Responsibilities
- Design and build scalable AI-enabled applications across backend, frontend, cloud, data, and AI layers.
- Architect and implement Generative AI solutions, including RAG-based workflows.
- Write production-quality code using Python, C#, .NET, React.js, and Node.js.
- Build prototypes, proof of concepts, APIs, backend services, frontend components, and AI integrations.
- Review code, provide technical guidance, and help engineering teams solve complex implementation challenges.
- Design cloud-based architectures, preferably on Microsoft Azure, including application services, data flows, integrations, and deployment patterns.
- Work with MongoDB or other NoSQL databases to design scalable data models and retrieval patterns.
- Support CI/CD strategy, deployment automation, and engineering workflows using GitHub Actions.
- Partner with product, engineering, business, and leadership stakeholders to translate business needs into working software.
- Establish best practices for scalability, performance, security, reliability, maintainability, observability, and responsible AI usage.
Requirements
- 5+ years of experience in software engineering
- Strong hands-on software engineering experience, including recent coding experience
- Experience designing and building production applications using Python
- Practical experience with Generative AI and Retrieval-Augmented Generation, or RAG
- Strong technical background with C#, .NET, React.js, and Node.js
- Experience with cloud infrastructure, preferably Microsoft Azure
- Experience with MongoDB or another NoSQL database
- Experience with CI/CD pipelines and automation using GitHub Actions
- Ability and willingness to contribute directly to code, architecture, technical design, and implementation
- Ability to work onsite Tuesday through Thursday in the Spring, TX area
- Must be based in or near Houston, TX
- Strong communication skills with both technical and non-technical stakeholders.
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