Principal Software Engineer Gen AI

8 - 10 years

0 Lacs

Posted:1 day ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About the Position

We&aposre seeking a talented Generative AI Developer to join our Engineering team. In this role, you&aposll design, develop, and implement generative AI solutions to solve complex business problems. You&aposll collaborate with cross-functional teams to transform cutting-edge AI technologies into practical, scalable applications.

Candidate Requirements & Qualifications

  • Design and develop generative AI applications using large language models (LLMs), diffusion models, and other generative AI technologies
  • Collaborate with data scientists, engineers, and business stakeholders to identify use cases and implement AI solutions
  • Fine-tune and optimize models for specific client requirements and use cases
  • Implement robust evaluation frameworks to assess model performance and mitigate potential risks
  • Create prototypes and proof-of-concepts to demonstrate capabilities and gather feedback
  • Develop and maintain technical documentation for AI systems
  • Stay current with the latest advancements in generative AI technologies and methodologies
  • Bachelor&aposs degree in Computer Science, AI, Machine Learning, or a related technical field
  • 8+ years of relevant experience
  • Strong programming skills in Python and familiarity with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face)
  • Experience implementing LLM-based applications and understanding of prompt engineering
  • Knowledge of generative AI concepts, including text generation, image generation, and multimodal systems
  • Experience with API development and integration
  • Strong problem-solving skills and ability to debug complex systems

Desired but not required (not needed for every position)

  • Master&aposs or PhD in AI, ML, or related field
  • Experience with model fine-tuning, RLHF, and alignment techniques
  • Knowledge of RAG (Retrieval-Augmented Generation) architectures
  • Experience with vector databases and embedding models
  • Familiarity with cloud platforms (AWS, GCP, Azure) and their AI/ML services

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