Senior AI Software Engineer – LLM Applications (Azure)
About The Position
We’re hiring a Senior AI Software Engineer to design and build enterprise-grade AI applications powered by modern LLM architectures and Azure cloud technologies. This role sits at the intersection of full-stack engineering and applied AI, focused on delivering scalable, production-ready systems using tools like Semantic Kernel, Kernel Memory, and Retrieval Augmented Generation (RAG). You’ll be building an internal, enterprise LLM-powered chat platform used across the organization, delivering real-world AI solutions at scale, not prototypes. This role requires a pragmatic, solution-oriented mindset, strong communication across teams, and the ability to thrive in fast-paced environments while pushing forward modern AI capabilities. This position will offer flexibility for hybrid work schedules to include both in-office presence and telecommute/virtual work, to be based from either Houston or Dallas, TX.
Requirements
- Bachelor's Degree plus at least 6 years of software development experience building applications with C#/.NET and REST APIs, or demonstrated equivalency of experience and/or education
- Experience with Angular (modern versions)
- Strong SQL Server expertise (data modeling, performance tuning)
- Hands-on experience with LLMs and RAG architectures
- Experience with frameworks like Semantic Kernel, Kernel Memory, or similar
- Strong foundation in software engineering, system design, and architecture
- Self-driven with the ability to operate effectively in fast-paced, evolving environments
Nice To Haves
- Experience building or contributing to LLM-powered applications (e.g., chat systems, copilots)
- Familiarity with embeddings, vector databases, or prompt engineering
- Exposure to Model Context Protocol (MCP) or similar emerging LLM integration patterns
- Experience with multimodal AI (e.g., speech, vision, or document understanding)
- Experience with CI/CD (Azure DevOps, GitHub Actions) and containerization (Docker)
Responsibilities
- Develop scalable applications using C#, .NET, REST APIs, and Angular
- Design and optimize SQL Server data models, queries, and performance
- Write secure, maintainable, production-quality code with a focus on balancing speed and quality
- Design and implement RAG pipelines and LLM-powered workflows
- Integrate multiple LLMs into enterprise applications
- Build and deploy agentic AI solutions
- Leverage Azure AI services (Semantic Kernel, Kernel Memory, AI Foundry)
- Contribute to evolving architectures such as Model Context Protocol (MCP) and multi-model orchestration
- Deploy and operate applications in Azure with a focus on reliability, scalability, and cost efficiency
- Contribute to system design, architecture, and performance optimization
- Partner with architects and engineers in an Agile environment
- Translate business needs into scalable technical solutions and clearly communicate trade-offs to both technical and non-technical stakeholders
- Evaluate and adopt emerging AI and GenAI technologies
- Continuously improve engineering practices across design, development, and delivery
- Bring a passion for AI and cloud-native development into day-to-day work
Benefits
- medical
- dental
- vision
- life
- AD&D
- disability benefits
- paid time off
- leaves of absences
- voluntary benefits
- perks
- flexible work options
- well-being resources
- employee assistance program
- business travel insurance
- service recognition awards
- retirement savings plan
- employee stock purchase plan
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What This Job Offers
Job Type
Full-time
Career Level
Senior
