IN_Sr Associate__Generative AI Engineer

Job Description & Summary

We are seeking a highly skilled and innovative GenAI Engineer to join our dynamic 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

• 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.
• Knowledge on Azure/GCP/AWS AI platform like Azure AI Foundry or GCP Vertex.

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