Agentic AI Software 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

Job Summary

The Agentic AI Software Engineer designs, develops, and deploys advanced AI-powered software solutions, with a focus on autonomous AI agents, multi-agent systems, LLMs, and scalable cloud-native applications. The role covers the full software development lifecycle and involves building microservices, APIs, AI agent workflows, RAG architectures, agent memory systems, and modern software applications. The engineer will collaborate with cross-functional teams in an Agile environment to develop and improve next-generation AI capabilities.

Key Responsibilities

• Design, develop, and maintain scalable software solutions supporting Agentic AI capabilities.
• Architect and implement autonomous agent systems, reasoning engines, and multi-agent workflows.
• Integrate AI agents with enterprise applications and distributed systems using APIs and modern architectures.
• Manage the full software development lifecycle from requirements and design through deployment and sustainment.
• Develop clean, maintainable, testable, and efficient software.
• Build and maintain microservices and RESTful APIs.
• Collaborate with engineers, architects, product managers, and mission stakeholders.
• Participate in Agile/Scrum activities, including sprint planning, stand-ups, reviews, and retrospectives.
• Develop and execute unit, integration, and system testing.
• Troubleshoot, optimize, and improve application performance across cloud and on-premise environments.
• 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 to improve system reliability.
• Support CI/CD, DevSecOps, source control, and modern software development practices.

Required Qualifications

• Active TS/SCI U.S. Government security clearance with adjudicated Polygraph.
• Bachelor's degree in Computer Science or a related technical field.
• 8+ years of professional software engineering experience.
• Significant experience with Python and object-oriented programming languages.
• Strong understanding of the full Software Development Lifecycle (SDLC).
• Proficiency with Git and modern source-control platforms such as GitLab or GitHub.
• Experience with branching strategies, code reviews, and CI/CD pipelines.
• Experience with Jira, Confluence, or equivalent tools.
• Experience developing microservices and RESTful APIs.
• Experience working in Agile/Scrum environments.
• Hands-on experience developing with LLMs or AI agents.
• Experience with an agent framework such as LangGraph, CrewAI, AutoGen, Pydantic AI, or similar.
• Familiarity with MCP, A2A, tool-use, or function-calling.
• Experience with RAG architectures, vector databases, or agent memory systems.Experience with prompt engineering or LLM evaluation and reliability techniques.
• Strong communication, collaboration, analytical, and problem-solving skills.

Desired Qualifications

• Experience with AWS or Azure.
• Experience deploying and managing Kubernetes environments with Helm.
• Experience with React or Angular.
• Familiarity with JavaScript and/or TypeScript.
• Experience with DevSecOps and CI/CD practices.
• Experience with Git, GitLab, Jira, and Confluence.
• IAT Level II or III certification such as Security+, CISSP, or CASP.