- All applicants must be able to obtain/maintain an active Secret U.S. Security Clearance.
- This is an on-site position. Requiring at least 3 days in office, based out of our Arlington, VA or Mt. Laurel, NJ location.
Key Responsibilities
- Design and Build AI Solutions: Design and implement end-to-end agentic AI systems that support planning, reasoning, tool use, and multi-step execution in real-world environments. Build modular, testable components that move from prototype to operational capability.
- Integrate Models and Tools: Develop integrations across LLMs, APIs, data sources, and Model Context Protocol (MCP) interfaces to enable intelligent agents to interact with external systems, retrieve context, and take action safely and reliably.
- Develop Retrieval Pipelines: Build and optimize Retrieval-Augmented Generation (RAG) pipelines that connect models to live knowledge sources, structured data, and enterprise content to improve factual grounding, contextual relevance, and response quality.
- Engineer Conversational and Agentic Interfaces: Create conversational systems and intelligent agents with memory, contextual awareness, adaptive decision-making, and support for multi-turn user and system interactions.
- Implement and Evaluate AI Workflows: Translate technical objectives into working pipelines, run experiments, evaluate agent behavior, and iterate on prompts, orchestration logic, retrieval quality, and system performance to improve reliability and usability.
- Scope and Define Requirements: Gather, document, and validate technical and functional requirements from project artifacts, stakeholders, and mission needs to ensure feasibility, completeness, and alignment with operational goals.
- Collaborate Across Teams: Work closely with engineers, technical leads, and mission stakeholders to integrate AI capabilities into broader software and system architectures. Participate in technical reviews, design discussions, and delivery planning.
- Support Technical Quality: Contribute to testing, debugging, and performance optimization of AI-enabled applications, including edge cases involving context management, retrieval failures, tool execution, and orchestration logic.
- Learn and Apply Emerging Practices: Stay current on advances in LLMs, agent frameworks, orchestration methods, and applied AI engineering practices, and bring that knowledge into practical system design and implementation.
- Communicate Technical Work: Clearly document architectures, workflows, assumptions, and implementation decisions so that solutions are maintainable, explainable, and transferable across teams.
Skills, Knowledge & Expertise
- Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Applied Mathematics, Artificial Intelligence, or a related technical field, or equivalent full-time professional experience
- 0–3 years of full-time professional experience in software engineering, machine learning engineering, AI engineering, or related technical roles
- Ability to travel up to 10% of the time as needed
- Proficiency in Python, including experience with core libraries such as NumPy and Pandas
- Experience building software with one or more modern AI/ML frameworks such as PyTorch, TensorFlow, LangChain, LangGraph, Semantic Kernel, or AutoGen
- Familiarity with Large Language Models (LLMs), prompt engineering, agent orchestration, or conversational AI systems
- Familiarity with retrieval systems, vector databases, embeddings, or RAG-based application design
- Understanding of software engineering fundamentals, including version control, testing, debugging, and writing maintainable code
- Ability to work independently on technical tasks while collaborating effectively in a team environment
- Strong problem-solving skills, curiosity, and a builder mindset focused on turning ideas into working systems
- Experience building agentic AI systems that use tools, memory, planning, or multi-step execution
- Familiarity with Model Context Protocol (MCP) integrations or similar model-to-tool integration patterns
- Experience deploying AI services, APIs, or workflows in cloud or production environments
- Experience with vector databases, retrieval infrastructure, knowledge graph integration, or enterprise search
- Exposure to evaluation methods for LLMs and agents, including reasoning quality, hallucination reduction, tool-use reliability, and retrieval performance
- Experience with Docker, REST APIs, Git-based development workflows, or CI/CD pipelines
- Experience working on defense, government, or other mission-oriented technical programs
- Strong interest in building practical AI systems that must operate reliably in complex, real-world environments
Job Benefits
IDT is a growing company with a vibrant, entrepreneurial culture. We are headquartered in Arlington, VA with additional offices in Fall River, MA; Mount Laurel, NJ; and San Diego, CA. At each location, our employees work together in a modern, snack-filled, and social office space, designing innovative solutions for our defense industry customers. We offer employees competitive pay and benefits including:
- Generous benefits package
- Competitive PTO
- Paid holidays
- 401(k) with immediate vesting and matching
- 9/80 optional schedule (2nd and 4th Friday off every month)
- Tuition Assistance Reimbursement Program
- Professional Development Resources
- Pre-Tax Commuter Benefits
- Organization-Wide Monthly Tech Connect Events
- Annual Employee Recognition Awards
- Regular Social Events and Catered Lunches
About
Innovative Defense Technologies (IDT) is a leading defense technology company focused on rapidly delivering mission-critical software and systems solutions to the U.S. government. The company specializes in automation, digital engineering, and enabling the rapid integration of advanced capabilities into complex weapon and combat systems. These essential solutions empower the warfighter to field, operate, and sustain decisive capability at speed and scale. At IDT, our employees are developing advanced mission-critical outcomes by consistently delivering high-quality results, fostering innovation, applying rigorous problem-solving, and effectively collaborating across multifaceted teams and stakeholders. Grounded in these competencies, IDT translates complex customer priorities into robust software solutions.
Skills Required
- Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Applied Mathematics, AI, or related field, or equivalent experience
- 0-3 years of full-time professional experience in software engineering, ML engineering, AI engineering, or related technical roles
- Ability to obtain and maintain an active Secret U.S. Security Clearance
- On-site work with at least 3 days per week at Arlington, VA or Mt. Laurel, NJ
- Ability to travel up to 10% as needed
- Proficiency in Python, including experience with NumPy and Pandas
- Experience building software with one or more modern AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, LangGraph, Semantic Kernel, AutoGen)
- Familiarity with Large Language Models (LLMs), prompt engineering, agent orchestration, or conversational AI systems
- Familiarity with retrieval systems, vector databases, embeddings, and RAG-based application design
- Understanding of software engineering fundamentals including version control, testing, debugging, and writing maintainable code
- Ability to work independently on technical tasks and collaborate effectively in a team
- Strong problem-solving skills, curiosity, and a builder mindset
- Experience building agentic AI systems that use tools, memory, planning, or multi-step execution
- Familiarity with Model Context Protocol (MCP) integrations or similar model-to-tool integration patterns
- Experience deploying AI services, APIs, or workflows in cloud or production environments
- Experience with vector databases, retrieval infrastructure, knowledge graph integration, or enterprise search
- Exposure to evaluation methods for LLMs and agents (reasoning quality, hallucination reduction, tool-use reliability, retrieval performance)
- Experience with Docker, REST APIs, Git-based workflows, or CI/CD pipelines
- Experience working on defense, government, or mission-oriented technical programs
What We Do
WHO WE ARE Innovative Defense Technologies -IDT- provides automated software testing, data analysis, and cybersecurity solutions for the DOD's mission-critical systems. Using patented Automated Test and ReTest (ATRT) technology, we support the entire software testing lifecycle from component testing, to system integration and testing, to the analysis of results. Our automated test and analysis solutions enable the rapid update and delivery of large, complex systems. Our technologies offer: -Rapid system configuration assessment and validation -Repeatable, consistent testing, analysis and reporting -On-demand regression tests in response to cyber threats -Statistical rigor in test and analysis -Reduced time and manpower At IDT, we work closely with our customers to tailor our products to support their systems and meet their goals. IDT has the expertise, strategies and processes in place to provide an automated solution for your next project. Let us help you dramatically accelerate test execution time, expand test coverage and improve software quality. OUR MISSION Our mission is to enable new software capabilities to be fielded faster and more affordably by reducing the amount of time and the cost spent on software testing. Through the use of our software testing technology, IDT is changing the way testing is being done for large, complex, software systems.









