AI-Driven Drug Discovery Innovator

2 days ago


Hyderabad, India Centella AI Therapeutics Full time

Centella AI Therapeutics is an AI-native drug discovery company founded by practicing scientists with 30+ years of combined experience. Our platform, Centella CASCADE™, is an end-to-end, disease-agnostic engine that blends generative models, medicinal chemistry to design high-quality, drug-like molecules rapidly and intelligently. We are seeking curious and technically strong fellows who are passionate about building AI that engineers molecules, not just models Key Responsibilities:Architect and build end-to-end Agentic AI systems across cloud and on-prem. - Integrate LLMs, cognitive services, and ML frameworks like Semantic Kernel, LangChain, and AutoGen. Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and knowledge stores.Enable agents to interpret and act on chemical and biomedical datasets. Deploy scalable agents via Kubernetes, serverless, or containerized services. Optimize LLMs through prompt engineering, fine-tuning, and caching. Monitor system performance using observability and logging tools. Iterate agent workflows based on testing, analytics, and scientific insights.Collaborate with AI/ML teams and scientists to align with research goals. Iterate workflows and maintain documentation following Responsible AI practicesQualifications:1–2 years of experience in Machine Learning, Deep Learning, or computational drug discoveryBachelor’s/Master’s in CS, AI/ML, Bioinformatics, Comp. Biology, ChemE, or related field Strong Python + experience with PyTorch/TensorFlow model developmentExposure to generative models (Diffusion/VAEs/Transformers) - academic or industry Experience designing and deploying AI workflows on multi-cloud or hybrid infrastructureFamiliarity with vector databases, RAG pipelines, and autonomous agent-driven workflowsKnowledge of multi-agent orchestration, memory management, security, and Responsible AI principlesUnderstanding of security and compliance in multi-cloud environmentsLogistics:Duration: 3 to 6 monthsType: OnsiteLocation: Hyderabad



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