Highlights
Hands-on implementation, collaboration with senior engineers, working on innovative AI solutions.
Description
Job Summary
pWe are seeking an early-career engineer to contribute to the development of GenAI and agentic AI components using Vertex AI and ADK frameworks. This role involves hands-on coding, implementation of workflows, and collaboration with senior engineers.
Responsibilities
- Implement basic GenAI workflows including prompt engineering, embeddings, and simple RAG pipelines
- Build and integrate agent tools and simple planners using ADK framework
- Work with GCP services such as Vertex AI, BigQuery, Cloud Storage, Pub/Sub, and Cloud Run
- Write clean, documented code with unit tests and participate in code reviews
- Ensure basic observability through logs, error handling, and retries
Required Skills
- Prompt engineering
- Python programming
- Data pipelines
- GCP services knowledge
- Cloud platform experience
Required Skills Explained
- GenAI Basics: Understanding prompt engineering, embeddings, and simple RAG concepts.
- Agentic AI Basics: Knowledge of agent loops, tool integration, and memory fundamentals.
- GCP Services: Proficiency with Vertex AI, BigQuery, Cloud Storage, Pub/Sub services.
- Coding: Strong Python skills, familiarity with APIs and SDKs.
Who is this for
pThis position is ideal for individuals who are eager to learn and contribute in the field of GenAI and agentic AI. Ideal candidates have a passion for coding, cloud technologies, and hands-on project development.
Why This Job is a Good Opportunity
ulliOpportunity to work on cutting-edge GenAI technology using Google Cloud Platform.liPotential for rapid skill development under the guidance of experienced engineers.liHands-on experience in implementing AI workflows and contributing to high-quality software projects.liEngaging with a dynamic team and participating in design discussions, training sessions, and knowledge-sharing forums.
Interview Preparation Tips
- Review GenAI and agentic AI concepts thoroughly.
- Practice coding exercises using Python and familiarize yourself with GCP services.
- Prepares examples of how you have applied Responsible AI principles in previous projects.
- Prepare questions about the team's work processes, culture, and future projects.
Career Growth in This Role
pThis role provides a strong foundation for growth within the field of GenAI and agentic AI. Engineers will be able to enhance their technical skills through hands-on coding and working with advanced frameworks like Vertex AI and ADK. The opportunity to collaborate closely with senior engineers and participate in training sessions will foster professional development. As experience grows, there is potential to take on more complex projects, lead teams, or specialize in specific areas of GenAI.
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Skills
Frequently Asked Questions
What is the expected experience level for this role?This position is designed for early-career contributors with 1-3 years of experience in software/data engineering or ML development.
Are there any specific GCP services I need to be familiar with?Yes, you should have familiarity with Vertex AI, BigQuery, Cloud Storage, Pub/Sub, and Cloud Run.
What kind of learning opportunities are available for this role?You will attend design discussions, training sessions, and knowledge-sharing forums to enhance your skills in GenAI and agentic AI.
