AI Platform Engineer - GTM Intelli (LLM, DevOps, GTM Systems)

About GTM Intelli

At GTM Intelli, we’re redefining how enterprises manage their Go-to-Market operations. Our platform leverages AI-powered agents to optimize sales, marketing, and customer success workflows at scale.

We are building next-generation AI solutions that enable enterprise teams to execute smarter, faster, and with greater precision:

GTMCommandCenter – Unified GTM orchestration platform with intelligent agents managing CRM, spend analysis, and tactical execution.

All of our products are built with a reusable AI framework designed for scalability, security, and enterprise compliance. We are now seeking a senior AI Platform Engineer to take these platforms from prototype to production-ready, enterprise-grade deployments.

Your Mission

You will own the architecture, design, and operational deployment of GTM Intelli’s AI Platform. This role requires both strategic thinking and hands-on execution — designing scalable AI systems, integrating LLMs, enforcing security, and operationalizing production-level AI workflows for thousands of concurrent agents.

Key Responsibilities

Architect & Design

• Define the technical architecture for GTM Intelli’s AI platform, including agent orchestration, LLM integrations, and secure data flows.
• Translate GTM strategy into modular AI agent designs that scale across products and enterprise clients.
• Evaluate and integrate LLM providers (OpenAI, Gemini, Claude, Knapsack, etc.) based on performance, cost, and data sensitivity.
• Establish standards for API usage, orchestration logic, HITL workflows, and decisioning frameworks.
• Ensure compliance with SOC 2, GDPR, ISO, and other enterprise regulations.
  

Build & Deploy

• Audit and optimize existing prototypes, defining the fastest and most reliable path to production.
• Architect and deploy secure, scalable infrastructure using GCP, Firebase, and hybrid cloud solutions.
• Containerize, migrate, and operationalize platforms with CI/CD pipelines, and autoscaling.
• Implement large-scale AI agent execution (1,000+ concurrent processes) with memory, goal logic, and guardrails.
• Integrate third-party systems: Stripe, Twilio, SendGrid, Salesforce, HubSpot, Calendly, Terminus, SalesLoft, and others.
• Manage authentication, RBAC, secrets management, and multi-tenant data isolation.

Collaborate & Lead

• Work closely with leadership and engineering teams to shape the platform’s evolution.
• Establish best practices for monitoring, logging, observability, and reliability.
• Mentor and help grow a team of AI engineers and DevOps specialists over time.

Requirements

Required Qualifications

• 4+ years in AI/ML architecture, enterprise systems design, or full-stack platform engineering.
• Proven experience deploying AI/LLM applications at scale (LangChain, Claude, GPT, etc.).
• Expert-level experience with Firebase and migrating prototypes to production.
• Strong expertise in cloud platforms (GCP, AWS, or Azure) and DevOps practices.
• Hands-on experience with GTM/CRM tools (Salesforce, HubSpot, Terminus, SalesLoft).
• Solid development background: Node.js, Python, React/Next.js, modern front-end/backend frameworks.
• Strong understanding of security and compliance (auth flows, encryption, RBAC, abuse prevention).
• Ability to think in systems and platforms, not just individual apps.
  

Bonus Points

• Experience orchestrating 100+ concurrent agents or processes in production.
• Hands-on experience with real-time messaging, call flows, or voice agents.
• Background in AI-native startups or labs.
• Passion for building tools that redefine enterprise GTM operations.

Benefits

Why GTM Intelli

This is your opportunity to lead the design and implementation of the next-generation AI GTM platform. You’ll work with a high-performing team, cutting-edge LLM technology, and the freedom to innovate at enterprise scale.