Description

You will develop and deploy Generative AI solutions on Google Cloud Vertex AI to generate insights from structured and unstructured data.

This role is on-site.

Responsibilities

• Integrate diverse data sources and structures into LLM-based solutions using best practices.
• Implement prompt engineering and Retrieval-Augmented Generation (RAG) strategies to improve response accuracy.
• Embed GenAI capabilities into data pipelines, dashboards, and REST APIs for real-time analytics.
• Translate business requirements into AI-enabled analytical and technical solutions.
• Communicate complex technical concepts clearly to technical and non-technical audiences.

Required Skills

• Bachelor’s degree or higher in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field.
• 2+ years shipping production-grade software.
• 1+ years deploying solutions on modern cloud environments.
• Proficiency in Python, LangChain, and either Java or C/C++.
• Experience with REST API clients and platforms such as Spring or Flask.
• Ability to learn and apply new technologies, particularly in Generative AI research.
• Strong analytical communication skills.

Preferred Skills

• Master’s degree in a related field.
• Exposure to Vertex AI, GCP AI/ML services (AutoML, BigQuery ML, Cloud Run).
• Foundational Linux skills and understanding of NLP, deep learning, and generative architectures (Transformers, Diffusion Models).

Key Skills

Education

Any Graduate