Description

You will design, develop, and deploy Generative AI solutions.

Responsibilities

• Design, develop, and deploy Generative AI solutions using state-of-the-art models.
• Fine-tune large language models (LLMs) for specific use cases and optimize them for performance.
• Implement and integrate LangChain and LlamaIndex for building scalable AI/ML applications.
• Develop and implement Retrieval-Augmented Generation (RAG) pipelines for efficient knowledge retrieval.
• Implement best practices for MLOps, ensuring scalability, versioning, and efficient deployment of AI/ML models.

Required Skills

• 5+ years of experience in AI/ML engineering.
• Strong programming skills in Python with hands-on experience in AI/ML libraries.
• Proven expertise working with LLMs (GPT-4, Llama, Claude, Gemini, Pi).
• Proficiency in LangChain, LlamaIndex, and Retrieval-Augmented Generation (RAG).
• Experience fine-tuning pre-trained language models for specific tasks.
• Advanced knowledge of prompt engineering for optimal LLM performance.
• Familiarity with OpenAI or Anthropic APIs.
• Strong understanding of NLP concepts, embeddings, vector databases, and transformers.

Preferred Skills

• Experience with Hugging Face or OpenAI API.
• Familiarity with cloud platforms including AWS, GCP, or Azure.

Key Skills

Education

Any Graduate