Sr. Software Engineer - AI Innovation Team

- Build AI - Powered Features: Develop and implement moderate to complex application features and services, including high-impact components that integrate AI/ML models or AI service APIs. - Design Scalable Systems: Design scalable maintainable, and secure solutions, ensuring AI systems align with long-term strategies and enterprise standards. - Champion Engineering Excellence : Write high quality, well-tested code and guide peers in adopting best practices for AI workflow integration, model interaction, and external AI- service management. - Troubleshoot AI Performance: Conduct advanced troubleshooting of AI r-elated issues, such as model performance degradation, inference bottlenecks, prompt optimization challenges, and data pipeline inconsistencies. - Drive Innovation Opportunities : Identify transformative opportunities in AI integration patterns, automation strategies, development tools, and deployment pipelines.

Mentor junior staff in AI technologies, coding practices, and decision-making. - Ensure Quality & Reliability : Perform unit testing and identify defects in traditional and AI-augmented code paths to strengthen shared ownership of application and AI integration quality. - Collaborate Cross - Functionally : Partner with cross functional teams to evaluate new AI capabilities, assess technical feasibility, and contribute to the roadmap for AI-enabled features and platforms. - Share Knowledge : Share knowledge and best practices within the team by documenting patterns for AI integration, participating in learning sessions, and supporting a continuous learning environment around evolving AI technologies.

- Bachelor's degree in computer science or equivalent experience. - Minimum 5 years of experience designing software and writing production code in a team environment. - Proficiency in one or more major stacks (e.g., Node.js, TypeScript/React, Python), including demonstrated experience integrating AI/ML services into production applications. - Experience with SQL and cloud platforms (Azure/AWS/GCP), including services used in AI/ML solution development, deployment, monitoring, and optimization. - Knowledge of secure coding standards, test-driven development, and responsible AI practices, including validating, monitoring, and safeguarding model outputs. - Demonstrated effective verbal and written communication skills with the ability to mentor staff and contribute to technical strategy, standards, or best practices. - Proficient in using AI-augmented workflows to streamline coding, debugging, and documentation using AI coding assistants.

- Experience designing AI enabled -architectures or leading AI feature development in production environments. - Knowledge of containers and orchestration (Kubernetes preferred). - Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins, TeamCity). - Deep understanding of TDD and testing methodologies. - Proficiency with Git and branching standards. - Knowledge of ML Ops, vector databases, embedding pipelines, or advanced prompt engineering techniques.

- Meaningful Impact: Shape how AI capabilities are embedded into real-world enterprise applications. - Technical Growth: Work with evolving AI technologies, from generative AI to modern ML pipelines and cloud platforms. - Leadership Opportunities: Mentor others, influence coding standards, and help define the technical direction for AI initiatives. - Collaborative Culture: Partner with cross-functional teams to solve complex problems and drive innovation together. - Continuous Learning: Stay at the forefront of AI advancements through hands-on experimentation and shared knowledge.

If you're passionate about building intelligent systems, solving complex challenges, and helping teams unlock the power of AI, this is your opportunity to make a lasting impact. Bring your expertise, curiosity, and drive to help shape the future of AI enabled innovation.