AI Systems Developer

2 weeks ago


pushkar, India beBeeArtificial Full time

Job Opportunity: Become a Key Player in Developing Innovative AI SystemsAs an AI Engineering Intern, you will be part of a dynamic team that is pushing the boundaries of engineering automation. Our innovative defense technology company focuses on building next-generation agentic AI systems that enable autonomous reasoning, workflow orchestration, and intelligent automation.Key aspects of this role include working closely with our engineering team to prototype, evaluate, and optimize LLM-based agentic systems. You will also have the opportunity to fine-tune LLMs on domain-specific datasets, build components of agentic AI systems, develop RAG pipelines, and contribute to ML experiments using deep learning frameworks such as PyTorch or TensorFlow.For this position, we are seeking a highly motivated individual with a strong foundation in machine learning and deep learning. Experience with LLMs (APIs, fine-tuning, or system integration) is essential. Familiarity with LangGraph, LangChain, or similar agent frameworks, as well as solid Python programming skills, is also required.Additional skills that would be beneficial for this role include experience with MLOps concepts or distributed compute, knowledge of data engineering or pipeline orchestration, and research or project experience involving LLM evaluation or agent architectures.Responsibilities:Work with state-of-the-art LLMs for evaluation, tuning, and optimizationFine-tune LLMs on domain-specific datasetsBuild components of agentic AI systems, including planning, tool-use, and multi-step reasoningDevelop RAG pipelines using embeddings, vector stores, and structured retrievalContribute to ML experiments using deep learning frameworks such as PyTorch or TensorFlowWork on cloud platforms (AWS or Oracle Cloud) for model deployment, storage, and scalable computePerform benchmarking, error analysis, and iterative improvement of AI systemsRequirements:Strong foundation in machine learning and deep learningHands-on experience with LLMs (APIs, fine-tuning, or system integration)Understanding of RAG architectures, embeddings, and vector databasesFamiliarity with LangGraph, LangChain, or similar agent frameworksSolid Python programming skills and ability to write clean, modular codeBasic knowledge of cloud platforms (AWS or Oracle Cloud)What We Offer:A chance to work with cutting-edge technology, collaborate with experienced professionals, and contribute to the development of innovative AI systems.



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