Jobs → Engineering → Gen AI Engineer

About the Role We are looking for a highly skilled Gen AI Engineer with strong hands-on experience in Generative AI, AWS, Google Cloud Platform (GCP), and microservices architecture. The ideal candidate will be responsible for designing, developing, deploying, and scaling AI-powered applications using LLMs, RAG, cloud-native services, and distributed microservices. Key Responsibilities • Design, develop, and deploy Generative AI applications using LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG). • Develop and deploy AI solutions using AWS and GCP cloud platforms. • Build scalable microservices using Python, FastAPI, Flask, or similar frameworks. • Develop REST APIs and integrate Gen AI models with enterprise applications. • Work with AWS services such as Amazon Bedrock, SageMaker, Lambda, ECS, EKS, and S3. • Work with GCP services such as Vertex AI, Gemini, Cloud Run, GKE, and Cloud Storage. • Design and implement cloud-native applications using Docker and Kubernetes. • Implement CI/CD pipelines, monitoring, logging, and automated deployments. • Optimize LLM performance, latency, scalability, and cloud infrastructure costs. • Collaborate with data engineering, DevOps, and application development teams. Requirements • Strong experience in Generative AI, LLMs, RAG, and prompt engineering. • Strong hands-on development experience with AWS and GCP. • Excellent programming skills in Python. • Strong experience developing and deploying microservices architecture. • Experience with FastAPI, Flask, REST APIs, and asynchronous programming. • Hands-on experience with Amazon Bedrock, SageMaker, Vertex AI, or Gemini. • Experience with LangChain, LangGraph, or LlamaIndex. • Experience with Docker, Kubernetes, CI/CD, and cloud deployment. • Strong understanding of API security, authentication, scalability, and distributed systems.