GenAI Engineer

GenAI Engineer

Key RAG IMPLEMENTATION USING GEMINI STACK AND VERTEX STACK

Location: Remote

We are seeking a highly skilled Generative AI / Machine Learning Engineer with expertise in Google Cloud Vertex AI, AWS AI/ML services, Deep Learning, LangChain, and LangGraph. The candidate will design, develop, and deploy advanced AI/ML models and frameworks to solve enterprise challenges, while ensuring scalable, secure, and production-ready implementations.
Key Responsibilities
Design, build, and deploy end-to-end ML pipelines using Google Vertex AI, AWS SageMaker, and cloud-native services.

Establish prompt engineering strategies, retrieval-augmented generation (RAG), and model fine-tuning.
Develop and fine-tune Large Language Models (LLMs) for enterprise applications.
Implement Generative AI solutions across text, image, and multimodal use cases.
Leverage LangChain/LangGraph frameworks to build AI agents and orchestration flows.
Collaborate with data engineers, scientists, and business stakeholders to integrate AI solutions.
Ensure compliance with AI security, governance, and ethical guidelines.
Document processes, track metrics, and monitor model performance.
Mandatory Skills

• 10+ years of Overall experience
• 5+ years of experience in AI/ML development.
• At least a year of Implementation experience using Vertex AI
• Strong expertise in Google Vertex AI and AWS ML services (SageMaker, Bedrock, etc.).