Gen AI Engineer

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About the Role

Key Responsibilities

• Develop and deploy LLM-based solutions using GPT, LLaMA, or fine-tuned models
• Manage end-to-end GenAI projects from proof of concept to production
• Build scalable data pipelines for LLM training and inference
• Optimize model performance using prompt engineering, fine-tuning, DeepSpeed, and other techniques
• Host and manage models on Databricks and integrate them with data platforms
• Collaborate with data scientists, MLOps, and product teams to ensure AI solutions meet business goals
• Continuously enhance the performance, scalability, and usability of LLM-based systems

Required Skills

• 3–5 years of engineering experience, with 1–2 years in Generative AI or LLMs
• Strong Python skills and experience with AI/ML frameworks
• Hands-on experience with OpenAI APIs, LLaMA models, LangChain, DeepSpeed
• Experience working with Databricks (Unity Catalog, MLflow) and AWS services (S3, EC2, Lambda)
• Good understanding of LLM architecture and model optimization techniques
• Proven track record in deploying real-world GenAI applications