
Engineer - Gen AI
3 days ago
We are seeking an experienced Generative AI professional with expertise in designing and deploying Large Language Models (LLMs) from scratch as well as fine-tuning and optimizing existing models. The role requires deep technical skills, creativity, and hands-on experience in building scalable GenAI solutions across text, image, and multimodal domains.
Key Responsibilities:
- Design and build LLMs from scratch, including data pipeline creation, tokenization strategies, and training at scale.
- Fine-tune and optimize pre-trained models for specific enterprise use cases.
- Research, experiment with, and implement cutting-edge architectures in generative AI (transformers, diffusion, multimodal).
- Develop prompt engineering, RAG (Retrieval Augmented Generation), and knowledge integration pipelines.
- Collaborate with cross-functional teams to translate business problems into GenAI-powered solutions.
- Deploy and monitor models in production with focus on scalability, security, and performance.
- Ensure compliance with ethical AI practices, governance, and responsible AI usage.
- Document design, experiments, and best practices to contribute to organizational AI knowledge base.
Required Skills & Qualifications:
- Proven experience in LLM design and training from scratch, including data preparation, distributed training, and evaluation.
- Strong background in deep learning, NLP, and transformer architectures.
- Strong development experience in Python development and ML frameworks.
- Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Milvus) and RAG pipelines.
- Solid understanding of MLOps practices, containerization (Docker, Kubernetes).
- Must have Good Experience in AWS Cloud and its Services.
- Ability to optimize model inference, reduce latency, and manage large-scale deployments.
- Strong problem-solving, analytical, and communication skills.
Preferred Qualifications:
- Research or published work in LLMs or generative AI.
- Contributions to open-source AI frameworks or libraries.
- Exposure to multimodal AI (vision-language models, audio, video).
- Familiarity with AI regulation, compliance, and governance standards.
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