Genestack Ltd

At Genestack, we are tackling the underlying computational and scientific challenges of bioinformatics in order to provide researchers with software tools that will streamline the discovery process and drive forward precision medicine, drug development and bioinformatics research. Our platform is already deployed at leading pharmaceutical and consumer good companies and this is just a beginning of our journey. Our mission is to enable scientists to find, analyse and interpret all biological data, tools and knowledge in one place. Our team of biologists, bioinformaticians and computer scientists works towards making Genestack the most versatile and simplest foundation for bioinformatics projects at any scale. Daily life at Genestack involves solving complex problems in a fast-paced environment and collaborating with a brilliant, diverse team across our two offices.

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🔥 AI Developer
Posted about 1 month ago

📍 Belgrade, RS

🧭 Full-Time

🔍 Bioinformatics

  • 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.
  • 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.

AWSPythonArtificial IntelligenceCloud ComputingData AnalysisJavaMachine LearningPyTorchAlgorithmsAPI testingData StructuresTensorflowRESTful APIsSoftware EngineeringEnglish communication

Posted about 1 month ago
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