Generative AI Consultant

4 days ago

Bengaluru, India AVE Promagne Full time

Key Responsibilities :- Architect and implement LLM-based agent frameworks to support task automation and intelligent Develop and optimize RAG (Retrieval-Augmented Generation) systems using efficient chunking strategies for context-aware responses.- Use LangChain to orchestrate modular GenAI workflows integrated with vector databases (e.g., FAISS, Pinecone, Chroma).- Build and maintain knowledge graphs and incorporate Vision APIs for multimodal intelligence.- Apply advanced prompt engineering and token management to control costs and improve LLM accuracy.- Ensure reliability and robustness through hallucination control methodologies and responsible AI practices.- Design and deploy scalable GenAI applications on cloud platforms (Azure, AWS, or GCP).- Collaborate with cross-functional teams including data scientists, cloud engineers, and domain experts to integrate GenAI into products.- Leverage tools like Docker for containerization and Git for code versioning.- Use SQL and Python to process and manipulate data Skills :- Agent Frameworks (e.g., LangChain Agents)- Retrieval-Augmented Generation (RAG)- Chunking Strategies for document processing- Deep understanding of LLMs (e.g., OpenAI, Anthropic, Meta, Cohere)- Experience with AI services on Azure, AWS, or GCP (at least one)- LangChain framework- Vector Databases (e.g., FAISS, Pinecone, Weaviate)- Token Management strategies- Knowledge Graphs (e.g., Neo4j, RDF-based models)- Vision APIs (e.g., Google Vision, AWS Rekognition, Azure Computer Vision)- Prompt Engineering expertise- Proficiency in Skills :- AI/ML Algorithms and optimization- Deep Learning frameworks (e.g., PyTorch, TensorFlow)- Computer Vision models and techniques- Hallucination Control Techniques- Responsible AI frameworks and compliance Proficiency :- Programming : Python (mandatory)- Cloud : Azure, AWS, or GCP (at least one is mandatory)- Containers : Docker- Database : SQL- Version Control : Git or :- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.- Relevant certifications in AI/ML or Cloud Platforms are a plus.- Strong analytical thinking, problem-solving, and communication skills. (ref:hirist.tech)

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