Role Summary
The Engineer is an early-career contributor focused on building and testing GenAI and agentic AI components on Google Cloud Platform using Vertex AI and ADK frameworks. This role emphasizes hands-on coding, learning best practices, and delivering high-quality features under guidance, while developing expertise in GCP and AI workflows.
Key Responsibilities
Development & Implementation
- Implement basic GenAI workflows: prompt engineering, embeddings, and simple RAG pipelines.
- Build and integrate agent tools and simple planners using ADK.
- Work with GCP services: Vertex AI, BigQuery, Cloud Storage, Pub/Sub, Cloud Run.
Quality & Testing
- Write clean, documented code with unit tests.
- Participate in code reviews and apply feedback to improve quality.
- Ensure basic observability: logs, error handling, retries.
Collaboration & Learning
- Work closely with senior engineers and team leads to understand architecture and standards.
- Attend design discussions, training sessions, and knowledge-sharing forums.
- Contribute to documentation and team wikis.
Compliance & Safety
- Apply Responsible AI principles: use safety prompts and filters.
- Follow security guidelines: IAM roles, secret management, and data handling policies.
Required Technical Competencies
- GenAI Basics: Prompt engineering, embeddings, simple RAG concepts.
- Agentic AI Basics: Agent loops, tool integration, memory fundamentals.
- GCP Services: Vertex AI, BigQuery, Cloud Storage, Pub/Sub.
- Coding: Proficiency in Python; familiarity with APIs and SDKs.
Qualifications
- 1–3 years in software/data engineering or ML development.
- Exposure to AI/ML concepts and cloud platforms (preferably GCP).
- Strong coding fundamentals and eagerness to learn GenAI and agentic patterns.
Outcomes & KPIs
- Delivery: Assigned tasks completed on time with minimal defects.
- Learning: Demonstrates growth in GenAI and agentic competencies.
- Collaboration: Actively participates in reviews and team discussions.
Demonstrated Behaviors
Execution
- Delivers assigned tasks with attention to detail.
- Seeks clarity and applies feedback promptly.
Learning
- Shows curiosity; asks questions; adopts best practices.
- Documents learnings and shares with peers.
Collaboration
- Communicates effectively; works well in team settings.
- Respects coding standards and security guidelines.
