GenAI Engineer | LLMs, NLP & Cloud (MLOps)
Core
Design, develop, and deploy Generative AI solutions, LLMs, and NLP pipelines on cloud platforms for enterprise clients.
Role type
Senior Generative AI Engineer (MLOps)
Builds
Scalable, production-ready AI-powered applications and autonomous AI workflows
Domain
Enterprise Technology / Generative AI / Cloud Infrastructure
Deliverable
production ML models
Required skills
Generative AI, Large Language Models (LLMs), Python, Retrieval-Augmented Generation (RAG), Vector databases, Cloud deployment (AWS/Azure/GCP), MLOps, AI governance
Preferred skills
Containerization (Docker/Kubernetes), CI/CD pipelines, Model monitoring, Bias mitigation, Enterprise data pipeline integration
Technologies
OpenAI, AWS Bedrock, SageMaker, Lambda, Faiss, Pinecone, PyTorch, TensorFlow, Hugging Face Transformers, LangChain, Git, GitHub Actions, Jenkins
Responsibilities
Design and optimize GenAI/AI-driven solutions and autonomous workflows; Lead implementation and governance of AI models in CI/CD pipelines; Mentor junior AI engineers; Evaluate and pilot new AI technologies; Collaborate with cross-functional teams to translate business requirements into scalable solutions; Monitor model performance and implement retraining; Ensure governance, risk, and compliance integration
Seniority
Senior, hands-on IC with mentorship responsibilities
