AI Engineer - (Agentic AI & LLM)
Core
Develop and deploy AI-native applications using Large Language Models, designing agentic workflows, RAG pipelines, and integrating AI capabilities into enterprise systems.
Role type
Senior IC AI Engineer (Agentic AI & LLM)
Builds
AI-native applications, agentic workflows, RAG pipelines, and scalable APIs for enterprise systems
Domain
Generative AI, Agentic AI, Enterprise Software
Deliverable
production ML models | product features
Required skills
LLM development, agentic workflow design, RAG pipeline construction, vector database management, API development, cloud-native application design, AI governance implementation, automated testing frameworks, performance monitoring
Preferred skills
Multi-agent system orchestration, prompt engineering, AI observability, MLOps, CI/CD, regulated-industry AI solutions
Technologies
LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, Azure, AWS, Google Cloud Platform, OpenAI, Azure OpenAI, Anthropic, Gemini
Responsibilities
Design agentic workflows and orchestration frameworks; Build and optimize RAG pipelines; Integrate AI capabilities into enterprise applications; Implement responsible AI practices and safety controls; Create evaluation and monitoring frameworks; Collaborate with architects, data scientists, and business stakeholders
Seniority
Senior, hands-on IC