AI System Developer Intern

1 week ago

davangere, India beBeeArtificial Full time

Job Description:We are seeking a highly motivated individual to support the development, fine-tuning, and deployment of LLM-based agentic systems. The ideal candidate will work closely with our engineering team to prototype, evaluate, and optimize AI agents that integrate with complex technical workflows.Responsibilities:Work with state-of-the-art LLMs (OpenAI, Anthropic, etc.) for evaluation, tuning, and optimization.Fine-tune LLMs on domain-specific datasets.Build components of agentic AI systems, including planning, tool-use, and multi-step reasoning.Develop RAG (Retrieval-Augmented Generation) pipelines using embeddings, vector stores, and structured retrieval.Use LangGraph (or similar frameworks) to design and implement agent workflows.Contribute to ML experiments using deep learning frameworks such as PyTorch or TensorFlow.Work on cloud platforms (AWS or Oracle Cloud) for model deployment, storage, and scalable compute.Perform benchmarking, error analysis, and iterative improvement of AI systems.Qualifications:Must-Have Skills:Strong foundation in machine learning and deep learning.Hands-on experience with LLMs (APIs, fine-tuning, or system integration).Understanding of RAG architectures, embeddings, and vector databases.Familiarity with LangGraph, LangChain, or similar agent frameworks.Solid Python programming skills and ability to write clean, modular code.Basic knowledge of cloud platforms (AWS or Oracle Cloud).Nice-to-Have:Experience with MLOps concepts or distributed compute.Knowledge of data engineering or pipeline orchestration.Research or project experience involving LLM evaluation or agent architectures.

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