Overview
Skills
Job Details
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?