AI Developer

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September 10

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Genestack

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Biotechnology • Artificial Intelligence • SaaS

Genestack is a company that specializes in making scientific data liquid and actionable for life science R&D. Their platform, the Open Data Manager (ODM), accelerates discoveries by cataloguing, curating, and harmonizing complex life science data. Genestack offers seamless integration within IT architectures, allowing for efficient data management and compliance with regulatory frameworks. They provide tools for analytical search and integration, enabling large-scale queries across life science data using well-documented APIs. Genestack also focuses on the use of AI and Large Language Models (LLMs) in life sciences to enhance research and development. The company is known for helping organizations reduce time to market and improve the return on investment from their data assets.

51 - 200 employees

🧬 Biotechnology

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• Design and implement LLM-based features using modern AI tools, including RAG and agentic workflows. • Work across the AI lifecycle — from rapid prototyping to production — validating ideas and ensuring real-world performance. • Research and evaluate new AI tools (proprietary and OSS), recommending those with clear impact. • Collaborate with product, data, and bioinformatics teams to build AI solutions that are useful and scientifically aligned. • Optimize model performance in production: latency, output quality, token usage, robustness. • Contribute to prompt design and evaluation strategies, helping to mitigate risks like hallucinations and overconfidence in real user environments.

🎯 Requirements

• 6+ years of software development with strong CS fundamentals (algorithms, data structures). • Excellent Python skills and working knowledge of Java for integration tasks. • Hands-on experience with LLM APIs (e.g., OpenAI, Anthropic) and orchestration frameworks (e.g., LangChain, LlamaIndex), including in production. • Experience with retrieval pipelines and vector DBs for semantic search in LLM workflows. • Strong grasp of agentic workflows and prompt engineering, including iterative refinement techniques. • Excellent communication skills and team collaboration. • Genuine interest in life sciences and applying AI in bioinformatics. • Fluent English, written and spoken.

🏖️ Benefits

• international team of professionals; fully paid sick leaves; onboarding and domain training for newcomers; flexible work schedule.