AI Specialist

About the role

This role focuses on the early stages of a new AI product, AgentControl. You will be a key technical voice, guiding customers and shaping product direction. It's a chance to build foundational elements for a product that will redefine how AI agents are managed.

Key facts

What you'll do

• Provide expert-level technical guidance on AI applications and the AgentControl product to potential and current customers.
• Drive the initial adoption and implementation of AgentControl, gathering feedback to prevent customer churn and inform product improvements.
• Develop and document best practices and frameworks for Solutions Engineering that can be scaled across the organization.
• Collaborate with product and engineering teams to ensure technical feasibility and alignment with company strategy.
• Create technical content, integrations, and demonstrations to showcase the product's capabilities.
• Act as a technical liaison for potential strategic partners in the AI space.
• Represent AgentControl at industry events and webinars.

Requirements

• Minimum of 12 years of experience in AI applications, including building, implementing, or selling AI solutions.
• Experience building multi-agent systems using frameworks such as LangGraph, AgentBuilder, or AgentCore.
• Hands-on experience evaluating AI agent performance at scale using automated methods.
• A deep understanding of Large Language Model mechanics, including transformer architecture.
• Experience building or interacting with MCP (Model Context Protocol) servers.
• Strong proficiency in Python, with experience in PyTorch or TensorFlow.
• Solid foundation in software engineering principles and current market trends.
• Ability to anticipate future trends in the AI landscape and position products accordingly.
• A curious and adaptable mindset, comfortable working in undefined areas and building new processes.
• Excellent communication skills, with the ability to craft compelling narratives for technical audiences.

Nice to have

• Experience with building or interfacing with MCP (Model Context Protocol) servers.

Skills & tools

• Python
• PyTorch
• TensorFlow
• LangGraph
• AgentBuilder
• AgentCore
• LLMs
• Transformer Architecture
• MCP (Model Context Protocol)

Practical notes

• Salary ranges:
• Zone 1 (San Francisco/Bay Area, NYC Metro, Boston, Seattle): $214,800 - $295,350
• Zone 2 (Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago): $193,400 - $265,870
• Zone 3 (All other US locations): $182,600 - $251,020
• Benefits include Restricted Stock Units (RSUs), health, vision, dental insurance, and mental health support.
• Applications are open now.