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Mid-level GenAI role in metro Hyderabad with moderate employer brand increases applicant competition.
Core ML/GenAI skills are widely transferable across industries with minimal pharma-specific requirements.
Explicit 4+ years requirement plus specific GenAI, LangChain, and ML deployment skills make screening strict.
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Develop and deploy Generative AI solutions using large language models for enterprise applications including text generation, summarization, RAG, and intelligent assistants.
Implement multi-agent AI systems (Agentic AI) to automate workflows and decision-making pipelines.
Design, build, and maintain AI/ML pipelines and models, leveraging Python and frameworks like LangChain, LangGraph, and Pydantic AI, with CI/CD using GitHub.
Bachelor’s Degree in Computer Science, Mathematics, or related field.
4+ years of progressive experience in an IT technical role.
Experience with ML frameworks and libraries such as Scikit-learn, NumPy, Pandas, PyTorch, TensorFlow/Keras.
Experience working with Generative AI frameworks like LangChain, LangGraph, Pydantic AI and familiarity with LLM platforms such as Azure OpenAI, AWS Bedrock, Google Vertex AI.
Experienced in end-to-end AI/ML solution development including model building, pipeline creation, and deployment.
Familiar with agentic AI architectures and multi-agent frameworks to automate complex workflows.
Comfortable working in Agile/Scrum teams with modern AI tooling and cloud-based ML infrastructures.