Conversational AI Engineer
2 weeks ago
Company Background
Artmac Soft LLC is a leading technology consulting firm focused on delivering cutting-edge solutions and services tailored to meet the evolving needs of our clients.
Position Summary
We are seeking a Conversational AI Engineer specializing in LLMs and chatbot development.
Job Type: W2
Experience Required: 5-25 years
Location: Remote
Key Responsibilities:
- Demonstrated expertise in crafting chatbots and conversational AI utilizing Large Language Models (LLMs).
- In-depth knowledge of prompt engineering and optimization techniques for LLM applications.
- Experience applying reinforcement learning methodologies within LLM frameworks.
- Skilled in data classification strategies leveraging LLMs and natural language processing (NLP) techniques.
- Hands-on proficiency with machine learning platforms such as TensorFlow, PyTorch, or equivalent.
- Strong analytical abilities with a capacity to work autonomously or collaboratively.
- Proficient programming skills in Python, JavaScript, or other relevant programming languages.
- Ability to convey complex technical ideas clearly to both technical and non-technical audiences.
- Chatbot Development: Design, create, and implement advanced chatbots and virtual assistants using LLMs like GPT, BERT, or comparable technologies.
- Prompt Engineering: Develop, refine, and optimize prompts to enhance performance and accuracy in LLM-driven applications.
- Reinforcement Learning: Employ reinforcement learning strategies to enhance LLM systems, facilitating adaptive learning and improved decision-making.
- Data Classification: Create and implement data classification algorithms utilizing LLMs to effectively organize and analyze extensive text datasets.
- Workflow Design: Architect and execute workflows that integrate LLMs into diverse business operations, boosting automation and productivity.
- NLP and Machine Learning: Leverage advanced NLP methodologies and machine learning techniques to augment the functionality of LLM applications.
- Collaboration: Collaborate with multidisciplinary teams, including data scientists, product managers, and software developers, to deliver superior AI-driven solutions.
- Testing and Evaluation: Conduct thorough testing, validation, and assessment of LLM models to ensure reliability, accuracy, and scalability.
- Documentation: Maintain detailed documentation of models, processes, and workflows to ensure clarity and facilitate knowledge sharing.
- Continuous Learning: Remain informed about the latest advancements in LLMs, NLP, and AI, applying this knowledge to foster innovation and improvement in the role.
- Bachelor's degree in Computer Science, Information Security, or a related discipline.
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