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.

In emerging technology, you will focus on exploring and implementing cutting-edge technologies to drive innovation and transformation for clients. You will work in areas such as artificial intelligence, blockchain, and the internet of things (IoT).

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 Crew.ai or LangChain.
- 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.
- Keep up to date with the latest research in GenAI, foundation models, and relevant open-source tools.

Requirements

- Deep expertise in Python, PyTorch, and Hugging Face Transformers, along with hands-on experience in deploying solutions on Azure, AWS, or GCP.
- Proficient in using orchestration frameworks like LangChain, developing APIs with FastAPI or Flask, and managing ML pipelines using tools such as MLflow or Weights & Biases.
- Familiarity with CI/CD practices for ML, including platforms like Azure ML or SageMaker Pipelines, is essential.

Mandatory Skill Sets

- Generative AI (LLMs, Transformers)
- Python, PyTorch, Hugging Face Transformers

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Associate_Generative AI Engineer_Emerging business (Bengaluru)
🏢 PwC Service Delivery Center
📍 Bengaluru