Rhesis AI GmbH

Technology, Information and Internet

1-10

Founder

Germany

**Join us at Rhesis AI – Open-source test generation and management for Gen AI applications that deliver value, not surprises!**  

At Rhesis AI, we empower organizations to develop and deploy Gen AI applications that meet high standards for reliability, robustness, and compliance. As the creators of an open-source solution for test generation & management, we enable AI teams to build context-specific tests, and collaborate directly with domain experts.

We're currently part of the **K.I.E.Z. Accelerator at the Merantix AI Campus in Berlin**, where we’re building the testing infrastructure Gen AI needs to earn trust at scale.

If you’re passionate about advancing trustworthy AI through practical tools and collaborative infrastructure, we invite you to join our mission.

## Tasks

**What you will do:**

*   Oversee and/or execute the design, **development, fine-tuning, and deployment of large language models** and generative AI systems for the Rhesis AI platform.
*   Implement **LLMOps best practices** to streamline the lifecycle from data ingestion to model deployment and continuous improvement.
*   Stay updated on the **latest advancements in AI, ML, and NLP** to inform strategic decision-making and product innovation.
*   Develop **LLM-enabled data pipelines** using tools job orchestration tools to integrate large-scale language models into data workflows.
*   While your role will be primarily focused on artificial intelligence and machine learning, you will **contribute to data engineering, MLOps, and general software engineering** tasks as needed by the team.

## Requirements

You are great for this role, if you have:

**Important Skills**

*   Hands-on experience with Large Language Models and Generative AI.
*   Strong background in Python programming, ML frameworks (JAX, PyTorch, TensorFlow, HuggingFace Transformers, Scikit-Learn), and MLOps expertise.
*   Knowledge of ML fundamentals and software engineering best practices, such as testing.
*   Experience in the development of robust, production-ready code.
*   Experience in Natural Language Processing.

**Awesome Skills**

*   Experience with research, development and/or replication of state-of-the-art ML models / papers.
*   Building and fine-tuning deep learning models for deployment and inference.
*   Knowledge of cloud-native solutions (GCP, Azure, AWS).

**Overall skills**

*   Solid software engineering skills with the ability to design sophisticated software systems, curate datasets, and train models for scientific applications.
*   Proficiency in Python programming and developing production-ready code for data-driven applications.
*   Expertise in system design and problem-solving, including the ability to decompose complex problems into simpler solutions.

In summary, the candidate should have a strong background in both machine learning and software engineering, with specific expertise in developing and deploying advanced machine learning models, along with a solid understanding of modern development practices and tools.

## Benefits

We’re excited to offer a **fixed one-year contract** (with very likely extension), **starting 15 June or 1 July**, along with a range of benefits to support our team members, including:

1.  **Work at the forefront of Gen AI:** Collaborate with some of the most innovative companies building LLM applications. Contribute to the trustworthiness of AI by shaping open-source tools that define how Gen AI is tested and validated.
2.  **Flexible work arrangements:** We understand the importance of work-life balance and offer flexible working options to accommodate personal needs and preferences. We have offices in Berlin and Potsdam (Griebnitzsee).
3.  **Compensation:** We offer salaries and benefits tailored to your experience and qualifications, along with the opportunity to gain ownership in the company.
4.  **A supportive and collaborative work environment:** We foster a culture of teamwork, collaboration, and mutual respect, where every team member is valued and supported in their professional and personal growth.

At Rhesis AI, we value diversity and inclusion, believing that diverse perspectives enrich our team and drive innovation. We encourage applications from individuals of all backgrounds, regardless of gender, nationality, religion, or other personal characteristics. Even if you don’t meet every requirement listed, we encourage you to apply—your unique skills and experiences could be exactly what we need to succeed.

**Ready to Join Us?**

If you’re passionate about full stack development, excited by the prospect of working with cutting-edge AI technology, and committed to making AI responsible, we’d love to hear from you!

Apply now and help us build solutions that shape the future of AI!

Employee

Join us at Rhesis AI – Open-source test generation and management for Gen AI applications that deliver value, not surprises! 
At Rhesis AI, we empower organizations to develop and deploy Gen AI applications that meet high standards for reliability, robustness, and compliance. As the creators of an open-source solution for test generation &amp; management, we enable AI teams to build context-specific tests, and collaborate directly with domain experts.
We&#39;re currently part of the K.I.E.Z. Accelerator at the Merantix AI Campus in Berlin, where we’re building the testing infrastructure Gen AI needs to earn trust at scale.
If you’re passionate about advancing trustworthy AI through practical tools and collaborative infrastructure, we invite you to join our mission.
<h2 id="tasks">Tasks</h2>
What you will do:
<ul>
<li>Oversee and/or execute the design, development, fine-tuning, and deployment of large language models and generative AI systems for the Rhesis AI platform.</li>
<li>Implement LLMOps best practices to streamline the lifecycle from data ingestion to model deployment and continuous improvement.</li>
<li>Stay updated on the latest advancements in AI, ML, and NLP to inform strategic decision-making and product innovation.</li>
<li>Develop LLM-enabled data pipelines using tools job orchestration tools to integrate large-scale language models into data workflows.</li>
<li>While your role will be primarily focused on artificial intelligence and machine learning, you will contribute to data engineering, MLOps, and general software engineering tasks as needed by the team.</li>
</ul>
<h2 id="requirements">Requirements</h2>
You are great for this role, if you have:
Important Skills
<ul>
<li>Hands-on experience with Large Language Models and Generative AI.</li>
<li>Strong background in Python programming, ML frameworks (JAX, PyTorch, TensorFlow, HuggingFace Transformers, Scikit-Learn), and MLOps expertise.</li>
<li>Knowledge of ML fundamentals and software engineering best practices, such as testing.</li>
<li>Experience in the development of robust, production-ready code.</li>
<li>Experience in Natural Language Processing.</li>
</ul>
Awesome Skills
<ul>
<li>Experience with research, development and/or replication of state-of-the-art ML models / papers.</li>
<li>Building and fine-tuning deep learning models for deployment and inference.</li>
<li>Knowledge of cloud-native solutions (GCP, Azure, AWS).</li>
</ul>
Overall skills
<ul>
<li>Solid software engineering skills with the ability to design sophisticated software systems, curate datasets, and train models for scientific applications.</li>
<li>Proficiency in Python programming and developing production-ready code for data-driven applications.</li>
<li>Expertise in system design and problem-solving, including the ability to decompose complex problems into simpler solutions.</li>
</ul>
In summary, the candidate should have a strong background in both machine learning and software engineering, with specific expertise in developing and deploying advanced machine learning models, along with a solid understanding of modern development practices and tools.
<h2 id="benefits">Benefits</h2>
We’re excited to offer a fixed one-year contract (with very likely extension), starting 15 June or 1 July, along with a range of benefits to support our team members, including:
<ol>
<li>Work at the forefront of Gen AI: Collaborate with some of the most innovative companies building LLM applications. Contribute to the trustworthiness of AI by shaping open-source tools that define how Gen AI is tested and validated.</li>
<li>Flexible work arrangements: We understand the importance of work-life balance and offer flexible working options to accommodate personal needs and preferences. We have offices in Berlin and Potsdam (Griebnitzsee).</li>
<li>Compensation: We offer salaries and benefits tailored to your experience and qualifications, along with the opportunity to gain ownership in the company.</li>
<li>A supportive and collaborative work environment: We foster a culture of teamwork, collaboration, and mutual respect, where every team member is valued and supported in their professional and personal growth.</li>
</ol>
At Rhesis AI, we value diversity and inclusion, believing that diverse perspectives enrich our team and drive innovation. We encourage applications from individuals of all backgrounds, regardless of gender, nationality, religion, or other personal characteristics. Even if you don’t meet every requirement listed, we encourage you to apply—your unique skills and experiences could be exactly what we need to succeed.
Ready to Join Us?
If you’re passionate about full stack development, excited by the prospect of working with cutting-edge AI technology, and committed to making AI responsible, we’d love to hear from you!
Apply now and help us build solutions that shape the future of AI!

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