Full Stack Developer (Agentic AI Stack Experience) Position Available In Fulton, Georgia

Tallo's Job Summary: Seeking Full Stack Developers with experience in Agentic AI stacks for a position in Alpharetta, GA. Responsibilities include designing, developing scalable backend services, and leveraging Google Cloud Platform tools. Required skills include Python proficiency, API development, and familiarity with AI/ML lifecycle. Contact Peter at Eminence Technology Solutions LLC for more information.

Company:
Educational Testing Service
Salary:
JobFull-timeOnsite

Job Description

Full Stack Developer (Agentic AI Stack Experience)

Job Title:

Full Stack Developer (Agentic AI Stack Experience)
No. of

Openings:

2

RGS ID:
Location:

Alpharetta, GA (Onsite from Day 1)

Experience Required:

7+ years

Key Responsibilities:

Design, develop, and maintain scalable backend services and APIs using object-oriented languages such as Python, Ruby, Go, Swift, or Java.
Develop full-stack applications, including front-end components using frameworks like Angular or React.
Leverage Google Cloud Platform (Google Cloud Platform) native tools such as BigQuery, CloudStorage, Dataflow, GKE, Cloud Run, Pub/Sub, and Vertex AI.
Design and implement ML pipelines and services with MLOps practices.
Work with LLMs and Generative AI models on Google Cloud Platform.
Utilize Agentic AI frameworks such as Google ADK, LangGraph, or Model Context Protocol (MCP).
Apply prompt engineering, context management, and embedding techniques for intelligent application behavior.

Required Skills:

Strong proficiency in Python programming
.
Experience with API (RESTful, GraphQL) and microservices development.
Hands-on with Google Cloud Platform services
, especially for AI/ML workloads.
Familiarity with AI/ML lifecycle
, using tools like TensorFlow, PyTorch, BigQuery ML.
Understanding of Generative AI concepts and LLMs on Google Cloud Platform.
Experience in MLOps tools and practices.
Front-end development experience with Angular, React, or similar.
Knowledge and practical experience with Agentic AI libraries and protocols.
Nice to

Have:

Experience with Google ADK, LangGraph, or MCP.
Prior experience building context-aware agentic systems or autonomous AI agents.

Screening Questions:

Do you have experience in Backend, API, and Microservices development?
Are you proficient in Python programming?
Have you worked with Google Cloud Platform native tools and services?
Are you familiar with AI/ML lifecycle and MLOps principles?
Do you have knowledge of front-end frameworks such as Angular or React?
Thanks and Regards,
Peter
Recruitment manager
Eminence Technology Solutions LLC

Email:
Website:

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.
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Dice Id:

10515494

Position Id:

8635049

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