AI Drug Discovery Fellowship

1 day ago

Hyderabad Telangana India, Telangana 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 practices


Qualifications:

  • 1–2 years of experience in Machine Learning, Deep Learning, or computational drug discovery
  • Bachelor’s/Master’s in CS, AI/ML, Bioinformatics, Comp. Biology, ChemE, or related field
  • Strong Python + experience with PyTorch/TensorFlow model development
  • Exposure to generative models (Diffusion/VAEs/Transformers) - academic or industry
  • Experience designing and deploying AI workflows on multi-cloud or hybrid infrastructure
  • Familiarity with vector databases, RAG pipelines, and autonomous agent-driven workflows
  • Knowledge of multi-agent orchestration, memory management, security, and Responsible AI principles
  • Understanding of security and compliance in multi-cloud environments


Logistics:

  • Duration: 3 to 6 months
  • Type: Onsite
  • Location: Hyderabad

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