What are the responsibilities and job description for the Conversational Ai Engineer position at TEKsystems c/o Allegis Group?
Job Details
Description
We are seeking a Conversational AI Engineer to design, implement, and enhance a conversational AI agent leveraging the latest advancements in Generative AI and Natural Language Processing (NLP). This role will work closely with business stakeholders to understand user needs, analyze AI interactions, and develop intelligent, responsive chatbot experiences. The ideal candidate has experience with Dialogflow CX, Vertex AI, BigQuery, and Looker Studio, as well as a deep understanding of LLMs (Large Language Models), prompt engineering, and fine-tuning AI models. Key Responsibilities Develop and optimize a Generative AI-powered virtual assistant to provide accurate, dynamic, and context-aware responses. Leverage LLMs and fine-tuning techniques within Vertex AI for advanced conversational capabilities. Implement and refine conversational experiences in Dialogflow CX, incorporating Playbooks and Tools for structured interactions. Analyze chatbot performance using BigQuery and Looker Studio to identify areas for improvement and enhance response quality. Create guided conversational flows and prompt engineering strategies to optimize AI responses. Enhance AI reasoning and retrieval-augmented generation (RAG) techniques to improve the agent's ability to pull in relevant, up-to-date information. Integrate Google Cloud Functions for seamless backend connectivity and automation. Work with stakeholders to ensure AI solutions align with business goals and compliance requirements. Monitor and iterate on AI model performance, implementing continual improvements based on user feedback and analytics. Summary: Experience in programming languages such as Python, Java, JavaScript (Node.js), and/or C . Experience in Oracle/Data Bricks/Elastic/ELK. Proficiency in data processing and analysis using tools such as SQL, R, and/or Pandas. Experience in working with large datasets and data preprocessing techniques. Proficiency in unit testing and integration testing for chatbot flows and APIs. Familiarity with debugging tools and performance monitoring to ensure the chatbot runs smoothly. Strong understanding of conversation design and user experience principles to create intuitive and engaging chatbot interfaces. Ability to design, develop, and deploy AI and machine learning solutions. Experience with machine learning algorithms and deep learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn. Proficiency with Natural Language Processing (NLP) tools like SpaCy, NLTK, or Hugging Face's Transformers for text-based document processing. Knowledge of NLP concepts like intent recognition, entity extraction, and context management. Strong understanding of neural networks, computer vision, natural language processing, and/or reinforcement learning. Experience with OCR (Optical Character Recognition) Tesseract, Google Vision API, or AWS Textract. Proficiency in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools. Experience in building, managing, and optimizing chatbot applications for different platforms (web, mobile, voice assistants). Experience in working with RESTful APIs and webhooks to enable backend communication Knowledge of cloud technologies such as AWS, Google Cloud AI, or Azure AI services for document processing and AI model deployment. Experience with Google Cloud Platform (Google Cloud Platform), including Google Cloud Functions, App Engine, and Firestore for deploying chatbots. Ability to design effective conversational flows, manage dialogue context, and improve user satisfaction. Familiarity with agile development methodologies and version control systems like Git. Strong problem-solving and analytical skills with a focus on continuous improvement.
Skills
AI-powered chatbot, dialogflow, Vertex AI, generative AI, Google Cloud
Top Skills Details
AI-powered chatbot,dialogflow,Vertex AI,generative AI,Google Cloud
Additional Skills & Qualifications
Required Qualifications Bachelor's or master's degree in computer science, Computer Information Systems, AI, or a related field. Experience developing AI-powered chatbots or virtual assistants, preferably using Dialogflow CX and Vertex AI. Strong understanding of Generative AI, LLMs, NLP, and prompt engineering techniques. Proficiency in Google Cloud Services, including Vertex AI, BigQuery, Looker Studio, and Cloud Functions. Familiarity with Dialogflow Playbooks and Tools for structured conversational AI development. Experience analyzing AI performance metrics and improving model accuracy. Ability to translate business needs into effective Generative AI solutions. Strong problem-solving skills and ability to work with both technical and non-technical stakeholders. Preferred Qualifications Familiarity with APIs, cloud security best practices, and AI ethics. Proficiency in Python or JavaScript for AI model integration and automation. Experience with RAG-based AI approaches to improve knowledge retrieval in conversations. Experience deploying infrastructure as code using Terraform.
Experience Level
Expert Level
Pay and Benefits
The pay range for this position is $50.00 - $70.00/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a hybrid position in Lansing,MI.
Application Deadline
This position is anticipated to close on Mar 14, 2025.
About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
We are seeking a Conversational AI Engineer to design, implement, and enhance a conversational AI agent leveraging the latest advancements in Generative AI and Natural Language Processing (NLP). This role will work closely with business stakeholders to understand user needs, analyze AI interactions, and develop intelligent, responsive chatbot experiences. The ideal candidate has experience with Dialogflow CX, Vertex AI, BigQuery, and Looker Studio, as well as a deep understanding of LLMs (Large Language Models), prompt engineering, and fine-tuning AI models. Key Responsibilities Develop and optimize a Generative AI-powered virtual assistant to provide accurate, dynamic, and context-aware responses. Leverage LLMs and fine-tuning techniques within Vertex AI for advanced conversational capabilities. Implement and refine conversational experiences in Dialogflow CX, incorporating Playbooks and Tools for structured interactions. Analyze chatbot performance using BigQuery and Looker Studio to identify areas for improvement and enhance response quality. Create guided conversational flows and prompt engineering strategies to optimize AI responses. Enhance AI reasoning and retrieval-augmented generation (RAG) techniques to improve the agent's ability to pull in relevant, up-to-date information. Integrate Google Cloud Functions for seamless backend connectivity and automation. Work with stakeholders to ensure AI solutions align with business goals and compliance requirements. Monitor and iterate on AI model performance, implementing continual improvements based on user feedback and analytics. Summary: Experience in programming languages such as Python, Java, JavaScript (Node.js), and/or C . Experience in Oracle/Data Bricks/Elastic/ELK. Proficiency in data processing and analysis using tools such as SQL, R, and/or Pandas. Experience in working with large datasets and data preprocessing techniques. Proficiency in unit testing and integration testing for chatbot flows and APIs. Familiarity with debugging tools and performance monitoring to ensure the chatbot runs smoothly. Strong understanding of conversation design and user experience principles to create intuitive and engaging chatbot interfaces. Ability to design, develop, and deploy AI and machine learning solutions. Experience with machine learning algorithms and deep learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn. Proficiency with Natural Language Processing (NLP) tools like SpaCy, NLTK, or Hugging Face's Transformers for text-based document processing. Knowledge of NLP concepts like intent recognition, entity extraction, and context management. Strong understanding of neural networks, computer vision, natural language processing, and/or reinforcement learning. Experience with OCR (Optical Character Recognition) Tesseract, Google Vision API, or AWS Textract. Proficiency in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools. Experience in building, managing, and optimizing chatbot applications for different platforms (web, mobile, voice assistants). Experience in working with RESTful APIs and webhooks to enable backend communication Knowledge of cloud technologies such as AWS, Google Cloud AI, or Azure AI services for document processing and AI model deployment. Experience with Google Cloud Platform (Google Cloud Platform), including Google Cloud Functions, App Engine, and Firestore for deploying chatbots. Ability to design effective conversational flows, manage dialogue context, and improve user satisfaction. Familiarity with agile development methodologies and version control systems like Git. Strong problem-solving and analytical skills with a focus on continuous improvement.
Skills
AI-powered chatbot, dialogflow, Vertex AI, generative AI, Google Cloud
Top Skills Details
AI-powered chatbot,dialogflow,Vertex AI,generative AI,Google Cloud
Additional Skills & Qualifications
Required Qualifications Bachelor's or master's degree in computer science, Computer Information Systems, AI, or a related field. Experience developing AI-powered chatbots or virtual assistants, preferably using Dialogflow CX and Vertex AI. Strong understanding of Generative AI, LLMs, NLP, and prompt engineering techniques. Proficiency in Google Cloud Services, including Vertex AI, BigQuery, Looker Studio, and Cloud Functions. Familiarity with Dialogflow Playbooks and Tools for structured conversational AI development. Experience analyzing AI performance metrics and improving model accuracy. Ability to translate business needs into effective Generative AI solutions. Strong problem-solving skills and ability to work with both technical and non-technical stakeholders. Preferred Qualifications Familiarity with APIs, cloud security best practices, and AI ethics. Proficiency in Python or JavaScript for AI model integration and automation. Experience with RAG-based AI approaches to improve knowledge retrieval in conversations. Experience deploying infrastructure as code using Terraform.
Experience Level
Expert Level
Pay and Benefits
The pay range for this position is $50.00 - $70.00/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a hybrid position in Lansing,MI.
Application Deadline
This position is anticipated to close on Mar 14, 2025.
About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $50 - $70
