AI Integration Engineer (Python + Kubernetes)

IAMUS Consulting; Columbia (MD); Hybrid; USD 139,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Disability insurance

Retirement plans (401k)

Job summary

IAMUS Consulting is seeking a Software Engineer focused on AI Integration to design, develop, and deploy Python-based components for a core agentic platform. The role emphasizes Kubernetes orchestration, secure AI guardrails, and integration with internal APIs.

You will build MCP servers, reusable AI skills, and collaborate with teams to expose their Java APIs to AI agents while maintaining strong testing and Linux command-line proficiency. Hybrid work at Columbia, MD is required.

Qualifications

• 5+ years in software engineering focusing on Python backend development and a related degree.
• Experience deploying containerized workloads in Kubernetes (K8s).
• Hands-on AI integration experience with LLM APIs or open-source models.

Responsibilities

• Design and develop Python-based components for the core agent platform.
• Deploy, manage, and scale applications in Kubernetes environments.
• Build MCP servers and a library of reusable skills to enable safe AI agent interactions.

Skills

Python backend

Kubernetes

AI integration

RESTful APIs

Git/CI/CD/Docker

Linux CLI

Hybrid work readiness

Education

Bachelor's degree in related field

Master's degree in related field

Tools

Docker

Git

CI/CD pipelines

Job description

IAMUS Consulting is seeking a Software Engineer focused on AI Integration to design, develop, and deploy Python-based components for a core agentic platform. The role emphasizes Kubernetes orchestration, secure AI guardrails, and integration with internal APIs.

You will build MCP servers, reusable AI skills, and collaborate with teams to expose their Java APIs to AI agents while maintaining strong testing and Linux command-line proficiency. Hybrid work at Columbia, MD is required.