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Job Title: AI Platform Engineer II
Location: Memphis, TN (Remote candidates may be considered if a qualified local candidate is not available)
Overview
We are seeking an experienced AI Platform Engineer II to help design, develop, and deliver enterprise AI solutions. This position offers the opportunity to work on modern AI platforms, large language model (LLM) technologies, cloud infrastructure, and AI-powered applications that support business innovation.
The ideal candidate has a strong foundation in either AI platform engineering or AI application development, enjoys solving complex technical challenges, and is passionate about building secure, scalable, and production-ready AI solutions. This role includes ownership of technical deliverables, collaboration across engineering and business teams, and mentoring junior engineers.
Key Responsibilities
- Design, develop, and maintain AI platforms, backend services, and AI-powered applications
- Build and enhance LLM gateways, retrieval-augmented generation (RAG) solutions, or other AI-driven systems
- Develop APIs, automation, and data integration services to support scalable AI platforms
- Integrate AI solutions with enterprise applications and data sources
- Implement secure, reliable, and observable AI systems through logging, monitoring, and governance practices
- Build and deploy applications using modern DevOps practices, CI/CD pipelines, Docker, and Kubernetes
- Collaborate with product owners, business stakeholders, and engineering teams to translate requirements into technical solutions
- Participate in Agile/Scrum development processes
- Mentor junior engineers through technical guidance, code reviews, and knowledge sharing
- Continuously evaluate new technologies and contribute to the evolution of AI engineering best practices
Required Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Cloud Engineering, Infrastructure Engineering, or a related field, or equivalent professional experience
- 5+ years of experience in software engineering, cloud engineering, infrastructure engineering, or a related technical discipline
- Strong experience in either AI infrastructure engineering or AI application development
- Experience developing backend applications, APIs, or AI-powered applications
- Hands-on experience with one or more modern programming languages such as Python, Java, or TypeScript
- Experience working with cloud platforms or modern AI development frameworks
- Strong understanding of API development, system integration, and scalable application design
- Experience working within Agile development environments
- Excellent analytical, communication, and collaboration skills
- Ability to independently own features from design through deployment
Preferred Qualifications
- Experience with retrieval-augmented generation (RAG), vector databases, embedding models, or LLM-based applications
- Familiarity with AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar technologies
- Experience with Docker, Kubernetes, and CI/CD pipelines
- Knowledge of enterprise security, governance, and compliance practices
- Experience with monitoring and observability platforms
- Experience building production AI assistants, chatbots, or intelligent automation solutions
- Previous experience mentoring junior engineers or reviewing technical work
How to Apply
If you're interested in building scalable, enterprise-grade AI solutions and working with modern AI technologies, we'd love to hear from you. Please submit your resume for confidential consideration. Qualified candidates will be contacted to discuss the opportunity in greater detail.