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

Open nowPosted 11 days ago

Research Engineer – AI Agents & LLM Systems F/M

adoc-tm25 open roles

Where
Paris, France
Get the CV for this job

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

Your applicationOpen nowResearch Engineer – AI Agents & LLM Systems F/Madoc-tm · Paris, France

  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 adoc-tm'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.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 11 days ago

The posting

Company

Adoc Talent Management is recruiting a Research Engineer – AI Agents & LLM Systems (F/M) for its client, a global technology company expanding its AI research activities in Europe. You will join the AI Agent Research team in Paris, working at the forefront of a rapidly evolving field to explore, build, and evaluate next-generation AI agent systems.

In a rapidly evolving field, the role combines research, experimentation and hands-on software engineering, with a strong focus on building prototypes, testing ideas and developing solutions that can ultimately create value for customers.

Position

As a Research Engineer – AI Agents & LLM Systems (F/M), you will contribute to the development and experimentation of AI-agent systems capable of reasoning, planning, interacting with tools and completing complex tasks.

Your work will involve approaches such as tool use, planning, memory, retrieval, code execution, computer use and multi-step workflows.

The role is primarily hands-on, with approximately 70–80% focused on engineering and building and 20–30% on research and exploration. You will take ownership of technical problems, work with limited supervision, rapidly develop prototypes, evaluate their performance and iterate based on the results.

The problems to be addressed are generally defined according to business needs and the evolving AI landscape, while you will have significant autonomy regarding the technical approach used to solve them.

Key Responsibilities

  • AI Agent Development: Design and implement AI-agent systems based on large language models and multimodal foundation models.
  • Rapid Prototyping: Build and test prototypes from initial ideas, exploring different technical approaches and iterating rapidly.
  • Research & Experimentation: Follow recent research, reproduce relevant approaches, critically assess them and adapt ideas to develop new solutions.
  • System Evaluation: Evaluate the systems developed, measure their effectiveness, analyse failures and use the results to improve them.
  • Software Engineering: Develop clean and reusable research infrastructure, APIs and internal demonstrations.
  • End-to-End Ownership: Take ownership of technical subjects from understanding the problem through implementation, experimentation, evaluation and development towards a working solution.
  • Customer Feedback: Where relevant, interact with customers, gather feedback and use it to improve the solutions developed.
  • Collaboration: Work closely with researchers and engineers within the team while independently owning substantial technical work.

Profile

You hold a Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning or a related field. You have strong programming and software-engineering skills, particularly in Python, and are comfortable with system design and clean coding. The team currently uses Python and TypeScript.

You have experience building and delivering non-trivial technical, AI or machine-learning systems, with a practical understanding of large language models and modern generative AI systems.

You are comfortable with PyTorch, designing experiments, analysing results and iterating on technical solutions.

Most importantly, you have demonstrated the ability to take ownership of a technical problem and deliver a concrete result, ideally having built something from 0 to 1.

You are curious, autonomous and comfortable with uncertainty, with the ability to move quickly from an idea to implementation and experimentation.

The team is particularly interested in candidates who demonstrate ownership, initiative, curiosity, ambition, independent thinking, collaboration and the ability to execute.

Preferred Qualifications

· Experience building AI agents, LLM systems, coding agents, tool-using systems or other multi-step AI systems

· Experience with LLM evaluation, trajectory analysis, reinforcement learning or synthetic-data generation

· Experience serving or optimising open-source language models

· Experience taking a research or technical project from prototype towards a solution used by customers or users

· Contributions to open-source AI projects

· Publications at recognised AI or systems venues

Ready to join the mission?

Apply now by sending your CV, technical background and relevant projects or publications, if applicable, to Adoc Talent Management.

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 adoc-tm'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 adoc-tm'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

    adoc-tm'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.