Generative AI Engineer
Core
Design and build scalable Generative AI solutions and applications for enterprise clients using LLMs, RAG, and autonomous agents.
Role type
Senior Generative AI Engineer (Consulting)
Builds
Bespoke GenAI applications, RAG pipelines, multimodal AI solutions, and autonomous agents for diverse industries.
Domain
Generative AI, Large Language Models, Enterprise Consulting
Deliverable
production ML models
Required skills
Python, LLM orchestration (LangChain, LlamaIndex), RAG pipelines, vector databases, cloud AI services (AWS/GCP/Azure), prompt engineering, MLOps, model fine-tuning (PEFT, LoRA)
Preferred skills
Multimodal AI development, autonomous agent design, microservices integration (FastAPI/Flask), benchmarking LLMs
Technologies
OpenAI, Claude, Mistral, Pinecone, FAISS, pgvector, ChromaDB, SageMaker, Bedrock, Vertex AI, PyTorch, Hugging Face
Responsibilities
Build LLM-powered applications, implement RAG pipelines, develop multimodal AI and agents, drive MLOps excellence, design prompt templates, deploy models on cloud platforms, ensure security and compliance, integrate solutions into microservices, benchmark models, evaluate fine-tuning strategies, support PoCs and rollouts, document best practices.
Seniority
Senior, hands-on IC