Artmac

Job Title : GenAI Developer – LLMs and Chatbot Specialist. Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.. Chatbot Development: Design, develop, and deploy sophisticated chatbots and virtual assistants using Large Language Models (LLMs) like GPT, BERT, or similar frameworks.. Reinforcement Learning: Implement reinforcement learning techniques to improve LLM-based systems, enabling adaptive learning and better decision-making.. NLP and Machine Learning: Utilize advanced NLP techniques and machine learning algorithms to improve the functionality and capabilities of LLM-based applications.

specialist

Who We Are Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to customers. Job Description Job Title : GenAI Developer – LLMs and Chatbot Specialist Job Type : W2 Experience : 5-25 years Location : Austin, Texas Responsibilities <ul><li>Proven experience in developing chatbots and conversational AI using LLMs.</li><li>Strong expertise in prompt engineering and optimization for LLM-based applications.</li><li>Experience with reinforcement learning techniques and their application in LLMs.</li><li>Proficiency in data classification methods using LLMs and NLP techniques.</li><li>Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.</li><li>Excellent problem-solving skills and the ability to work independently or as part of a team.</li><li>Strong programming skills in Python, JavaScript, or other relevant languages.</li><li>Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.</li><li>Chatbot Development: Design, develop, and deploy sophisticated chatbots and virtual assistants using Large Language Models (LLMs) like GPT, BERT, or similar frameworks.</li><li>Prompt Engineering: Create, optimize, and fine-tune prompts to achieve desired outcomes in LLM-based applications, enhancing model performance and response accuracy.</li><li>Reinforcement Learning: Implement reinforcement learning techniques to improve LLM-based systems, enabling adaptive learning and better decision-making.</li><li>Data Classification: Develop and apply data classification algorithms using LLMs to categorize and structure large volumes of text data, ensuring accurate data processing and analysis.</li><li>Workflow Design: Design and implement workflows that integrate LLMs into various business processes, enhancing automation and efficiency.</li><li>NLP and Machine Learning: Utilize advanced NLP techniques and machine learning algorithms to improve the functionality and capabilities of LLM-based applications.</li><li>Collaboration: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to deliver high-quality AI-driven solutions.</li><li>Testing and Evaluation: Conduct rigorous testing, validation, and evaluation of LLM-based models to ensure accuracy, reliability, and scalability.</li><li>Documentation: Maintain comprehensive documentation of models, processes, and workflows, ensuring transparency and ease of knowledge transfer.</li><li>Continuous Learning: Stay updated on the latest advancements in LLMs, NLP, and AI, and apply this knowledge to continuously improve and innovate within the role. </li></ul>Qualification <ul><li>Bachelor’s degree in Computer Science, Information Security, or a related field.</li></ul>

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