GEN AI Engineer
Core
Design, develop, and deploy generative AI models and applications, specifically focusing on Large Language Models (LLMs) for enterprise solutions.
Role type
Generative AI Engineer
Builds
Intelligent systems leveraging generative AI capabilities for real-world applications
Domain
Enterprise AI / Large Language Models
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Hugging Face Transformers, LangChain, Large Language Models (LLMs), prompt engineering, fine-tuning, model evaluation, NLP, deep learning, transformer architectures, REST APIs
Preferred skills
Cloud Engineering (Azure, AWS), containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, data privacy, security, ethical AI, vector databases (FAISS, Pinecone), retrieval-augmented generation (RAG)
Technologies
GPT, LLaMA, Claude, Mistral, Azure, AWS, Docker, Kubernetes, FAISS, Pinecone
Responsibilities
Design, develop, and fine-tune Generative AI models using LLMs; Build scalable and efficient pipelines for training and deploying GenAI models; Integrate GenAI capabilities into enterprise applications and services; Collaborate with data scientists, ML engineers, and product teams to define use cases and deliver AI-powered solutions; Optimize model performance and ensure responsible AI practices; Maintain and improve existing GenAI systems and tools; Document processes, model architectures, and deployment strategies
Seniority
Mid-to-Senior, hands-on IC
