Job Description Summary

We are seeking a highly skilled and innovative GenAI Engineer to join our agile 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 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.
Valuable to have experience in finetuning models.
Positive to have experience in SLM.

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.
Experience developing APIs with FastAPI or Flask.
Experience managing ML pipelines using MLflow or Weights & Biases.
Familiarity with CI/CD practices for ML, including platforms like Azure ML or SageMaker Pipelines.
Knowledge of Azure/GCP/AWS AI platforms like Azure AI Foundry or GCP Vertex.
Ability to ensure robustness, scalability, and compliance of AI models in deployment environments.

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.

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