Iotetech
We are looking for a
AI Engineer
to design, develop, and enhance a next-generation AI-powered chatbot. This role will focus on leveraging
Generative AI, Large Language Models (LLMs), and Natural Language Processing (NLP)
to create intelligent, dynamic, and context-aware virtual assistants. The ideal candidate will collaborate closely with business stakeholders to refine AI interactions and ensure seamless user experiences. Experience:
2-5 years
Start Date:
Immediate Joiners
Employment:
Contract
Location:
Michigan, USA
Key Responsibilities
Develop and optimize
Generative AI-powered
virtual assistants for dynamic and accurate responses. Utilize
LLMs and fine-tuning techniques
within
Vertex AI
to improve conversational capabilities. Design and implement
conversational experiences in Dialogflow CX , incorporating Playbooks and structured tools. Analyze chatbot performance using
BigQuery and Looker Studio , ensuring continuous improvement. Apply
prompt engineering strategies
to refine AI interactions and optimize response quality. Implement
retrieval-augmented generation (RAG) techniques
to enhance the chatbot’s ability to provide real-time, relevant information. Integrate
Google Cloud Functions
for seamless backend automation and connectivity. Collaborate with stakeholders to align AI solutions with business goals and compliance requirements. Monitor, evaluate, and iterate AI model performance using real-world user feedback. Required Qualifications
Bachelor’s or Master’s degree
in Computer Science, Artificial Intelligence, or related field. Proven experience in developing AI-powered chatbots or virtual assistants using
Dialogflow CX and Vertex AI . Strong understanding of
Generative AI, NLP, LLMs, and prompt engineering techniques . Expertise in
Google Cloud Services , including
Vertex AI, BigQuery, Looker Studio, and Cloud Functions . Familiarity with
Dialogflow Playbooks and Tools
for structured AI development. Hands-on experience in
analyzing AI performance metrics
and improving model accuracy. Ability to translate business requirements into effective
Conversational AI
solutions. Strong problem-solving skills and the ability to work across technical and non-technical teams. Preferred Qualifications
Knowledge of
APIs, cloud security best practices, and AI ethics . Proficiency in
Python or JavaScript
for AI model integration and automation. Experience with
retrieval-augmented generation (RAG) approaches
for knowledge retrieval. Experience deploying
Infrastructure as Code (IaC)
using
Terraform . Apply Now!
Apply now to become an integral part of our innovative team at IOTE Technologies and its partner companies.
#J-18808-Ljbffr
AI Engineer
to design, develop, and enhance a next-generation AI-powered chatbot. This role will focus on leveraging
Generative AI, Large Language Models (LLMs), and Natural Language Processing (NLP)
to create intelligent, dynamic, and context-aware virtual assistants. The ideal candidate will collaborate closely with business stakeholders to refine AI interactions and ensure seamless user experiences. Experience:
2-5 years
Start Date:
Immediate Joiners
Employment:
Contract
Location:
Michigan, USA
Key Responsibilities
Develop and optimize
Generative AI-powered
virtual assistants for dynamic and accurate responses. Utilize
LLMs and fine-tuning techniques
within
Vertex AI
to improve conversational capabilities. Design and implement
conversational experiences in Dialogflow CX , incorporating Playbooks and structured tools. Analyze chatbot performance using
BigQuery and Looker Studio , ensuring continuous improvement. Apply
prompt engineering strategies
to refine AI interactions and optimize response quality. Implement
retrieval-augmented generation (RAG) techniques
to enhance the chatbot’s ability to provide real-time, relevant information. Integrate
Google Cloud Functions
for seamless backend automation and connectivity. Collaborate with stakeholders to align AI solutions with business goals and compliance requirements. Monitor, evaluate, and iterate AI model performance using real-world user feedback. Required Qualifications
Bachelor’s or Master’s degree
in Computer Science, Artificial Intelligence, or related field. Proven experience in developing AI-powered chatbots or virtual assistants using
Dialogflow CX and Vertex AI . Strong understanding of
Generative AI, NLP, LLMs, and prompt engineering techniques . Expertise in
Google Cloud Services , including
Vertex AI, BigQuery, Looker Studio, and Cloud Functions . Familiarity with
Dialogflow Playbooks and Tools
for structured AI development. Hands-on experience in
analyzing AI performance metrics
and improving model accuracy. Ability to translate business requirements into effective
Conversational AI
solutions. Strong problem-solving skills and the ability to work across technical and non-technical teams. Preferred Qualifications
Knowledge of
APIs, cloud security best practices, and AI ethics . Proficiency in
Python or JavaScript
for AI model integration and automation. Experience with
retrieval-augmented generation (RAG) approaches
for knowledge retrieval. Experience deploying
Infrastructure as Code (IaC)
using
Terraform . Apply Now!
Apply now to become an integral part of our innovative team at IOTE Technologies and its partner companies.
#J-18808-Ljbffr