Senior AI Engineer
Core
Design, build, and deploy generative AI applications using RAG, agents, and multi-agent systems from prototype to production.
Role type
Senior IC generative AI engineer
Builds
Scalable generative AI applications and components
Domain
Generative AI, Software Engineering, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, software design principles, GenAI frameworks (LangChain, LlamaIndex, Semantic Kernel), agentic frameworks (PydanticAI, LangGraph, AutoGen2), RAG pipelines, vector databases (FAISS, Pinecone, Weaviate), cloud deployment (AWS, Azure, GCP), Docker, CI/CD, LLMOps, observability tools, ML/NLP frameworks (PyTorch, Hugging Face Transformers)
Preferred skills
None stated
Technologies
LangChain, LlamaIndex, Semantic Kernel, PydanticAI, LangGraph, AutoGen2, FAISS, Pinecone, Weaviate, AWS, Azure, GCP, Docker, Langfuse, PromptLayer, OpenTelemetry, PyTorch, Hugging Face Transformers
Responsibilities
Design and implement AI-powered components and workflows; Evaluate deployment options across cloud providers; Optimize generative AI applications for accuracy, performance, and cost; Mentor junior engineers and share technical knowledge; Review code and provide constructive feedback to peers
Seniority
Senior, hands-on IC