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

Open nowPosted 7 hours ago

Machine Learning Infrastructure Engineer - LLM & Agentic AI

Stellar Cyber

Where
United States
Work mode
Remote
Get the CV for this job

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

Your applicationOpen nowMachine Learning Infrastructure Engineer - LLM & Agentic AIStellar Cyber · United States

  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 Stellar Cyber'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.

12.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.4%7 days
  4. 20.0%14 days
  5. 35.5%30 days
  6. 58.6%60 days
This job: posted 7 hours ago

The posting

Join a fast-growing global leader in cybersecurity, trusted by some of the biggest names in the industry. In addition to some of the world’s largest enterprises and government agencies, more than 30% of the world’s top MSSPs rely on our platform. We’re at the forefront of protecting organizations against sophisticated cyber threats using cutting-edge AI and automation technologies. Our culture is built on diversity, openness, and collaboration, fostering creativity and innovation that drives real impact in the market.

We are looking for a highly skilled Machine Learning Infrastructure Engineer with a passion for building robust and scalable systems to power Stellar Cyber’s Autonomous SOC applications. In this role, you will be at the forefront of AI infrastructure innovation, responsible for developing the foundational components that enable intelligent agents to work like true SOC analysts to operate in dynamic SecOps environments.

Responsibilities

  • Design and build Agentic AI frameworks to orchestrate LLM-based agents capable of reasoning, planning, and executing SecOps tasks in Stellar Cyber’s Open XDR platform.
  • Design and develop scalable LLM inference infrastructure that supports runtime- and cost-efficient serving and resource management across LLM hosting providers.
  • Develop MCP servers that interact with Open XDR platform services and features, and integrate with LLM-based agents.
  • Develop other supporting API services necessary for Autonomous SOC applications to provide reliable and extensible interface for agent operations.
  • Collaborate closely with machine learning / security researchers, UI / backend / infrastructure engineers, and product management to align infrastructure with evolving product needs.

Requirements

  • Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience.
  • 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
  • 2 years of experience with data structures or algorithms in either an academic or industry setting.
  • 2 years of experience with developing backend infrastructure, distributed systems, APIs (REST / gRPC), and microservices for MLOps related projects.
  • Experience with cloud computing technologies, including containerization, orchestration, and deployment (Docker, Kubernetes, etc).
  • Experience in one or more of the following programming languages: Python, Java, Go.

Preferred Qualifications

  • Experience working on LLM applications in high-sensitivity domains (e.g., finance, defense, health).
  • Experience with Generative AI frameworks (e.g., LangChain, LangGraph, AutoGen, or other frameworks) and technologies (prompt engineering, vector databases, RAG, etc.).
  • Experience with observability practices in ML systems (e.g., metrics, cost tracking).
  • Experience deploying and scaling LLMs for inference using frameworks such as vLLM, llama.cpp, and etc.
  • Experience working on ML platform teams and/or building tools for researchers.
  • Knowledge of SecOps concepts, activities, workflows is a plus.

Benefits

We pride ourselves in recognizing our employees. Here are some examples of our benefits program:

  • Pre-IPO Stock Options
  • Medical, Dental & Vision care
  • 401(k)
  • Employee Assistance Program
  • Employee Discount Program
  • Life Insurance
  • Paid time off
  • Referral Program
  • Rewards and Recognition Program

Why Join Us

  • Work at the forefront of cybersecurity innovation within a dynamic, fast-growing team.
  • Opportunity to significantly influence and shape the integration architecture of a next-generation SecOps platform powered by AI and automation.
  • Competitive salary, comprehensive benefits, and ample career growth opportunities.

The base compensation range for this role is USD 150,000-215,000 per year. Total compensation includes bonus opportunity and equity, and will vary based on candidate location.

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 Stellar Cyber'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 Stellar Cyber'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

    Stellar Cyber'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

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.