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Tier-1 employer, metro location, mid-level popular GenAI role and broad skillset create high applicant competition.
Core GenAI engineering skills are transferable across industries, though tax domain experience is beneficial.
Explicit 3–7 year requirement plus mandatory GenAI, LLM, deep learning, cloud, and deployment skills makes shortlisting strict.
Develop, implement, and optimize generative AI models (e.g., GANs, Transformers) for applications like content creation and document processing.
Collaborate with product managers to translate research into actionable AI-powered products and services.
Deploy and maintain AI models in production, ensuring performance optimization and robustness.
3 to 7 years of experience in generative AI engineering or related fields.
Bachelor's or Master's degree in Technology/Engineering (B.Tech / M.Tech / MCA).
Strong proficiency in Python and experience with deep learning frameworks like TensorFlow, PyTorch, or JAX.
Experience with GenAI concepts such as LLMs, Langchain, RAG framework, and platforms like OpenAI, Bedrock; familiarity with cloud platforms (AWS, GCP, Azure).
Experienced in full lifecycle of generative AI model development, from dataset preparation to deployment and maintenance.
Hands-on with large-scale data processing and multi-modal data (text, images, audio) integration.
Strategic in applying advanced generative AI technologies (LLMs, vector databases) to solve complex business problems within tax technology domain.