Application / Agentic AI Engineer

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 defi [... source excerpt omitted ...] port the deployment, sustainment, troubleshooting, and optimization of AI-enabled applications and agentic workflows across cloud, edge, and hybrid environments. Train and mentor customer agent creators on Agent Builder workflows, publishing processes, testing methodologies, maintenance procedures, and operational best practices. Develop reusable templates, workflow examples, implementation guides, and best-practice documentation to enable scalable and consistent customer development of agentic AI solutions. Collaborate with cross-functional engineering, operations, cybersecurity, and product teams to ensure AI-enabled capabilities align with mission objectives, security requi [... source excerpt omitted ...] constraints. Contribute to continuous improvement efforts for AI-enabled applications, orchestration frameworks, testing methodologies, and software delivery pipelines. Required 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 (LLM