GenAI Developer

We are looking for a Low Code GenAI Developer to join our project from biotech industry.

Responsibilites:

• Low-code design of GenAI solutions: Design, finetune and evaluate GenAIs solution on proprietary data to meet business needs.

• Prompt Engineering: Craft, test, and optimize prompts to improve model outputs

• GenAI Integration: Deploy and integrate LLMs into low-code platforms including agentic solutions, RAG, chatbots, designing APIs, latency/throughput optimization, and monitoring.

• Research & Experimentation: Stay up-to-date with state-of-the-art LLM architectures and techniques, and evaluate their application for internal use cases.

  Stakeholder Collaboration: Collaborate with product, data, and engineering teams to translate business problems into LLM-powered solutions and communicate model limitations or trade-offs effectively.

Requirements:

• Minimum 2 years of hands-on data science or software engineering experience

• We have a strong focus on Copilot Studio and Power Platforms for this role.

• Deep understanding of with LLMs, agents and foundation models

• Familiarity with enterprise applications like SAP, SFDC and their AI offerings

• Proficiency in Python and CI/CD practices

• Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines

• Experience with MLOps, cloud infrastructure (AWS/GCP/Azure), and model deployment tools for LLM-based systems.
  English - min B2

What we offer:

• Deep understanding of the domain knowledge in the field of molecular biology and biotechnology

• Exposure and hands on experience in the development of modern cloud data solutions

• Ability to deliver AI and ML solutions at scale

• Opportunity to work in an experienced and engaged team consisting of Data Engineers, Data Scientists, Machine Learning Engineers and stakeholders from different business domains