Software Engineer II – ML & AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Independently design and develop products for customers and team members.

• Create, implement, and maintain production applications.

• Collaborate with UX, engineering, and product management teams to develop secure, reliable, and scalable software solutions.

• Document, review, and ensure compliance with quality and change control standards.

• Work alongside the Product Team to prepare user stories that are developer-ready, clear, and testable.

• Write code or scripts to automate infrastructure, monitoring services, and testing scenarios.

• Develop code or scripts for destructive testing and ensuring production resilience.

• Execute program configuration, modification, and setup tasks on large-scale projects.

• Customize commercial off-the-shelf solutions to meet business requirements.

• Create dashboards, logging, alerting, and proactive responses to issues.

• Engage in both formal and informal learning and experimentation activities.

• Collaborate with team members in agile methodologies to enhance team efficiency.

• Build partnerships and work together to achieve common goals.

• Provide support for configuration, security, resilience, performance tuning, and production monitoring as needed.

⛳️ Requirements

• Candidates must be eighteen years of age or older.

• Must have legal authorization to work in the United States.

• 1–3 years of relevant experience in software development or engineering is preferred.

• A Bachelor's degree or equivalent in a related field, or equivalent knowledge, skills, and abilities is required.

• Proficiency in programming with Python and at least one object-oriented programming language, with a preference for Java.

• Experience in developing, integrating, or supporting AI/ML solutions, including machine learning models, generative AI applications, LLMs, or AI-powered services.

• Familiarity with AI development frameworks and tools such as PyTorch, TensorFlow, Scikit-learn, LangChain, OpenAI/Azure AI services, or similar technologies.

• Proficient in writing and optimizing SQL queries for relational databases.

• Experience with both relational and NoSQL database technologies.

• Familiarity with source code management and version control systems, preferably Git.

• Proficient in HTML, CSS, JavaScript, and TypeScript frameworks.

• Experience with cloud computing platforms and cloud-native application development, including Azure, AWS, or GCP.

• Background in CI/CD pipelines, DevOps practices, and automated deployment tools.

• Experience in building and supporting microservice-based architectures and APIs.

• Familiarity with debugging, monitoring, and root cause analysis techniques.

• Exposure to AI model evaluation, prompt engineering, model tuning, or MLOps practices.

• Understanding of security frameworks for user and service authentication and authorization.

• Experience in creating and executing unit, functional, integration, performance, and automated tests.

• Knowledge of software engineering best practices, including code reviews, testing, documentation, and agile development methodologies.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Comprehensive health, dental, and vision insurance.

• Generous vacation and paid time off policies.

• Opportunities for professional development and training.

• Flexible work arrangements and a supportive work environment.