Senior Agentic AI Systems Engineer

Vets Hired; King of Prussia (PA); On-site; USD 140,000 - 210,000; Full time

Job summary

Agentic AI Software Engineer at Vets Hired designs, develops, and deploys AI-powered software solutions, focusing on autonomous agents, multi-agent systems, LLMs, and scalable cloud-native apps. You will build microservices, APIs, AI agent workflows, RAG architectures, and agent memory systems, collaborating with cross-functional teams in an Agile environment to advance AI capabilities.

The role covers the full software development lifecycle, emphasizes clean, maintainable code, and requires

Qualifications

• Active TS/SCI clearance with polygraph.
• 4),
• Bachelor's degree in Computer Science or related field.
• 8+ years of professional software engineering experience.
• Strong Python and OO programming experience.
• Full SDLC expertise.
• Git and modern source-control platforms (GitLab/GitHub).
• CI/CD pipelines knowledge.
• Jira/Confluence experience.
• Microservices and RESTful APIs experience.
• Agile/Scrum experience.
• Hands-on with LLMs or AI agents.
• Experience with agent frameworks (LangGraph/CrewAI/AutoGen).
• Familiarity with MCP, A2A, tool-use or function-calling.
• RAG architectures, vector databases, agent memory.
• Prompt engineering and LLM evaluation.
• DevSecOps and CI/CD practices.

Responsibilities

• Design, develop, and maintain scalable software solutions supporting Agentic AI capabilities.
• Architect and implement autonomous agent systems and multi-agent workflows.
• Integrate AI agents with enterprise apps and distributed systems via APIs.
• Manage full software development lifecycle from requirements to deployment.
• Develop clean, maintainable, and efficient software.
• Build and maintain microservices and RESTful APIs.
• Collaborate with engineers, architects, product managers, and stakeholders.
• Participate in Agile/Scrum activities (planning, stand-ups, reviews).
• Develop and execute unit, integration, and system tests.
• Troubleshoot and optimize application performance across cloud/on-premise.
• Evaluate emerging AI frameworks, tools, and software engineering approaches.
• Develop solutions using LLMs and AI agent technologies.
• Implement agent frameworks, tool-use, function-calling, and agent communication protocols.
• Support RAG architectures, vector databases, and agent memory systems.
• Apply prompt engineering and AI evaluation techniques.
• Support CI/CD, DevSecOps, and source control practices.

Skills

Clearance: TS/SCI

Python

SDLC

Git

CI/CD

Agile/Scrum

LLMs/AI agents

Agent frameworks

Communication skills

Education

Bachelor's degree in Computer Science

Tools

GitLab

GitHub

Jira

Confluence

Kubernetes

LLM tooling

Job description

Agentic AI Software Engineer at Vets Hired designs, develops, and deploys AI-powered software solutions, focusing on autonomous agents, multi-agent systems, LLMs, and scalable cloud-native apps. You will build microservices, APIs, AI agent workflows, RAG architectures, and agent memory systems, collaborating with cross-functional teams in an Agile environment to advance AI capabilities.

The role covers the full software development lifecycle, emphasizes clean, maintainable code, and requires