AI Platform Engineer II - Build Scalable AI Infra & Apps

Mindtris

Memphis (TN)

On-site

USD 110,000 - 160,000

Full time

14 days+

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Job summary

Mindtris in Memphis, TN is seeking an AI Platform Engineer II to design, develop, and deliver AI solutions across infrastructure or application layers. You will own end‑to‑end features, mentor junior engineers, and collaborate with cross‑functional teams to ship secure, scalable AI capabilities.

The role emphasizes independence, strong programming and cloud skills, experience with CI/CD pipelines, Docker/Kubernetes, and modern AI frameworks. On‑site in Memphis with collaboration across teams.

Qualifications

  • Bachelor's degree in CS/SE/Infra/Cloud or related field.
  • 5–7+ years of experience in software, infrastructure, or cloud engineering.
  • Experience building backend APIs (REST/GraphQL/gRPC) or AI applications.
  • Familiarity with GenAI frameworks or cloud-native development (AWS/Azure/GCP).
  • Proficiency in at least one modern language (Python, Java, TypeScript).
  • CI/CD pipelines and containerization (Docker, Kubernetes) preferred.
  • Strong problem‑solving and collaboration skills.
  • Excellent written and verbal communication.

Responsibilities

  • Contribute to the development and maintenance of LLM gateways, retrieval‑augmented generation platforms, or AI‑powered applications.
  • Depending on specialization, focus on either building and optimizing backend AI infrastructure, cloud services, and data pipelines, or designing and implementing AI‑powered user experiences, integrations, and APIs.
  • Participate in the integration of AI solutions with enterprise systems and data sources.
  • Independently develop APIs and automation scripts for data integration and platform scalability.
  • Support the implementation of security, governance, and observability controls for AI systems.
  • Assist with logging, monitoring, and reporting for auditability and usage insights.
  • Develop and deploy AI applications using CI/CD pipelines and containerized environments (Docker, Kubernetes).
  • Apply DevOps practices such as dependency management, vulnerability scanning, and role‑based access as appropriate to project scope.
  • Work with business/product stakeholders to translate requirements into AI features or applications.
  • Collaborate with senior engineers and platform teams to adopt new capabilities and provide feedback.
  • Participate in agile development processes (Scrum) to deliver projects efficiently.
  • Mentor or review work from Analyst and Engineer I‑level team members.
  • Expand expertise in either AI infrastructure or application development, with opportunities to learn from senior engineers and cross‑functional teams.
  • Share knowledge and support peer learning within the team.

Skills

Backend development
APIs (REST/GraphQL/gRPC)
GenAI frameworks
Cloud platforms
Programming languages (Python/Java/TS)
CI/CD
Containerization (Docker/Kubernetes)
Collaboration
Communication
Problem-solving

Education

Bachelor's degree in CS/Software/Infra/Cloud

Tools

Docker
Kubernetes
LangChain
LlamaIndex
Semantic Kernel
AWS
Azure
GCP

Job description

Mindtris in Memphis, TN is seeking an AI Platform Engineer II to design, develop, and deliver AI solutions across infrastructure or application layers. You will own end‑to‑end features, mentor junior engineers, and collaborate with cross‑functional teams to ship secure, scalable AI capabilities.

The role emphasizes independence, strong programming and cloud skills, experience with CI/CD pipelines, Docker/Kubernetes, and modern AI frameworks. On‑site in Memphis with collaboration across teams.

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