AI Platform Engineer II

Cook Systems has an immediate need for an AI Platform Engineer

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 develops APIs and automation scripts for data integration and platform scalability.

Support the implementation of security, compliance, and governance 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 Dev Ops 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.

Mentoring or reviewing work from Analyst and Engineer I-level team members

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 (Lang Chain, Llama Index, Semantic Kernel, etc.) or cloud-native development (AWS, Azure, GCP).

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

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

Strong problem-solving and collaboration skills.

Excellent written and verbal communication skills.

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

Exposure to enterprise security and compliance frameworks.

Familiarity with monitoring/observability stacks (Splunk, AWS Cloud Trail, Science Logic).

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

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.