AI Chatbot Engineer
2 weeks ago
Position Summary:
We are seeking an AWS LLM based AI Chatbot Engineerto design and implement an AI-powered chatbot application leveraging AWS cloud services and large language models (LLMs). The ideal candidate will have expertise in AWS AI/ML services, NLP, and chatbot development, with a strong focus on scalable, secure, and efficient solutions.
Roles & Responsibilities:
· Architect and Develop: Design, develop, and deploy AI chatbot applications using AWS cloud services and LLMs.
· Leverage AWS AI/ML Services: Utilize AWS services such as Amazon Bedrock, SageMaker, Lambda, Lex, and Rekognition to enhance chatbot intelligence.
· LLM Implementation: Fine-tune, optimize, and deploy large language models for chatbot use cases, ensuring accuracy and efficiency.
· Data Pipeline and Storage: Implement data pipelines using AWS Glue, S3, DynamoDB, and RDS for chatbot training and inference.
· Scalability & Security: Ensure the chatbot is scalable, secure, and compliant with AWS best practices.
· API Integrations: Connect the chatbot with external APIs, enterprise applications, and backend services.
· Monitoring & Optimization: Use AWS CloudWatch, X-Ray, and logging tools to track performance, improve response accuracy, and optimize cost efficiency.
· Collaboration: Work closely with data scientists, cloud engineers, and business teams to refine chatbot functionality.
· Stay Updated: Keep up with AI/ML advancements, AWS innovations, and LLM optimization techniques.
Preferred Skills:
· Education: Bachelor's or Master's in Computer Science, AI, Data Science, or a related field.
· Experience: 1+ years in AI chatbot development, LLMs, and AWS cloud architecture.
· Technical Skills:
o Strong knowledge of AWS services (Bedrock, SageMaker, Lambda, Lex, DynamoDB, etc.).
o Hands-on experience with LLMs, NLP, and AI/ML model training and deployment.
o Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
o Experience with serverless architectures and API integrations.
o Strong understanding of cloud security best practices.
· Soft Skills: Excellent problem-solving, communication, and team collaboration skills.
Qualifications:
· AWS Certification, Machine Learning Specialty, or related certifications.
· Experience with chatbot frameworks
Tell employers what skills you haveTensorFlow
Team Collaboration
RDS
Scalability
Pipelines
Architect
SageMaker
DynamoDB
Soft Skills
Logging
PyTorch
Cloud Services
Data Science
API
S3
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