Agentic AI Engineer (T02)

V2X•Indianapolis, IN

32d•Onsite

About The Position

V2X is seeking a skilled Agentic AI Engineer (T02) to join our Software Department in Indianapolis, Indiana. The ideal candidate is passionate about modern AI‑driven development practices and engineering techniques that accelerate capability delivery, improve mission effectiveness, and enhance overall team productivity. Candidates should have experience contributing to the design, development, and integration of agentic AI systems, including autonomous decision‑support tools, intelligent mission planning components, adaptive control mechanisms, multi‑sensor fusion capabilities, or AI‑enabled situational awareness technologies. We are looking for engineers who enjoy solving emerging technical challenges and are motivated by supporting our DoD customers and international partners. The Agentic AI Engineer collaborates across the system development lifecycle - from concept exploration and requirements refinement to model development, agentic workflow implementation, simulation, test, and integration. The role requires strong communication skills, effective teamwork, and the ability to translate mission needs into practical AI capabilities under the guidance of senior technical leaders.

Requirements

Must be a U.S. Citizen with the ability to obtain a DoD Secret Clearance
Typically 2-4 years of related engineering experience in systems, software, or hardware engineering
Hands-on experience designing and implementing agentic AI components or autonomous decision‑making capabilities
Strong proficiency in modern machine learning techniques, including model development, evaluation, and optimization
Experience building reasoning, planning, or multi-step workflow automation using AI agents
Ability to design and evaluate autonomous behaviors, control logic, and adaptive responses under guidance from senior engineers
Skilled in developing scalable AI pipelines, simulation tools, or experimentation environments
Solid understanding of safety, reliability, and assurance considerations for AI-driven systems
Proficiency with Python and common AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX, LangChain-style orchestration)
Ability to translate mission objectives and constraints into technical requirements and actionable development tasks
Experience with data engineering practices such as preprocessing, feature extraction, and sensor/mission data handling
Strong analytical problem-solving skills and ability to drive technical tasks to completion
Effective communication skills for describing AI system behavior, trade-offs, and design choices to teammates and stakeholders
Familiarity with distributed systems, cloud technologies, or edge compute environments for AI model deployment

Nice To Haves

Experience developing multi-agent systems or coordinating agentic workflows
Background in autonomous systems, robotics, or intelligent control
Familiarity with reinforcement learning, planning algorithms, or neuro-symbolic methods
Knowledge of mission data pipelines, sensor fusion, or real-time decision-support systems
Experience with high-assurance or safety-critical AI development approaches
Proficiency in designing AI evaluation frameworks, synthetic data generation, or simulation-based testing
Understanding of human-machine teaming concepts or explainable AI practices
Experience deploying AI models on edge compute platforms or constrained environments
Familiarity with model governance, ML Ops, or lifecycle management tooling
Experience supporting DoD, aerospace, or defense-oriented mission solutions

Responsibilities

Collaborate across the system development lifecycle - from concept exploration and requirements refinement to model development, agentic workflow implementation, simulation, test, and integration.
Design, develop, and integrate agentic AI systems, including autonomous decision-support tools, intelligent mission planning components, adaptive control mechanisms, multi-sensor fusion capabilities, or AI-enabled situational awareness technologies.
Translate mission needs into practical AI capabilities.
Support DoD customers and international partners.
Provide informal mentorship, support junior contributors, and collaborate effectively in a cross-functional team.
Contribute to architecture discussions, technology assessments, and long-term AI capability planning.