Full-stack Engineer

• Lead end-to-end architecture, design, and development of full-stack applications with AI/ML components.
• Drive best practices in coding, scalability, security, CI/CD, and cloud-native development.
• Coach and mentor developers, data engineers, and ML engineers.
• Own solution design reviews, technical roadmaps, and architectural decisions.
• Develop high-performance front-end interfaces using modern frameworks (React, Next.js, Angular, Vue).
• Architect secure, scalable backend services using Node.js, Python, Go, or Java.
• Build RESTful and GraphQL APIs.
• Implement testing, code quality pipelines, and DevOps workflows.
• Integrate real-time data streams for AI-driven features.
• Leverage enterprise frameworks (.NET 8, ASP.NET Core) and cloud-native orchestration (Azure AKS, Kubernetes, Helm) for scalable AI deployments.
• Incorporate MCP servers and distributed compute frameworks to support large-scale AI/ML inference and training.
• Productionize ML models and integrate them into real-world applications.
• Build ML-driven features such as recommendation engines, anomaly detection, and NLP.
• Design data pipelines, feature stores, vector databases, and inference layers.
• Optimize model performance and deployment strategies.
• Implement model drift detection, automated retraining pipelines, and AI observability frameworks.
• Research and prototype emerging AI technologies (LLMs, GenAI, RAG architectures).
• Ensure responsible and ethical AI deployment practices.
• Explore advanced AI applications such as digital twins and immersive analytics to accelerate innovation.
• Define and execute enterprise AI/ML strategies aligned with key business outcomes.
• Champion best practices in data engineering, MLOps, and cloud optimization.
• Champion AI governance, compliance, and ethical AI principles across all solutions.
• Promote cross-functional AI adoption and educate stakeholders on AI capabilities and limitations.
• Lead and mentor AI/ML engineering teams.
• Collaborate with data scientists, ML engineers, and business stakeholders to deliver impactful solutions.
• Translate business requirements into scalable AI/ML strategies.

Lead Full Stack Developer – AI/ML Focus

Staff Software Engineer – Electrical Power Systems, GridOS MGA

Staff Software Engineer – Electrical Power Systems, GridOS MGA

Principal Engineer – Assay and Data Automation

Distinguished Software Engineer

Senior Software Engineer - Cloud