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Software Engineer II| ML & AI

Vaga remota de Software Engineering com fit claro de localização do candidato.

Publicada18 de jul. de 2026

Países elegíveis2 países aceitos

Sinal de senioridadeMiddle

Modelo de trabalhoRemoto

Locais aceitos para candidatos

GeórgiaEstados Unidos

AWS Azure CI/CD GCP Java JavaScript Python SQL TypeScript

Resumo da vaga

Software Engineer II| ML & AI

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

Key Responsibilities:

60% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions; Documents, reviews and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do destructive testing to ensure adequate resiliency in production; Program configuration/modification and setup activities on large projects using HD approved methodology; Configures commercial off the shelf solutions to align with evolving business needs Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
20% Learning - Actively seeks ways to grow and be challenged using both formal and informal development channels; Learns through successful and failed experiment when tackling new problems
20% Plans and Aligns - Collaborates with other team members in agile processes; Assists in creating new and better ways for the team to be successful; Relates openly and comfortably with diverse groups of people; Builds partnerships and works collaboratively with others to meet shared objectives

Direct Manager/Direct Reports:

This position typically repots to Software Engineer Manager or Sr. Manager
This position has 0 Direct Reports

Travel Requirements:

No travel required.

Physical Requirements:

Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:

Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:

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

Preferred Qualifications:

1–3 years of relevant software development or engineering experience.
Experience programming in Python and at least one object-oriented programming language (Java preferred).
Experience developing, integrating, or supporting AI/ML solutions, including machine learning models, generative AI applications, LLMs, or AI-powered services.
Experience using AI development frameworks and tools such as PyTorch, TensorFlow, Scikit-learn, LangChain, OpenAI/Azure AI services, or similar technologies.
Experience writing and optimizing SQL queries against relational databases.
Experience with relational and NoSQL database technologies.
Experience with source code management and version control systems (Git preferred).
Experience with front-end technologies such as HTML, CSS, JavaScript, and TypeScript frameworks.
Experience with cloud computing platforms and cloud-native application development (Azure, AWS, or GCP).
Experience with CI/CD pipelines, DevOps practices, and automated deployment tools.
Experience building and supporting microservice-based architectures and APIs.
Experience with modern debugging, monitoring, and root cause analysis techniques.
Exposure to AI model evaluation, prompt engineering, model tuning, or MLOps practices.
Exposure to security frameworks for user and service authentication and authorization.
Experience creating and executing unit, functional, integration, performance, and automated tests.
Understanding of software engineering best practices, including code reviews, testing, documentation, and agile development methodologies.

Minimum Education:

The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.