Agentic AI for Science - Developer (m/f/d) | JobSetuu

Description

Job Overview

• Source: Arbeitnow
• Location: Karlsruhe
• Job Type: Full-Time

Job Description

Hey there! We're datin GmbH, and we are building the "new power grid" for scientific innovation.

Traditional scientific knowledge is still largely hidden from LLMs because physical R&D data (like lab experiments, simulations, and equipment logs) is rarely recorded in a structured, machine-actionable way. Text alone isn’t rich enough to support automated discovery.

To bridge this gap, we have built an ontology-driven, schema-based knowledge graph management system. Now, we are taking it to the next level: building autonomous, goal-oriented AI agents that can interact directly with our graph databases, augment them with new data, and identify emerging patterns in physical science.

This role offers a unique opportunity to design production-grade AI agent systems from scratch, collaborating closely with experienced material scientists, tribologists, and software engineers. At datin, we value curiosity, impact, and trust, and we design our agent-driven workflows to empower scientists, not replace them.

Tasks

• Agentic Workflows: Design and build end-to-end agentic architectures. You will build tool-calling loops, memory layers, and execution environments that allow agents to query, update, and validate our graph databases.
• AI Infrastructure: Engineer, deploy, and maintain performant agent and LLM serving infrastructures both locally and in the cloud.
• Graph-Grounded LLMs: Fine-tune or optimize open-source LLMs to reliably translate natural language scientific requests into structured queries sent to our SDK and accurately traverse complex ontologies.
• Machine Learning for Science: Train and integrate specialized ML models to solve multi-objective optimization problems (e.g., predicting material properties or chemical reactions) that AI agents can use as tools.
• Semantic Digital Twins: Translate real-world physical workflows into semantically-typed knowledge graphs.

Requirements

• Technical Core: Deep practical experience with Agentic frameworks, orchestrators, or tool-use libraries.
• Software Engineering: Strong proficiency in Python and/or JavaScript, with a focus on writing clean, modular, and well-tested production code.
• Modeling Skills: Hands-on experience building, training, or fine-tuning models using machine learning frameworks like PyTorch or similar.
• Validation: Familiarity with SHACL, RDF, RDFS, OWL, and SPARQL or similar (like CYPHER) validation languages is a strong plus.
• Background: A degree in Computer Science, Information Science, or, Chemistry, Materials Science, Mechanical Engineering, or a related field.
• Mindset: You are meticulous and logical. You enjoy solving the puzzle of how to structure the world into a database.

Benefits

• Flexible working hours
• Free beverages
• Public transportation benefits
• Remote work possible
• Travel expenses compensation

This is the future of scientific AI. At datin GmbH, you won't just be writing code; you will be defining the grammar of scientific discovery. If you are ready to build the engine that powers the next generation of R&D,

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Expert Career Tips for Agentic AI for Science - Developer (m/f/d) Roles

To succeed in a competitive market as a Agentic AI for Science - Developer (m/f/d), you need more than just technical skills. Here are some expert strategies to elevate your profile:

• Build a Strong Portfolio: For technical roles, a clean GitHub or a personal project site is essential. For non-technical roles, a case study portfolio demonstrating problem-solving and impact is equally valuable. Show, don't just tell, what you have achieved in your previous positions.
• Master the Narrative: When interviewing, use the STAR method (Situation, Task, Action, Result) to structure your answers. Quantify your results wherever possible—mentioning "increased efficiency by 20%" is much more impactful than saying "improved efficiency."
• Continuous Learning: The industry moves fast. Whether it's staying updated with the latest AI tools or mastering a new management methodology, continuous professional development is key. Consider obtaining industry-recognized certifications that align with Agentic AI for Science - Developer (m/f/d) requirements.
• Networking: Connect with other professionals in similar roles. Join online communities, attend webinars, and engage in meaningful discussions on professional social networks. Often, the best opportunities come through referrals and community engagement.
• Soft Skills Matter: Communication, empathy, and leadership are often the deciding factors between two equally qualified technical candidates. Cultivate these skills as they are universally valued across all industries and seniority levels.

Additionally, research the specific company's culture and values. Tailoring your application to show how you align with their mission can significantly increase your chances of moving forward in the process.

Salary & Compensation

Salary not disclosed; typically competitive for the role.

Work Arrangement

Type: On-Site

Standard business hours at the office.

Comprehensive Application Strategy & Hiring Process

Applying for a new role is a marathon, not a sprint. Follow this strategic approach to maximize your success rate:

1. Initial Research & Tailoring

Don't send the same resume to every employer. Spend at least 30 minutes researching the company. Look for recent news, their product roadmap, and their team structure. Modify your summary and core competencies to reflect the specific keywords found in the job description.

2. The Perfect Cover Letter

If the application allows for a cover letter, use it to tell a story that your resume cannot. Explain why you are passionate about this specific company and how your unique background makes you the perfect fit for the challenges they are currently facing.

3. Navigating the Multi-Stage Interview

Most modern hiring processes involve 3-5 stages. This typically includes a recruiter screen, a technical or skill-based assessment, a peer interview, and a final leadership round. Prepare for each stage differently: focus on enthusiasm and fit for the recruiter, technical depth for the assessment, and strategic vision for the leadership round.

4. Post-Interview Follow-Up

Always send a personalized thank-you note within 24 hours of each interview. Reference a specific topic discussed during the call to demonstrate your active listening and genuine interest in the role.

By following these steps, you demonstrate a high level of professionalism and attention to detail that sets you apart from the average applicant.

Typical Interview Process

1. Resume screening
2. HR call
3. Skill interview
4. Final manager interview
5. Offer

Tip: Research the company's products and culture.

Global Market Intelligence & Relocation Insights

At JobSetuu, we specialize in helping talent navigate the global job market. Here is what you need to know about the current landscape in Karlsruhe and beyond:

The demand for skilled professionals is increasingly borderless. For roles based in Karlsruhe, understanding the local cost of living, visa requirements (if applicable), and cultural nuances is vital. If this is a remote role, consider the time zone alignment and the asynchronous communication culture of the hiring organization.

Relocation Support: Many forward-thinking companies offer relocation packages that include moving stipends, temporary housing, and legal assistance with work permits. When evaluating an offer, look beyond the base salary—consider the total compensation package, including equity, bonuses, and healthcare benefits.

Work-Life Balance Trends: Hybrid and remote work have become standard in many regions. Research the local labor laws and common practices regarding work hours and vacation time to ensure the role aligns with your lifestyle goals.

Leveraging JobSetuu's tools can help you compare salaries across different cities and understand the "purchasing power" of your potential offer, ensuring you make an informed decision for your long-term career path.

Skills & Competency Roadmap for Professional Development

To remain competitive in Professional Development, we recommend focusing on the following core competencies over the next 12-18 months:

• Technical Mastery: Deepen your expertise in the core tools and languages relevant to your field. For developers, this might be cloud architecture; for marketers, it might be data-driven attribution modeling.
• AI Augmentation: Learn how to leverage generative AI and automation tools to increase your productivity. Understanding how to integrate these technologies into your workflow is becoming a non-negotiable skill.
• Leadership & Strategy: Even in individual contributor roles, the ability to think strategically and lead projects from inception to completion is highly valued. Focus on stakeholder management and high-level project planning.
• Data Literacy: The ability to interpret data and use it to drive decisions is essential across all business functions. Familiarize yourself with data visualization and basic analytical concepts.

By investing in these areas, you not only prepare yourself for the role you are applying for today but also build a resilient foundation for the opportunities of tomorrow.

Apply via JobSetuu

Discover your next career milestone on JobSetuu. This Agentic AI for Science - Developer (m/f/d) position is part of our commitment to bringing you the most relevant and high-impact job openings globally. At JobSetuu, we simplify your job search by aggregating premier listings and providing the tools you need to stand out. Don't miss the chance to elevate your professional journey—explore more opportunities and career insights on our platform today.