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Tier-1 employer, mid-level 4–7yrs, Bangalore location, and broad GenAI skillset increase applicant competition.
Highly domain-specific GenAI and LLM expertise required, limiting transferability across non-ML roles.
Multiple mandatory GenAI, ML frameworks, cloud and 4–7 years experience required.
Design, build, and deploy scalable Generative AI solutions using large language models (LLMs) and transformer architectures.
Customize and fine-tune foundation AI models using domain-specific datasets; develop and optimize prompt engineering strategies.
Collaborate with data engineers and MLOps teams to productionize GenAI models on Azure, AWS, or GCP with robust, scalable, and compliant deployments.
4 to 7 years of professional experience in Generative AI engineering or related fields.
Proficiency in Python, PyTorch, Hugging Face Transformers, and cloud platforms (Azure, AWS, or GCP).
Experience with orchestration frameworks such as LangChain or similar, and API development using FastAPI or Flask.
Bachelor’s degree in Engineering (B.E/B.Tech) or equivalent technical qualification.
Experienced in end-to-end development and deployment of Generative AI solutions in enterprise cloud environments.
Strong technical skills in AI model customization, pipeline orchestration, and CI/CD practices tailored for machine learning.
Familiarity with advanced AI tools such as LangChain, MLflow, Weights & Biases, and expertise integrating GenAI into APIs and enterprise applications.