GenAI Engineer (Python,RAG,LLM)
Core
Design, build, and deploy scalable AI-powered applications using Large Language Models and Google Cloud Platform for enterprise clients.
Role type
GenAI Developer (GCP)
Builds
Production-ready AI applications integrated into enterprise environments
Domain
Financial services and energy industries
Deliverable
production ML models
Required skills
Python, Google Cloud Platform (Vertex AI, BigQuery, Cloud Run/Functions), LLM APIs (OpenAI, Vertex AI), RAG architectures, prompt engineering, REST APIs, microservices
Preferred skills
LangChain, LlamaIndex, embeddings, vector search, LLMOps/MLOps on GCP, AI governance, banking experience
Technologies
Python, GCP, Vertex AI, BigQuery, Cloud Run, Cloud Functions, OpenAI, LangChain, LlamaIndex
Responsibilities
Design and build AI applications leveraging LLMs; Develop scalable solutions using GCP services; Integrate LLM APIs into enterprise systems; Design and implement RAG architectures; Apply prompt engineering techniques; Build and maintain REST APIs and microservices; Collaborate with cross-functional teams; Deliver high-quality solutions in agile, client-facing environments
Seniority
Mid-level (3–6 years experience)