Generative AI Engineer
Core
Build and deploy Generative AI solutions (semantic search, RAG, agents, fine-tuning) for enterprise clients using LLMs and orchestration frameworks.
Role type
Senior Generative AI Engineer (Consulting)
Builds
Bespoke GenAI applications, RAG pipelines, autonomous agents, and MLOps infrastructure for clients.
Domain
Generative AI, Large Language Models, Enterprise Consulting
Deliverable
production ML models | product features
Required skills
Python, LLM orchestration (LangChain, LlamaIndex), RAG pipelines, vector databases, MLOps, prompt engineering, cloud deployment (AWS/GCP/Azure), model fine-tuning (PEFT, LoRA)
Preferred skills
Multimodal AI development, agent flows, benchmarking open-source vs commercial models
Technologies
LangChain, LlamaIndex, Pinecone, FAISS, pgvector, ChromaDB, Qdrant, Milvus, Weaviate, FastAPI, SageMaker, Bedrock, Vertex AI, PyTorch, Hugging Face
Responsibilities
Build LLM-powered applications, implement RAG pipelines, develop multimodal AI and autonomous agents, drive MLOps excellence, design prompt templates, deploy models on cloud platforms, ensure security and compliance, integrate solutions into microservices, benchmark LLMs, evaluate fine-tuning strategies, support PoCs and rollouts, document best practices.
Seniority
Senior, hands-on IC