Generative AI Consultant

3 weeks ago

Gurugram Gurugram India Strategic HR Solutions Full time

Job Description Role Overview We are seeking passionate and experienced professionals in Generative AI (GenAI) to join our AI & Data Science team. The ideal candidate will have deep hands-on expertise in working with LLMs, RAG pipelines, LangChain, and cloud AI services. You will be responsible for designing, developing, and deploying GenAI solutions for real-world enterprise use cases. Key Responsibilities - Architect and implement LLM-based agent frameworks to support task automation and intelligent decision-making. - 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 effectively. Must-Have 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 Python Good-to-Have 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 methodologies Technical Proficiencies - Programming : Python (mandatory) - Cloud : Azure, AWS, or GCP (at least one is mandatory) - Containers : Docker - Database : SQL - Version Control : Git or similar Qualifications - 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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