Position: GEN AI Architect and Prompt Engineer
Location: Remote
Type: Contract
Responsibilities:
This role's responsibilities are divided into two primary
areas: AI architecture and prompt engineering.
AI Architecture & Development / Support
- Design
and Implement AI Solutions: Architect, design, and deploy
end-to-end conversational AI agents and virtual assistants on
the GCP platform.
- Platform
Expertise: Utilize a deep knowledge of GCP AI technologies,
including Vertex AI, Dialogflow CX,
Conversational AI (CCAI), Playbooks, Conversational
Agents and related services.
- Integrations: Build
and manage integrations between conversational agents and various backend
systems, APIs, and other Google Cloud services.
- Lifecycle
Management: Manage the full lifecycle of AI agents, from
initial proof-of-concept to production deployment and ongoing maintenance.
This includes monitoring performance, troubleshooting issues, and
implementing MLOps best practices.
Prompt Engineering & Conversation Building
- Prompt Design: Craft
and refine prompts and instructions for
generative AI models to ensure accurate, relevant, and helpful
responses.
- Conversation
Design: Design natural and effective conversational flows for both
voice and chat agents. This involves defining user journeys, intents,
entities, and state handlers.
- Agent
Tuning: Tune and optimize NLU (Natural Language Understanding) models
and AI agent performance through data analysis and iterative
refinement.
- Content
& Ethics: Ensure that AI-generated content is high-quality,
on-brand, and adheres to responsible AI principles, including
safety and fairness.
Required Skills &
Qualifications
To succeed in this role, a candidate needs a
blend of technical expertise, linguistic aptitude, and strong communication
skills.
- Technical
Proficiency:
- GCP: Extensive,
hands-on experience with Google Cloud Platform, specifically
Vertex AI, Dialogflow CX, and other
conversational AI services.
- Programming: Proficiency
in programming languages like Python is essential for building
integrations, automating tasks, and analyzing data.
- APIs
& Data: Experience with REST APIs, webhooks, and data management
systems.
- Conversational
Expertise:
- Linguistics: A
strong understanding of human language, syntax, and conversational
nuances.
- Prompt Engineering: Proven
experience in crafting effective prompts for Large Language Models
(LLMs) and generative AI.
- Conversation
Building: Experience in designing and building engaging and logical
conversations.
- Soft
Skills:
- Problem-Solving: Strong
analytical and critical thinking skills to diagnose and resolve complex
technical and conversational issues.
- Collaboration: Excellent
communication and collaboration skills to work effectively with
cross-functional teams, including developers, product managers, and
business stakeholders.
- Adaptability: The
ability to stay up-to-date with the rapidly evolving field
of AI and quickly learn new tools and techniques.
Gurpreet
Singh
Sr. Technical
Recruiter
Excelon Solutions
2625 N Josey Ln Suite# 322, Carrollton, Texas, 75007, United
States
gurpree...@excelonsolutions.com |