Novasign

Novasign is an innovative company specializing in bioprocess development and automated process control for diverse industries including pharma, enzyme manufacturing, and cultured food. They leverage…

AutomationBioprocessData ScienceDigital TwinMachine LearningModelingPharmaSoftwarenovasign.at

Novasign

AutomationBioprocessData ScienceDigital TwinMachine LearningModelingPharmaSoftwarenovasign.at

HQVienna, AT

Team Size19

Open Jobs2

Total Funding-

Latest Fundraise11 months ago

Join the Team

Senior AI/ML Software Engineer (LLMs & Agentic Systems)

On-SiteVienna, Vienna, AT

On-Site • Vienna, Vienna, AT

Startup jobs. A lot of them.

Your next opportunity is in here somewhere. Sign up to explore 70,000+ startups and their open roles. No spam. No gamification. Just jobs.

70,000+

Startups

83,000+

Open Roles

4,500+

New This Week

Frontend Developer

Part-timeBelgrade, RS

Part-time • Belgrade, RS

Software Engineer

ContractMunich, DE

Contract • Munich, DE

Software Engineer

Part-timeUtrecht, NL

Part-time • Utrecht, NL

Product Designer

ContractAmsterdam, NL

Contract • Amsterdam, NL

DevOps Engineer

ContractHaifa

Contract • Haifa

Backend Developer

Full-timeHaifa

Full-time • Haifa

At Novasign, we're redefining the future of bioprocessing. Our platform, Novasign Studio, combines intelligent hybrid models, automation, and modern microservices (SOA) architecture to accelerate the development of life-saving therapies, next-generation enzymes, and sustainable food technologies.

We're scaling fast with a growing customer base across biotech and life sciences. If you're looking to make a real-world impact with cutting-edge machine learning and SaaS technology, we want to hear from you. We're hiring ten new team members in the next four months, and this role is critical in driving our growth.

Role Summary

We are seeking a senior AI/ML software engineer with deep expertise in general neural networks, transformers, LLMs, agentic systems, and advanced machine learning (including DNNs, RNNs, and modern architectures) to build context-aware AI assistants, knowledge extraction systems, and conversational interfaces for Novasign Studio. You will design and implement LLM-powered and agentic features that help bioprocess engineers interact naturally with our platform, extract insights from documentation, and accelerate their workflow through intelligent automation. This role focuses on productizing AI capabilities rather than fundamental research, requiring strong software engineering skills alongside deep AI/ML expertise.

Responsibilities

Design & implement context-aware AI assistants, agentic conversational interfaces & chatbots aligned with bioprocessing workflows in Novasign Studio

Requirements

Benefits

Innovation Culture: We are an international team. We value new ideas, open discussions, and constructive criticism. Your voice shapes our technological direction
Professional Growth: Continuous learning opportunities and career development in cutting-edge software
Meaningful Impact: Work on software that accelerates life-saving therapies, enzyme manufacturing and sustainable food production
Competitive Package: We offer an attractive salary above industry standards, complemented by comprehensive benefits, including a free food allowance. In accordance with the IT collective agreement (minimum ST1 - Regelstufe), the minimum gross annual salary is €53,802; however, your actual compensation will reflect your skills, experience, and impact and will be significantly higher
Full time (38,5 h/week) - 25 days of paid holidays per full calendar year

Develop knowledge extraction & document understanding systems for technical and user-generated content

Engineer multi-provider LLM infrastructure (OpenAI, Anthropic, local models) with abstraction layers

Build compliant data collection & curation pipelines (consent-aware) enabling domain-specific fine-tuning

Create evaluation frameworks covering performance, safety, and domain accuracy; integrate continuous benchmarking

Implement LLM MLOps: serving, monitoring, automated performance & drift tracking

Build and maintain RESTful & gRPC APIs for AI service integration

Apply software engineering & design principles (Modular Design, OOP, SOLID, DRY, KISS, Composition, Inheritance)

Collaborate with UX/UI, ML, and platform teams to integrate features & solve domain challenges

Ensure data privacy, security, and user consent adherence across AI systems

Monitor & assess emerging LLM/agent capabilities for workflow applicability

Master's degree (or higher) in Computer Science, Machine Learning, AI, or closely related field

5+ years software engineering (incl. 3+ years focused on LLMs / NLP / conversational AI)

Expert Python (core constructs, packaging: UV, Poetry, pip)

Modern LLM & ML architectures: Transformers (GPT, Claude, etc.), DNNs, RNNs; fine-tuning techniques

LLM APIs & provider-based architectures (OpenAI, Anthropic, Hugging Face)

Hugging Face ecosystem (Transformers, Datasets, Tokenizers), LangChain (agent orchestration & conversation management)

Production AI systems: model serving, monitoring, performance optimization

Hyperparameter optimization (Ray Tune, Optuna or similar)

GPU optimization & distributed computing for training/inference

FastAPI & gRPC service development; Docker / Kubernetes deployment; CI/CD workflows

Vector databases & RAG architectures (Pinecone, Weaviate, Chroma)

Experiment tracking & model lifecycle (MLflow or similar)

AI safety, alignment & responsible AI practices

Design patterns & principles (DDD, SOLID, DRY, KISS, Composition, Inheritance)

Auth & security: OAuth2 / OIDC, JWT, RBAC integration

Docker & Docker Compose; Ubuntu (WSL2) development environment

Git workflows, CI/CD fundamentals, Agile/Scrum collaboration

Excellent written & verbal English communication

Nice to have React & TypeScript experience for AI feature integration

Nice to have EU AI Act compliance awareness & knowledge

Nice to have experience with Kubernetes model serving tools (e.g. Triton Inference Server, KServe or Seldon Core)