Lead AI Engineer

📋 Description

• Architect and implement production-ready AI solutions involving LLMs, transformer-based models
• Design and iterate on prompts, workflows, and RAG pipelines to improve accuracy, cost-efficiency
• Design and build multi-step agentic systems that break down complex tasks, invoke external tools or
• Deploy models and GenAI pipelines in production environments (API, batch, streaming), ensuring
• Build and maintain evaluation frameworks to measure model grounding, factuality, latency, and cost.
• Develop and integrate guardrails (e.g., prompt-injection protections, content moderation, output

🎯 Requirements

• 3+ years applied machine learning, with hands-on focus on NLP, transformers, or generative AI
• LLM and Agent Tools: Hands-on experience with LLM-related libraries (e.g., LangChain, LlamaIndex
• Agentic Systems: Experience designing multi-step agents that combine LLM reasoning with tool/API
• ML Foundations: Proven experience building and deploying machine learning models to production
• Coding: Fluency in Python, with clean, modular, production-grade code practices.
• Experimentation: Strong ability to design and analyze ML experiments; track performance using

🎁 Benefits

• Medical, dental, vision
• 401K
• PTO
• Paid holidays
• Commuter benefits
• Spending accounts