AI Lead Engineer
Employment Information
Job Description
Lead AI Engineer developing advanced agentic workflows and LLM systems for a generative AI company. Spearheading AI/ML solutions at enterprise scale and collaborating with product teams.
Responsibilities:
- Design and build agentic workflows leveraging modern frameworks.
- Develop robust LLM evaluation, tracing, and prompt ops pipelines.
- Lead MCP (Model Context Protocol) based system integrations.
- Deploy and scale AI/ML solutions with enterprise-grade reliability.
- Collaborate with product and engineering teams to deliver high-impact solutions.
Requirements:
- Proficiency with LangChain, LlamaIndex, or similar agentic frameworks.
- Hands-on experience with LLM evaluation platforms (e.g., Langsmith, Arize, DeepEval).
- Strong background in prompt engineering and prompt operations.
- Expertise in deploying and managing AI/ML models in production environments.
- Solid programming skills in Python and relevant AI/ML libraries.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving and communication skills.
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