AI Platform Engineer II

Mindtris; Memphis (TN); On-site; USD 110,000 - 160,000; Full time

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

AI Platform Engineer II

Location: Memphis, TN
Seniority: Mid‑Level (II)
Duration: 18+ months
Work Authorization: Must be authorized to work in USA.

Job Summary

The AI Platform Engineer II supports the design, development, and delivery of AI solutions, focusing on either AI infrastructure (LLM platform, backend systems, cloud engineering) or AI application development (end‑user experiences, integrations). This role works independently on moderate features and short projects, collaborates with cross‑functional teams, and contributes to secure, scalable, and impactful AI solutions. Candidates are expected to demonstrate strong skills in one area, with opportunities to broaden their expertise through collaboration and learning. This role requires independent ownership of end‑to‑end feature delivery and mentoring of Engineer I‑level peers.

Responsibilities

Platform & Application Development

• 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

Security, Governance, and Observability

• Support the implementation of security, compliance, and governance controls for AI systems
• Assist with logging, monitoring, and reporting for auditability and usage insights

Engineering & DevOps

• 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

Collaboration & Delivery

• 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

Learning & Growth

• 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

Requirements

Required Qualifications:

• Bachelor's degree 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, GCP)
• Proficiency in at least one modern programming language (Python, Java, TypeScript, etc.)
• Experience with CI/CD pipelines and containerization (Docker, Kubernetes) 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

Equal Opportunity Employer

Mindtris is committed to fostering workforce diversity and is proud to be an equal opportunity employer.