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

Open nowPosted 2 days ago

Senior Artificial Intelligence/Machine Learning Engineer

Jobgether3,933 open roles

Where
US
Work mode
Remote
Get the CV for this job

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

Your applicationOpen nowSenior Artificial Intelligence/Machine Learning EngineerJobgether · US

  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 Jobgether'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.

8.3% of postings close within 7 days. Measured by our own scanner across the market. Jobgether postings stay open a median of 6 days.

Share of postings closed within
  1. 1.9%1 day
  2. 4.0%3 days
  3. 8.3%7 days
  4. 15.3%14 days
  5. 34.2%30 days
This job: posted 2 days ago

Jobgether median: 6 days open

The posting

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Artificial Intelligence/Machine Learning Engineer based in United States .

This is a senior, hands-on engineering role focused on designing and delivering production-grade agentic AI systems for enterprise environments. You will build autonomous AI agents using an established enterprise AI stack, combining Glean with OpenAI/GPT Enterprise and cloud infrastructure on AWS or GCP. You will own solutions end to end, from architecture and development through production deployment, monitoring, evaluation, and continuous improvement. The role requires treating AI agents as reliable software systems, with careful attention to retrieval, reasoning, permissions, actions, security, and observability. You will work on technically complex initiatives where reliability, scalability, and maintainability are essential. This is an opportunity to apply advanced LLM and agentic AI expertise to high-impact enterprise use cases while working alongside experienced technology professionals.

Accountabilities

  • Design and develop production-grade agentic AI systems that can reliably support real enterprise users and business workflows.
  • Build autonomous agents using Glean as the agent platform and OpenAI/GPT Enterprise as the reasoning layer, deployed within AWS or GCP environments.
  • Own AI agents throughout their full lifecycle, including architecture, implementation, production deployment, monitoring, evaluation, troubleshooting, and iteration.
  • Design robust agent workflows incorporating triggers, retrieval, multi-step reasoning, tool and function calling, actions, permissions, and memory.
  • Implement retrieval-augmented generation and enterprise search capabilities while ensuring high-quality retrieval and appropriate runtime permission enforcement.
  • Establish evaluation frameworks and measurable quality standards to assess agent performance systematically rather than relying solely on manual inspection.
  • Optimize AI systems for reliability, security, maintainability, cost efficiency, and latency at enterprise scale.
  • Apply strong observability and production engineering practices to identify issues, improve system performance, and support continuous iteration.
  • Bring 3+ years of hands-on experience building and operating LLM-powered systems in production environments used by real customers or users.
  • Demonstrate practical experience designing agentic AI workflows, including tool and function calling, retrieval-augmented generation (RAG), multi-step orchestration, and memory.
  • Have deep hands-on experience with the OpenAI API and GPT Enterprise, including model selection, prompt engineering, structured outputs, function calling, cost and latency optimization, and enterprise data-handling controls.
  • Demonstrate strong prompt-engineering discipline and an evaluation-first mindset, with experience using measurable evaluations to assess and improve agent quality.
  • Have direct, hands-on production experience with Glean, including Agent Builder, Apps, Actions, Model Hub, connectors, and permission-aware retrieval; this is a mandatory requirement for the role.
  • Possess working knowledge of enterprise search and RAG architectures on Glean, including indexing, connectors, retrieval quality, and runtime permission enforcement.
  • Understand how to approach AI agents as production software, with strong awareness of reliability, security, observability, scalability, and maintainability.
  • Demonstrate strong analytical and problem-solving abilities, combined with the ability to work independently on technically complex AI engineering challenges.
  • Communicate effectively with technical and business stakeholders and collaborate within a global, multidisciplinary engineering environment.
  • Work alongside highly skilled technology professionals in a collaborative, friendly, and open-door environment.
  • Contribute to large-scale projects with global impact while expanding your expertise in advanced AI and machine learning technologies.
  • Access tailored learning opportunities, including internal meetups, conferences, workshops, Udemy courses, language training, and company-paid certifications.
  • Explore internal mobility opportunities across diverse domains and projects to build hands-on experience with emerging technologies.
  • Benefit from healthcare coverage, Basic Life Insurance, and short- and long-term disability insurance in accordance with the applicable benefits plans.
  • Work remotely from Canada while contributing to enterprise-scale AI initiatives and innovative technology projects.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1

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 Jobgether'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 Jobgether'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

    Jobgether'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.