AI Agent & LLM Developer (Google Cloud)
About Us
WonderSouq
is an innovation and technology company that specializes in developing and designing immersive virtual 3D spaces and 3D engines. We excel in creating 3D online solutions for ambitious businesses and enthusiastic users alike to build unique experiences and drive higher engagement. We leverage Artificial Intelligence to
integrate AI capabilities into our existing solutions and develop entirely new AI, LLM, and ML-driven products and features
to transform our offerings. We are seeking a talented and skilled
AI Agent & LLM Developer
to join our dedicated
AI Team
and contribute to the design, development, and deployment of our next-generation enterprise AI agents, akin to the advanced conversational capabilities seen in industry leaders.
The Role
As an AI Agent & LLM Developer, you'll be a key individual contributor within our
AI Team
, responsible for the hands-on implementation and optimization of our AI agent ecosystem. You'll apply your expertise in Google Cloud's AI services to deliver human-like, intelligent, and scalable conversational experiences. This role requires strong technical skills in Large Language Models (LLMs), conversational AI platforms, speech technologies, and MLOps best practices within the Google Cloud ecosystem.
Key Responsibilities
-
Design & Development:
-
Integrate and extend AI capabilities into existing WonderSouq solutions
to enhance their functionality and user experience.
-
Develop and implement new AI, LLM, and ML solutions
from concept to production, focusing on conversational AI agents.
-
Design and implement complex conversational flows using
Dialogflow CX's visual flow builder
, including intents, entities, pages, routes, and fulfillment logic.
-
Integrate and optimize
Google Cloud Text-to-Speech (TTS)
, including leveraging
Custom Voice
models for branded voice experiences, and
Google Cloud Speech-to-Text (STT)
for accurate transcription.
-
Implement and fine-tune generative AI capabilities within Dialogflow CX and Vertex AI, utilizing
Gemini models
,
Generators
,
Generative Playbooks
, and
Vertex AI Search
for grounded responses.
-
Develop sophisticated backend logic and integrations using
Cloud Functions
or
Cloud Run
to connect AI agents with internal enterprise systems (CRM, ERP, databases) and external APIs.
-
Utilize and contribute to
Vertex AI Agent Development Kit (ADK)
for advanced agentic behavior, multi-agent orchestration, and complex tool chaining.
-
Optimization & Quality:
-
Optimize agent performance, accuracy, and efficiency through continuous iteration and testing.
-
Contribute to establishing and maintaining MLOps best practices for the AI agent lifecycle.
-
Implement robust monitoring, logging (Cloud Logging), and alerting (Cloud Monitoring) for agent performance and operational health.
-
Ensure solutions adhere to enterprise-grade security (IAM, VPC Service Controls, Secret Manager) and data governance standards.
-
Collaboration & Communication:
-
Collaborate closely with lead engineers, product managers, UX designers, data scientists, and other engineering teams to translate business requirements into technical solutions.
-
Communicate technical concepts clearly to both technical and non-technical stakeholders.
Qualifications
Minimum Qualifications
-
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, or equivalent practical experience.
-
3+ years of hands-on experience in software development, with a focus on AI/ML applications.
-
Proven experience in designing, developing, and deploying conversational AI solutions using
Google Cloud's Dialogflow CX
.
-
Strong experience with Google Cloud's voice AI services:
Cloud Text-to-Speech (TTS)
and
Cloud Speech-to-Text (STT)
.
-
Demonstrable experience with Large Language Models (LLMs), prompt engineering, and integrating generative AI capabilities into production systems.
-
Proficiency in Python and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch).
-
Solid understanding of cloud-native architecture patterns and serverless computing (
Cloud Functions, Cloud Run
).
-
Experience with API design and integration, including webhooks.
-
Understanding of MLOps principles.
Preferred Qualifications
-
Master's or Ph.D. in a related field.
-
Hands-on experience with
Vertex AI
, particularly
Vertex AI Agent Development Kit (ADK)
, Vertex AI Search, and Model Garden.
-
Experience with
Custom Voice
training in Google Cloud TTS.
-
Familiarity with other Google Cloud services like Pub/Sub, Cloud Storage, Firestore, Cloud SQL, or BigQuery for data management.
-
Experience in a regulated industry (e.g., finance, healthcare, telecommunications) with an understanding of compliance and data privacy.
-
Excellent problem-solving, analytical, and communication skills.
Location & Language
This position requires professional-level English proficiency and offers flexible work arrangements, including
hybrid
work or
in-office
presence at our Istanbul location.
If you are a passionate AI developer looking to make a significant impact by building cutting-edge conversational AI agents on Google Cloud, we encourage you to apply!