GenAI Engineer | LLMs & AWS
Core
Design, build, and deploy AI agents and GenAI solutions within CI/CD workflows on AWS to create scalable, production-ready applications.
Role type
Senior GenAI Engineer (LLMs & MLOps)
Builds
Production AI agents, RAG pipelines, and GenAI-powered software features
Domain
Generative AI, Large Language Models, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector databases, AWS services, CI/CD integration, Model deployment, AI security
Preferred skills
Container orchestration (Docker/Kubernetes), AI governance, Bias mitigation, Multi-cloud experience, NoSQL databases
Technologies
AWS (SageMaker, Lambda, S3, API Gateway), Python, PyTorch, TensorFlow, Hugging Face, LangChain, Faiss, Pinecone, Docker, Kubernetes, Jenkins, GitHub Actions
Responsibilities
Design and optimize AI models and autonomous agents; Integrate GenAI capabilities into production workflows; Mentor team members on MLOps and responsible AI; Evaluate and pilot new AI technologies; Collaborate on translating business needs into scalable solutions; Ensure governance, risk, and compliance in AI initiatives
Seniority
Senior, hands-on IC with mentorship responsibilities