Sr. Full Stack Engineer

Location: Irving, TX (Preferred) | Minneapolis, MN | Chandler, AZ | Charlotte, NC (Alternate Locations)

Work Model: Hybrid (3 Days Onsite / 2 Days Remote)

Job Overview: We are seeking an experienced Sr. Full Stack Engineer with a strong background in full-stack application development, cloud technologies, AI/ML, and modern software engineering practices. The ideal candidate will have hands-on experience building scalable applications using Python and React while leveraging cloud platforms and DevOps methodologies to deliver high-quality solutions.

Required Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience. Strong hands-on experience in full-stack software engineering. Proficiency in Python for backend/application development and React for frontend/UI development. Experience building and consuming REST APIs, microservices, and distributed systems. Hands-on experience with Microsoft Azure development and deployment, along with solution design experience in AWS and/or Google Cloud Platform (GCP).Experience developing machine learning solutions using diverse datasets, including AI model development, evaluation, optimization, and deployment. Experience building or integrating chatbots or conversational AI solutions. Strong understanding of cloud architecture, software design, application security, scalability, and performance. Experience with DevOps practices and tools, including CI/CD, Infrastructure as Code (IaC), automated deployments, environment management, monitoring, and release support across cloud platforms. Experience working with relational, NoSQL, and vector databases.

Preferred Qualifications: Experience with Azure Machine Learning, Azure Functions, Azure App Services, Azure DevOps, AWS Lambda, SageMaker, Google Vertex AI, Cloud Run, or similar cloud services. Experience with Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), or prompt orchestration frameworks. Experience designing multi-cloud application architectures and integration patterns. Familiarity with Docker, Kubernetes, and container-based deployment models. Experience with MLOps, model lifecycle management, and production monitoring. Experience working with relational, NoSQL, and vector databases. Strong communication, collaboration, and solution design skills with cross-functional teams.