Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 38 days ago

Software/Machine Learning Engineer - Agentic AI Systems - R139

Expedition Technology28 open roles

Pay
$95,600 – $147,200 a year
Where
Herndon, VA
Work mode
On site
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSoftware/Machine Learning Engineer - Agentic AI Systems - R139Expedition Technology · Herndon, VA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Expedition Technology's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.8% of postings close within 7 days. Measured by our own scanner across the market. Expedition Technology postings stay open a median of 7 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.8%7 days
  4. 20.6%14 days
  5. 35.6%30 days
  6. 58.4%60 days
This job: posted 38 days ago

Expedition Technology median: 7 days open

The posting

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.

Compensation Salary Ranges by Career Level: Early-career: $95,600 - $147,200 Mid-career: $130,300 - $209,900 Late-career: $154,600 - $242,900

We recognize that every candidate brings a unique combination of experience and expertise. This position may be filled at multiple career levels, and compensation within the posted range will be determined based on relevant experience, education, technical expertise, specialized skills, the level at which the position is filled, and other job-related considerations.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Expedition Technology's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Expedition Technology's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Expedition Technology's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.