AI Platform Engineer II

Cook Systems; Memphis (TN); On-site; USD 110,000 - 140,000; Full time

Job summary

Cook Systems is seeking an AI Platform Engineer II to design, deliver, and improve AI solutions, focusing on either infrastructure or application development. The role requires independence in end-to-end feature delivery and mentoring engineers.

Responsibilities include building and maintaining AI gateways, API development, CI/CD, Docker/Kubernetes, security, governance, and collaboration with cross-functional teams in an agile environment.

Qualifications

• Bachelor's degree or equivalent in a relevant field.
• 5–7 years in software, infrastructure, or cloud engineering.
• Experience with AI infrastructure or AI application development.

Responsibilities

• Develop and maintain AI gateways, retrieval-augmented platforms, or AI-powered apps.
• Design and deploy backend AI infrastructure, cloud services and data pipelines or AI-powered user experiences, integrations, and APIs.
• Collaborate with enterprise systems and data sources to integrate AI solutions.
• Mentor Analyst and Engineer I-level peers; participate in Agile/Scrum processes.

Skills

Programming languages

Problem-solving

Collaboration

Communication

Education

Bachelor's degree in CS/SE/Infrastructure/Cloud

Tools

Docker

Kubernetes

LangChain

LlamaIndex

Semantic Kernel

REST/GraphQL/gRPC

Job description

Cook Systems has an immediate need for an AI Platform Engineer

AI Platform Engineer II

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.

Essential Job Functions

Platform & Application Development

• Contribute to the development and maintenance of LLM gateways, retrieval-augmented generation platforms, or AI-powered applications.
• 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 develops 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.
• Mentoring or reviewing work from Analyst and Engineer I-level team members

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, GCP).
• 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.

Impact

AI Platform Engineer II plays a key role in delivering secure, scalable, and impactful AI solutions, supporting both infrastructure and application development. This role enables teams to innovate and grow, while building personal expertise and contributing to the organization’s AI strategy. This role demonstrates full ownership of development cycles and contributes to mentoring junior engineers, representing a significant step in technical maturity.

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