LLM Software Engineer @ datavisyn GmbH

LLM Software Engineer @ datavisyn GmbH

💾 Job Technologies

• Python
• TypeScript
• Amazon SageMaker
• Vertex AI
• Kubernetes

👥 Your role in the team

• To address the increasing demand for our products, we seek highly-skilledLLM software engineersexperienced in buildingdata-heavy applicationsusingcutting-edge web technologies.
• We are looking for candidates who can work full-time (30 hours or more).
• You will be part of a team defined by aflat hierarchy, a great atmosphere,andoutstanding employee satisfaction.
• Our software solutionsempower the world's leading pharmaceutical and biotech companiesin their early research, helping them search large and complex amounts of data to find targets for tomorrow's drugs.
• Our vision is to make thediscovery and development of new drugsand treatments faster, more reliable, and more affordable.

Your FUTURE WORKPLACE and TECH STACK

You will be building state-of-the-art data visualization platforms with a real impact in biomedical research from our new office building inLinz, Austria.

We rely onstate-of-the-art toolingranging fromPython + FastAPIservices serving data from numerous sources ingested viaAirflowtoTypeScript + Reactapplications with highly scalable data visualizations. Our CI/CD pipelines onGithub Actionsverify, build and test Docker images deployed to our Terraform provisionedKubernetesclusters viaArgoCDwhich are monitored usingOpenTelemetry, LGTM, Sentry,You are a professional translator for a job portal, specialized in HR and tech content. IMPORTANT RULES: - Maintain the original formatting and structure of the source text. - Correctly translate technical terms (e.g., "Frontend", "Backend", "DevOps", "Scrum Master"). - Use industry-standard terminology from HR and tech. - Preserve the tone (formal/informal, Du/Sie) of the original text. - Translate only the text; do not add additional explanations or comments. - Keep the list structure exactly as in the original. - Technical terms with international usage may remain untranslated. - Always ensure correct grammar and a natural linguistic flow. Translate the following text precisely into English:

🌟 Our expectations of you

Qualifications

• You areproficient in developing end-to-end AI/LLM solutions,includingprompt engineeringRAG pipelinesand defining agentic workflows for complex data analysis.
• You have appliedadvanced concepts related to AI/LLM integrationssuch as implementingMCP, (sub)agents, and streaming, whilemanaging latencyand costs, systematically utilizing evals and ensuring security and privacy.
• Strongproblem-solving skillsand an independent, reliable approach to teamwork, with the ability to mentor and coach junior talents.
• Whilewe focus on integrating AI/LLM and not training our own, understanding thetheoretical foundations of statistics and machine learning is beneficial.
• You show excellent knowledge ofEnglishYou are a professional translator for a job portal, specialized in HR and Tech content. IMPORTANT RULES: - Maintain the original formatting and structure of the source text. - Correctly translate technical terms (e.g., "Frontend", "Backend", "DevOps", "Scrum Master"). - Use industry-standard terminology from HR and Tech. - Preserve the tone (formal/informal, Du/Sie) of the original text. - Translate only the text; do not add additional explanations or comments. - Keep the list structure exactly as in the original for bullet points. - Technical terms with international usage may remain untranslated. - Always pay attention to correct grammar and a natural linguistic flow. Translate the following text precisely into English: (German optional).

Qualifications

• You have3+ yearsof professional experience with iIntegrating and deploying LLMs and AI systemsin complex applications. A focus on the biomedical domain is a plus.
• You possessstrong experiencewith relevantAI/LLM frameworks in either Python(i.e., Pydantic AI, LangChain, ...)or TypeScript(i.e., AI SDK, AG-UI, ...).
• Experience with cloud-native deployment of ML workloads is a plus(AWS SageMaker, Vertex AI, K8s, ...).

🎁 What we offer

• Working in acompany with outstanding employee satisfactionin ourbrand new headquarterswithflexible working hoursand part-timehome officeYou are a professional translator for a job portal, specialized in HR and tech content. IMPORTANT RULES: - Maintain the original formatting and structure of the source text. - Correctly translate technical terms (e.g., "Frontend", "Backend", "DevOps", "Scrum Master"). - Use industry-standard terminology from HR and tech. - Preserve the tone (formal/informal, Du/Sie) of the original text. - Translate only the text; do not add additional explanations or comments. - Keep the list structure exactly as in the original. - Technical terms with international usage may remain untranslated. - Always ensure correct grammar and a natural linguistic flow. Translate the following text precisely into English:
• Pushing the boundaries of biomedical research bybuilding state-of-the-art AI/LLM-integrated data analysis platformsusing the latest technologies.
• Cooperation withleading research labsin the field of data visualisation, complemented by growth opportunities likeattending conferences, obtaining certifications, mentoring young talents.
• The compensation range for this position is € 65,000 to € 75,000 per year. In practice, the compensation package will be adjusted to your qualifications and experience.

💡 Topics that you deal with on the job

• Machine Learning
• AI
• Data Economy

📍 Job Locations

• Standort Linz Gewerbepark Urfahr 8/Top 2 4040 Linz Austria

💰 Salary

65.000 to 75.000€ gross per year

🏢 This is your employer

datavisyn GmbH

📍 Linz

Our company, datavisyn, develops interactive visual analytics solutions for complex applications. As a spin-off of the Johannes Kepler University with connections to Harvard Medical School and the University of Utah, we bring cutting-edge visual data science methods and algorithms to industrial application. Our systems are currently being used by large pharmaceutical companies (Bayer & Boehringer Ingelheim) to search through large and complex datasets for points of attack on tomorrow's medications.