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Mid-level ML role, popular title, metro Bangalore location, and broad LLM skill requirements increase applicant competition.
Highly specialized LLM, agentic AI, and prompt engineering skills reduce cross-industry transferability.
Explicit 3–5 years requirement plus mandatory LLM, framework, and cloud skills makes filtering stringent.
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Design, develop, and optimize domain-adaptive agentic AI systems to automate business processes.
Fine-tune large pre-trained models like Llama and Mistral using PEFT, SFT and perform prompt engineering to enhance model outputs aligned with use cases.
Build and deploy end-to-end AI workflows including data preprocessing, training, deployment and scaling in production environments.
3 to 5 years of hands-on experience in machine learning and AI engineering.
Proven experience working with LLMs including Llama, Mistral, GPT, BERT, T5 or similar.
Proficiency in Python and ML frameworks like TensorFlow or PyTorch.
Experience with cloud platforms (AWS, GCP, Azure) for deployment and scaling.
Has deep expertise in designing, fine-tuning, and deploying generative AI models and agentic workflows using tools like Langgraph, CrewAI, or Autogen.
Possesses strong prompt engineering skills with knowledge of advanced techniques like Chain of Thought and Few Shot.
Experienced in NLP tasks, reinforcement learning, and scaling AI models in production environments.