NextGen Federal Systems
Engineering
Application/AgenticAIEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Application/Agentic AI Engineer at NextGen Federal Systems. Skills: Agentic AI, AI/ML integration, Software engineering, Workflow orchestration. Translate mission workflows into agentic AI solutions. Design, develop, maintain agent definitions”
What You'll Achieve.
Improve decision-making; Improve automation; Improve user interaction; Develop scalable AI-enabled solutions; Enable scalable customer development
Industry & Context.
Problem-solving; Troubleshooting; Analytical skills
Active Security Clearance
What They're Looking For.
Must Have
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, analytical, troubleshooting, and problem-solving skills, Ability to communicate technical concepts effectively to both technical and non-technical stakeholders, Active Security Clearance
Nice to Have
Experience with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar technologies, Familiarity with AI model deployment, inference optimization, and scalable AI architecture, Experience supporting government, defense, intelligence, or mission-focused environments, Experience with AWS, Azure, or Google Cloud AI services, Familiarity with cybersecurity best practices and secure software development, Experience developing operational workflows using AI agents, automation pipelines, or decision-support systems
What You'll Do.
Translate mission workflows into agentic AI solutions
maintain agent definitions
Develop workflow-specific AI specialists
Build and maintain AI testing and evaluation suites
Analyze failed agent test results
Integrate AI agents into environments
Support deployment and sustainment of AI applications
Train customer agent creators
Develop reusable templates and guides
Collaborate with cross-functional teams
Contribute to continuous improvement
How You'll Work.
Team & Collaboration
Collaborate with customer SMEs and operational stakeholders; Collaborate with operational users, engineers, and program stakeholders; Collaborate with cross-functional engineering, operations, cybersecurity, and product teams
Communication Scope
Communicate technical concepts effectively
Full Job Description
## Description NextGen is seeking a highly motivated and technically skilled Application/Agentic AI Engineer to support the integration, and deployment of modern AI-enabled applications and agentic AI capabilities in support of mission objectives using ReadiChat. ReadiChat is a mission-focused, agentic AI platform designed to help organizations build, deploy, govern, and scale specialized AI agents for operational workflows. It combines AI agents, workflow orchestration, grounded knowledge, testing frameworks, and enterprise controls into a single collaborative workspace. The selected candidate will work across software engineering, AI/ML integration, workflow orchestration, and operational problem-solving to develop intelligent systems that improve decision-making, automation, and user interaction in complex environments. This role requires a blend of software engineering expertise, AI integration experience, systems thinking, and the ability to collaborate directly with operational users, engineers, and program stakeholders to translate mission requirements into scalable AI-enabled solutions. ## Responsibilities Partner with customer SMEs and operational stakeholders to translate mission workflows and operational requirements into agentic AI solutions, including intelligent agents, workflow specialists, guardrails, tools, and validation frameworks. Design, develop, and maintain agent definitions and configurations, including objectives, behavioral instructions, input/output contracts, safety policies, operational constraints, and tool utilization rules. Develop workflow-specific AI specialists and reusable agent patterns to support operational and enterprise use cases while maintaining clear functional boundaries and scalable architectures. Build and maintain comprehensive AI testing and evaluation suites, including gold-standard input/output validation, adversarial testing, guardrail validation, scope-boundary testing, tool-use validation, regression testing
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