GenAI Engineer | LLMs, NLP & AWS
Core
Design, develop, and deploy generative AI and NLP solutions on enterprise platforms, focusing on LLMs, RAG pipelines, and autonomous AI workflows.
Role type
Senior GenAI Engineer (LLMs & NLP)
Builds
Production-ready AI-powered solutions, autonomous AI workflows, and scalable model architectures.
Domain
Enterprise technology, Generative AI, Natural Language Processing, 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, Git
Preferred skills
Containerization (Docker/Kubernetes), CI/CD pipelines, Model monitoring and bias mitigation, Enterprise data pipeline integration, AI tooling for code generation
Technologies
OpenAI, AWS Bedrock, SageMaker, Lambda, Faiss, Pinecone, PyTorch, TensorFlow, Hugging Face Transformers, LangChain, SpaCy, Docker, Kubernetes, GitHub Actions, Jenkins, Vertex AI, Azure ML
Responsibilities
Lead design, development, and deployment of GenAI/AI-driven solutions; Mentor junior AI/ML/Data Science team members; Identify and pilot new AI technologies; Collaborate with cross-functional teams to translate business requirements; Ensure governance, risk, and compliance in AI initiatives; Monitor model performance and implement retraining; Maintain documentation on model architectures and pipelines
Seniority
Senior, hands-on IC with mentorship responsibilities
