---
title: 'Software/Machine Learning Engineer - Agentic AI Systems - R139 at Expedition Technology'
canonical: 'https://feeny.ai/job/software-machine-learning-engineer-agentic-ai-systems-r139-expedition-sjyz438s8584'
type: 'job'
last_seen: '2026-09-05'
---

# Software/Machine Learning Engineer - Agentic AI Systems - R139 at Expedition Technology

- **Company:** Expedition Technology
- **Location:** Herndon, VA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-29
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.gem.com/expedition-technology/am9icG9zdDqZUF8XaptNjMj4-bWbMMe2

## Job description

Expedition Technology (EXP) is seeking a Software / Machine Learning Engineer who enjoys building intelligent systems that combine machine learning, automation, and modern software engineering. We’re looking for engineers who can develop scalable production software while integrating machine learning models, AI services, and automated workflows to solve challenging real-world problems.

This role focuses on building next-generation AI-enabled systems that orchestrate machine learning models, gather and analyze information from multiple sources, and deliver actionable results to users in mission environments. We hire people who excel at what they do and empower them to innovate with flexibility and autonomy.

As a member of our team, you will:

- Work with a talented, collaborative team in an Agile environment to develop new AI-enabled capabilities.
- Design and develop software systems that integrate machine learning models into operational workflows.
- Build agentic workflows that can automatically perform inference, gather additional information, query tools and services, and disseminate results.
- Develop and maintain scalable backend services using Python, containerized technologies, and cloud-native architectures.
- Collaborate with engineers and researchers to deploy and operationalize machine learning capabilities.
- Design and implement APIs and data pipelines that support model execution, information retrieval, and downstream consumers.
- Develop retrieval-based and knowledge-enhanced workflows to support difficult reasoning and analysis tasks.
- Contribute to SDLC best practices, automated testing, and software quality initiatives.
- Identify and resolve performance, scalability, and reliability bottlenecks across the system.
- Help shape the architecture of next-generation AI and machine learning systems.

Qualifications we're seeking:

- U.S. Citizenship; ability to obtain and maintain a U.S. Government security clearance.
- Active Secret clearance at minimum. Active TS/SCI security clearance strongly preferred.
- BA/BS or higher in Computer Science, Computer Engineering, Data Science, Applied Mathematics, or a closely related field.
- 3+ years of experience developing production software using Python.
- Experience designing and implementing backend services and APIs.
- Experience building, deploying, integrating, or supporting machine learning systems.
- Familiarity with cloud-native environments and AWS services.
- Experience with Docker, Kubernetes, or other containerized deployment technologies.
- Understanding of machine learning workflows, model deployment, and inference pipelines.
- Familiarity with retrieval systems, knowledge-based systems, search technologies, or RAG architectures.
- Experience integrating multiple services, APIs, or models into end-to-end workflows.
- Comfortable working in Linux environments and using command-line tooling.
- Experience using Git-based development workflows and software engineering best practices.
- Ability to work independently while collaborating effectively within a multidisciplinary team.
- Strong desire to learn new technologies and solve challenging technical problems.

Preferred Qualifications:

- Experience with large language models (LLMs), agentic systems, or AI workflow orchestration.
- Experience with computer vision, object detection, or multi-modal machine learning systems.
- Experience with distributed systems, event-driven architectures, or message-based processing.
- Experience deploying ML applications in AWS environments.
- Experience supporting systems in classified or mission-critical environments.

## About Expedition Technology

## Company Overview
- **One-liner**: Expedition Technology (EXP) applies AI/ML, signal processing, and computer vision to deliver signals intelligence and multi-INT solutions for the U.S. defense and intelligence communities.
- **Entity Type**: Private (Bootstrapped)
- **Headquarters**: Herndon, Virginia, USA
- **Founded**: 2013
- **Founders**: Not publicly available

## Core Business
- **Primary Industries**: Defense & National Security, Artificial Intelligence, Advanced Signal Processing, Intelligence, Surveillance, and Reconnaissance (ISR/C4ISR)
- **Target Customers**: U.S. Department of Defense, Intelligence Community (IC), and prime defense contractors (B2G/Enterprise)
- **Mission or Purpose Statement**: Build innovative, advanced signal, image, and multi-INT solutions to solve customers’ most complex, demanding, and urgent C4ISR challenges, preserving national safety.

## Products & Services
EXP is a research and development (R&D) services and product-oriented company. They do not market off-the-shelf consumer products; they develop custom, mission-focused solutions:
- **Signal Processing Solutions**: Combining traditional signal processing with machine learning algorithms to process gigasamples of data at the edge and in the cloud.
- **Computer Vision Solutions**: Detecting and tracking real-world objects across multiple sensing modalities, capable of performing with scarce training data.
- **Deep Learning Solutions**: Researching and deploying novel neural networks for real-time, raw sensor data challenges.
- **Embedded Systems Solutions**: Implementing FPGA and GPU subsystems for image and signal data classification.
- **Web / Cloud / DevOps**: Building robust, secure solutions using Docker, Kubernetes, and CloudFormation with a focus on CI/CD and automation.

## Market Standing
- **Valuation**: Not publicly available (private, non-VC-backed entity).
- **Key Metric**: Over a decade of sustained operations (founded 2013) with a strong reputation in the defense tech sector.
- **Notable Clients/Partners**: U.S. Department of Defense, Intelligence Community (IC), and prime defense contractors. The company’s work is classified and unclassified.
- **Growth Signals**: Active hiring in multiple technical areas (Computer Vision, Deep Learning, Embedded Systems, Cloud) indicates consistent demand and growth. The company states their skills are “in high demand.”

## Competitive Advantages
- **Deep Domain Expertise**: Specialized in a highly technical intersection of AI/ML, signal processing, and national security, creating a high barrier to entry.
- **Research-Driven Culture**: Actively performs applied research to advance the state of the art, differentiating them from pure implementation contractors.
- **Unique Organizational Model**: Operates as a “team of teams” using coaches instead of traditional managers, designed to foster autonomy, continuous learning, and rapid reconfiguration for specific project goals.
- **Product-Oriented Mindset**: Unlike many government-services firms, EXP focuses on seeing ideas through to actualized, deployable products.

## Strategic Focus
- **Continuous Research & Innovation**: Keeping pace with and pushing the boundaries of AI/ML, sensor processing, and edge computing to solve urgent national security problems.
- **Talent Retention & Development**: Investing heavily in a unique coaching and benefits model to attract and keep top-tier technical talent in a competitive defense-tech labor market.
- **Agile, Client-Centric Delivery**: Maintaining flexibility in project planning to meet specific, unique mission requirements of the DoD and IC.

## Why Work Here
- **Unique Management Structure**: Replaces traditional “bosses” with “coaches” who advocate for career progression and connect employees to learning opportunities. Employees choose their own coach annually.
- **Exceptional Benefits & Flexibility**:
    - **Individual Benefit Account (IBA)**: Employees receive a pool of funds to allocate as they wish across healthcare, PTO, and a bonus. Unused IBA dollars are paid out at year-end.
    - **Flexible Cash PTO**: Can take up to 45 days of PTO per calendar year and can cash out unused time.
    - **Retirement**: Up to 12% contribution to a 401(k) (employer match/profit sharing) plus student loan repayment plans.
    - **Parental Leave**: 12 weeks paid for primary caregivers; 2 weeks for secondary.
- **Learning Culture**: Autonomy to guide careers with support from coaches. Benefits include tuition assistance, conference attendance, and internal “brown bag” discussions.
- **Mission-Driven Work**: The opportunity to work on cutting-edge technology that directly impacts national security.
- **Work Policy**: Likely on-site or hybrid, given the classified nature of much of the work (Herndon, VA location).
- **Commitment to Accessibility**: Explicit accommodations policy for candidates with disabilities.

## Sources
1. [exptechinc.com](https://www.exptechinc.com/)
2. [exptechinc.com](https://www.exptechinc.com/careers/)
3. [exptechinc.com](https://www.exptechinc.com/about-us/)
4. [exptechinc.com](https://www.exptechinc.com/exp-why-were-different-benefits/)
5. [exptechinc.com](https://www.exptechinc.com/expedition-technology-why-were-different-continuous-learning-career-progression-and-coaching/)
6. [jobs.gem.com](https://jobs.gem.com/expedition-technology)

## Other roles at Expedition Technology

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