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Generative AI Engineer - LLM / RAG

Generative AI Engineer - LLM / RAG

DashhireGurugram
30+ days ago
Job description

Job Description :

As a Gen AI Engineer at StatusNeo, you will be responsible for developing, optimizing, and deploying AI models and solutions with a focus on Generative AI, Prompt Engineering, Retrieval-Augmented Generation (RAG) models, and Large Language Models (LLMs).

You will collaborate closely with cross-functional teams to design and implement scalable AI solutions on various cloud platforms.

Responsibilities :

  • AI Model Development : Design, train, and fine-tune generative AI models, LLMs, and RAG models to address specific business use cases.
  • Prompt Engineering : Develop, test, and optimize prompts to enhance the performance and accuracy of AI models in generating desired outputs.
  • Cloud Expertise : Deploy and manage AI models on cloud platforms (e., AWS, Azure, GCP), ensuring scalability, security, and cost-efficiency.
  • Data Management : Collaborate with data scientists and engineers to ensure high-quality data ingestion, preprocessing, and feature engineering.
  • Model Evaluation and Tuning : Continuously monitor and evaluate model performance, making adjustments to improve accuracy and efficiency.
  • Innovation : Stay up-to-date with the latest advancements in AI, LLMs, and cloud technologies, and incorporate new techniques and tools into the development process.
  • Collaboration : Work closely with product managers, software engineers, and other stakeholders to integrate AI solutions into products and services.
  • Documentation : Maintain comprehensive documentation of models, algorithms, and development processes to ensure transparency and :
  • Bachelor's or Master's degree in Computer Science, AI / ML, Data Science, or a related field.
  • Proven experience in developing and deploying AI models, particularly in Generative AI, LLMs, and RAG models.
  • Hands-on experience with cloud platforms like AWS, Azure, or GCP for AI / ML workloads.
  • Strong background in Prompt Engineering and AI model optimization techniques.

Technical Skills :

  • Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks.
  • Experience with NLP, machine learning algorithms, and data preprocessing.
  • Knowledge of containerization and orchestration tools (e., Docker, Kubernetes) is a plus.
  • Familiarity with MLOps practices and tools for continuous integration and deployment.
  • Soft Skills :

  • Strong problem-solving skills and the ability to work in a fast-paced environment.
  • Excellent communication and teamwork abilities.
  • Eagerness to learn and adapt to new technologies and methodologies
  • (ref : hirist.tech)

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