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Job Summary
Develop enterprise AI solutions using Large Language Models (LLMs), Retrieval Augmented Generation (RAG), AI Agents, and Generative AI frameworks.
Responsibilities
Required Skills
Preferred Skills
Job ID: 149090949
Skills:
Python, multi-agent systems, fine-tuning, tool use orchestration, vector databases, automated reasoning workflows, production AI workflows, prompt engineering, Evaluation, MLOps practices, retrieval, model APIs
Skills:
Cuda, Docker, FastAPI, Azure, Python, AWS, LangChain, Anthropic APIs, vector databases, Pinecone, LLM fine-tuning, FAISS, NVIDIA GPU toolkits
Skills:
Distributed Systems, Python, multimodal systems, vector databases, Pinecone, custom retrieval layers, Swarm, Chroma, transformer architectures, RLHF, LangChain, CrewAI, AI safety, agent frameworks, AutoGen, LLM fine-tuning, LoRA, MLOps tooling, generative AI models, Milvus, OpenAI, Weaviate, QLoRA, LlamaIndex, red-teaming
Skills:
data wrangling , Cloud Infrastructure, Containers, Python, vector search systems, LLMs, model training, RAG-based systems, CI CD, document knowledge bases, NLP tasks, traditional ML models, feature extraction, large language models, LlamaIndex
Skills:
Nlp, Data structures, Deep Learning, Prompt Engineering techniques, Semantic search techniques, Embedding models, Infrastructure setup, AI model inferencing, Parallel Processing, CUDA architecture, Transformer architectures
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