LLM Software Engineer (AI Integration – Frontend or Backend)

Datavisyn GmbH; Linz; Vor Ort; EUR 65.000 - 75.000; Vollzeit

Benefits dieser Stelle

Brand new headquarters

Flexible working hours

Part-time home office

Attending conferences

Certifications

Mentoring talents

Zusammenfassung

Datavisyn GmbH in Linz, Austria, is seeking an LLM Software Engineer to integrate AI into data-heavy web platforms, frontend or backend. You will work in a flat-hierarchy team with flexible hours, contributing to biomedical data analysis tools used by leading research labs.

We value 3+ years of hands-on experience with LLMs, Python or TypeScript frameworks, and cloud-native ML deployments. Excellent English is required; German is a bonus. Join us to advance AI-driven discovery in biomedicine.

Qualifikationen

• You have 3+ years of professional experience integrating and deploying LLMs in complex applications.
• Experience with AI/LLM frameworks in Python or TypeScript.
• Experience with cloud-native deployment of ML workloads is a plus.
• Excellent English skills; German is optional.

Aufgaben

• Build AI integration of data visualization platforms for biomedical research.
• Collaborate in a flat-hierarchy team with great atmosphere.
• Mentor junior talents and drive end-to-end AI/LLM solutions.
• Focus on integrating AI/LLM rather than training models.

Kenntnisse

LLM integration

AI/LLM frameworks

Python

TypeScript

Prompt engineering

RAG pipelines

Agentic workflows

Security & privacy

Mentoring

English proficiency

Tools

LangChain

Pydantic AI

AG-UI

AWS SageMaker

Kubernetes

Jobbeschreibung

LLM Software Engineer (AI Integration – Frontend or Backend)

To address the increasing demand for our products, we seek highly-skilled LLM software engineers experienced in building data-heavy applications using cutting-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 a flat hierarchy , a great atmosphere , and outstanding employee satisfaction . Our software solutions empower the world’s leading pharmaceutical and biotech companies in their early research, helping them search large and complex amounts of data to find targets for tomorrow’s drugs. Our vision is to make the discovery and development of new drugs and treatments faster, more reliable, and more affordable.

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.

Your BENEFITS

• Working in a company with outstanding employee satisfaction in our brand new headquarters with flexible working hours and part-time home office.
• Pushing the boundaries of biomedical research by building state-of-the-art AI/LLM-integrated data analysis platforms using the latest technologies.
• Cooperation with leading research labs in the field of data visualisation, complemented by growth opportunities like attending conferences, obtaining certifications, mentoring young talents, ...

Your SKILLS

• You have 3+ years of professional experience with integrating and deploying LLMs and AI systems in complex applications. A focus on the biomedical domain is a plus.
• You possess strong experience with relevant AI/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, …)
• You are proficient in developing end-to-end AI/LLM solutions , including prompt engineering, RAG pipelines , and defining agentic workflows for complex data analysis.
• You have applied advanced concepts related to AI/LLM integrations , such as implementing MCP, (sub)agents, and streaming , while managing latency and costs, systematically utilizing evals and ensuring security and privacy.
• Strong problem-solving skills and an independent, reliable approach to teamwork , with the ability to mentor and coach junior talents.
• While we focus on integrating AI/LLM and not training our own , understanding the theoretical foundations of statistics and machine learning is beneficial.
• You show excellent knowledge of English (German optional)

Your FUTURE WORKPLACE and TECH STACK

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