Overview
A Principal AI Engineer leads the design, development, and deployment of advanced AI systems. This role blends deep technical expertise with strategic leadership to drive innovation across AI initiatives.
Key Responsibilities
Architect AI Solutions: Design scalable AI systems using frameworks like LangChain, LangGraph, or Strands.
Lead GenAI Projects: Build and optimize GenAI agents using RAG (Retrieval-Augmented Generation), knowledge graphs, and LLMs.
Mentor Teams: Guide junior engineers and foster a culture of learning and experimentation.
Collaborate Cross-Functionally: Work with product managers, data scientists, and stakeholders to align AI strategies with business goals.
Stay Ahead of Trends: Research emerging technologies and integrate best practices into development cycles.
Ensure Scalability & Reliability: Maintain high-performance AI platforms with robust data pipelines and cloud infrastructure.
Preferred Skills
Experience with multi-agent systems, reinforcement learning, and graph databases (e.g., Neo4j, Gremlin)
Familiarity with MLOps, AutoGPT, CrewAI, and OpenAI Function Calling
Contributions to open-source AI projects or publications in top-tier conferences
Key Responsibilities
Architect AI Solutions: Design scalable AI systems using frameworks like LangChain, LangGraph, or Strands.
Lead GenAI Projects: Build and optimize GenAI agents using RAG (Retrieval-Augmented Generation), knowledge graphs, and LLMs.
Mentor Teams: Guide junior engineers and foster a culture of learning and experimentation.
Collaborate Cross-Functionally: Work with product managers, data scientists, and stakeholders to align AI strategies with business goals.
Stay Ahead of Trends: Research emerging technologies and integrate best practices into development cycles.
Ensure Scalability & Reliability: Maintain high-performance AI platforms with robust data pipelines and cloud infrastructure.
Preferred Skills
Experience with multi-agent systems, reinforcement learning, and graph databases (e.g., Neo4j, Gremlin)
Familiarity with MLOps, AutoGPT, CrewAI, and OpenAI Function Calling
Contributions to open-source AI projects or publications in top-tier conferences
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