Job Summary

We are seeking a highly skilled and innovative GenAI Engineer to join our energetic team. The ideal candidate will be responsible for designing, developing, and deploying scalable Generative AI solutions using state-of-the-art large language models (LLMs) and transformer architectures. This includes building intelligent applications, orchestrating model workflows, and integrating GenAI capabilities into enterprise systems.

Responsibilities

- Design, build, and deploy generative AI solutions using LLMs such as OpenAI, Anthropic, Mistral, or open-source models (e.g., LLaMA, Falcon).
- Fine-tune and customize foundation models using domain-specific datasets and techniques
- Develop and optimize prompt engineering strategies to drive accurate and context-aware model responses.
- Implement model pipelines using Python and ML frameworks such as PyTorch, Hugging Face Transformers, or LangChain.
- Agentic AI implementation expertise using C rew.ai or Lang chain
- Collaborate with data engineers and MLOps teams to productionize GenAI models on cloud platforms (Azure/AWS/GCP).
- Knowledge on Azure/GCP/AWS AI platform like Azure AI Foundry or GCP Vertex
- Ensure robustness, scalability,



and compliance of AI models in deployment environments.
- Good to have experience in finetuning models
- Good to have experience in SLM
- Integrate GenAI into enterprise applications via APIs or custom interfaces.
- Evaluate model performance using quantitative and qualitative metrics, and improve outputs through iterative experimentation.

Requirements

- Deep expertise in Python, PyTorch, and Hugging Face Transformers, with hands-on experience deploying solutions on Azure, AWS, or GCP
- Proficiency in using orchestration frameworks like LangChain
- Developing APIs with FastAPI or Flask
- Managing ML pipelines using MLflow or Weights & Biases
- Familiarity with CI/CD practices for ML, including platforms like Azure ML or SageMaker Pipelines
- Knowledge on Azure/GCP/AWS AI platforms like Azure AI Foundry or GCP Vertex

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

📌 IN_Sr Associate__Generative AI Engineer_Advisory_Bangalore (Bengaluru)
🏢 PwC Service Delivery Center
📍 Bengaluru