Agentic AI Engineer - Cloud-Native Orchestration

Jobtailor; Aberdeen (MD); On-site; USD 130,000 - 210,000; Full time

Job summary

Jobtailor in Aberdeen, MD seeks an experienced software engineer to translate mission workflows into agentic AI solutions and maintain agent definitions, safety policies, and tool-use rules. You will design reusable AI patterns and orchestration workflows for enterprise use.

You will build and run AI testing suites, analyze failures, and integrate AI agents into existing applications, following DevSecOps practices across cloud, edge, and hybrid environments.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or related technical discipline.
• 3+ years of experience in software engineering, application development, or AI/ML integration.
• Experience developing applications using Python, JavaScript, TypeScript, Java, or similar modern programming languages.
• Experience integrating APIs, microservices, and data services into enterprise or operational applications.
• Familiarity with Large Language Models (LLMs), prompt engineering, AI orchestration frameworks, or agentic AI concepts.
• Experience with cloud-native technologies and containerized environments such as Docker and Kubernetes.
• Understanding software development lifecycle (SDLC), DevSecOps, and CI/CD methodologies.
• Experience with Git-based version control and collaborative development workflows.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
• Active Security Clearance is required.
• Desired: Experience with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar technologies
• Desired: Familiarity with AI model deployment, inference optimization, and scalable AI architecture
• Desired: Experience supporting government, defense, intelligence, or mission-focused environments
• Desired: Experience with AWS, Azure, or Google Cloud AI services
• Desired: Familiarity with cybersecurity best practices and secure software development
• Desired: Experience developing operational workflows using AI agents, automation pipelines, or decision-support systems

Responsibilities

• Translate mission workflows and operational requirements into agentic AI solutions with intelligent agents and tooling
• Design, develop, and maintain agent definitions, objectives, and safety policies
• Develop workflow-specific AI specialists and reusable agent patterns
• Build AI testing and evaluation suites, including validation and adversarial testing
• Analyze failed or degraded agent tests to improve performance
• Integrate AI agents and services into applications following DevSecOps practices
• Support deployment and sustainment of AI-enabled workflows across cloud/edge/hybrid environments
• Train customer agents on Builder workflows, testing and maintenance
• Develop reusable templates, guides, and best-practice documentation
• Collaborate with engineering, security, and product teams to align AI capabilities with objectives
• Contribute to continuous improvement of AI applications and delivery pipelines

Skills

Python Development

AI Orchestration Frameworks

Cloud-native Technologies

DevSecOps Practices

Active Security Clearance

Education

Bachelor's degree in Computer Science

Tools

Docker

Kubernetes

AWS

Azure

Google Cloud AI Services

Job description

Jobtailor in Aberdeen, MD seeks an experienced software engineer to translate mission workflows into agentic AI solutions and maintain agent definitions, safety policies, and tool-use rules. You will design reusable AI patterns and orchestration workflows for enterprise use.

You will build and run AI testing suites, analyze failures, and integrate AI agents into existing applications, following DevSecOps practices across cloud, edge, and hybrid environments.