AI Platform Engineer II

Memphis, TN Hybrid, may consider remote
6 months plus

Qualifications:

Bachelor’s in Computer Science, Software Engineering, Infrastructure Engineering, Cloud Engineering, or related field (or equivalent experience).

5–7+ years of experience in software development, infrastructure engineering, or cloud engineering, with demonstrated proficiency in either AI infrastructure or AI application development.

Experience building backend applications and APIs (REST/GraphQL/gRPC) or developing user-facing AI applications.

Familiarity with GenAI frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.) or cloud-native development (AWS, Azure, Google Cloud Platform).

Proficiency in at least one modern programming language (Python, Java, TypeScript, etc.).

Experience with CI/CD pipelines and containerization (Docker, Kubernetes) is preferred.

Strong problem-solving and collaboration skills.

Excellent written and verbal communication skills.

Nice to Have:

Experience with vector databases, retrieval-augmented generation, or embedding models.

Exposure to enterprise security and compliance frameworks.

Familiarity with monitoring/observability stacks (Splunk, AWS CloudTrail, ScienceLogic).

Experience building chatbots, virtual assistants, or integrating AI into production systems.