Gen AI Engineer
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Austin, TX
🧪
Entry level
Job Description
Job Description:
We are seeking a talented and innovative GenAI Developer with specialized experience in Large Language Models (LLMs) and Chatbot development. The ideal candidate will have hands-on experience with LLM-based applications, including prompt engineering, reinforcement learning, data classification, and workflow design. This role requires a deep understanding of natural language processing (NLP), machine learning, and the ability to build intelligent and interactive conversational agents.
Key Responsibilities:
Job Description:
We are seeking a talented and innovative GenAI Developer with specialized experience in Large Language Models (LLMs) and Chatbot development. The ideal candidate will have hands-on experience with LLM-based applications, including prompt engineering, reinforcement learning, data classification, and workflow design. This role requires a deep understanding of natural language processing (NLP), machine learning, and the ability to build intelligent and interactive conversational agents.
Key Responsibilities:
- Chatbot Development: Design, develop, and deploy sophisticated chatbots and virtual assistants using Large Language Models (LLMs) like GPT, BERT, or similar frameworks.
- Prompt Engineering: Create, optimize, and fine-tune prompts to achieve desired outcomes in LLM-based applications, enhancing model performance and response accuracy.
- Reinforcement Learning: Implement reinforcement learning techniques to improve LLM-based systems, enabling adaptive learning and better decision-making.
- 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.
- Workflow Design: Design and implement workflows that integrate LLMs into various business processes, enhancing automation and efficiency.
- NLP and Machine Learning: Utilize advanced NLP techniques and machine learning algorithms to improve the functionality and capabilities of LLM-based applications.
- Collaboration: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to deliver high-quality AI-driven solutions.
- Testing and Evaluation: Conduct rigorous testing, validation, and evaluation of LLM-based models to ensure accuracy, reliability, and scalability.
- Documentation: Maintain comprehensive documentation of models, processes, and workflows, ensuring transparency and ease of knowledge transfer.
- 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.
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Proven experience in developing chatbots and conversational AI using LLMs.
- Strong expertise in prompt engineering and optimization for LLM-based applications.
- Experience with reinforcement learning techniques and their application in LLMs.
- Proficiency in data classification methods using LLMs and NLP techniques.
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
- Excellent problem-solving skills and the ability to work independently or as part of a team.
- Strong programming skills in Python, JavaScript, or other relevant languages.
- Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.