups and build partnerships to achieve shared objectives.

Technologies

• Python
• Java
• PyTorch
• TensorFlow
• Scikit-learn
• LangChain
• OpenAI / Azure AI services
• SQL and relational databases
• NoSQL databases
• Git
• HTML, CSS, JavaScript, TypeScript
• Azure, AWS, GCP
• CI/CD pipelines
• Microservices and APIs
• Debugging, monitoring, and root cause analysis
• AI model evaluation, prompt engineering, MLOps exposure
• Security frameworks for authentication and authorization
• Unit, functional, integration, performance, and automated testing
• Software engineering best practices and agile development

Direct Manager / Direct Reports

Reports to: Software Engineer Manager or Senior Manager; 0 direct reports.

Compensation

• Salary: USD 90,000 - 170,000 per year

Location

Atlanta, GA (remote)

Travel Requirements

No travel required

Physical Requirements

• Mostly sedentary with occasional movement; light articles may be moved on rare occasions.

Working Conditions

Located in a comfortable indoor environment; adverse conditions are infrequent and not objectionable.

Minimum Qualifications

• Must be eighteen years of age or older and legally permitted to work in the United States.

Preferred Qualifications

• 1–3 years of relevant software development or engineering experience.
• Proficiency in Python and at least one object oriented language (Java preferred).
• Experience developing, integrating, or supporting AI/ML solutions, including models, generative AI applications, LLMs, or AI-powered services.
• Hands-on with AI development frameworks and tools such as PyTorch, TensorFlow, Scikit-learn, LangChain, OpenAI or Azure AI services.
• Experience writing and optimizing SQL queries against relational databases; familiarity with NoSQL.
• Version control experience (Git preferred).
• Frontend basics (HTML, CSS, JavaScript) and TypeScript frameworks.
• Cloud-native development on Azure, AWS, or GCP.
• CI/CD, DevOps practices, and automated deployment tooling.
• Experience building and maintaining microservice architectures and APIs.
• Modern debugging, monitoring, and root cause analysis capabilities.
• Exposure to AI model evaluation, prompt engineering, model tuning, or MLOps practices.
• Understanding of security frameworks for user and service authentication and authorization.
• Experience creating and executing unit, functional, integration, performance, and automated tests.
• Strong adoption of software engineering best practices, including code reviews, documentation, and agile methodologies.

Minimum Education

Bachelor's degree or equivalent in a related field.

Preferred Education

No additional education

Minimum Years of Work Experience

• 2

Preferred Years of Work Experience

• No additional years of experience

Minimum Leadership Experience

• None

Preferred Leadership Experience

• None

Certifications

None

Competencies

• Global Perspective
• Manages Ambiguity
• Nimble Learning
• Self-Development
• Collaborates
• Cultivates Innovation
• Situational Adaptability
• Communicates Effectively
• Drives Results
• Interpersonal Savvy