Found&Chosen

AI Platform Engineer – GTM Intelli, LLM, DevOps, GTM Systems

Found&Chosen

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇮🇳 India

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudFirebaseGoogle Cloud PlatformJavaScriptNext.jsNode.jsPythonReact

About the role

  • You will own the architecture, design, and operational deployment of GTM Intelli’s AI Platform.
  • 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.
  • 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.
  • 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

  • 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
  • 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI architectureML architectureenterprise systems designfull-stack platform engineeringAI/LLM applications deploymentNode.jsPythonReactNext.jsDevOps practices
Soft skills
leadershipmentoringsystem thinkingcollaborationproblem-solving
Certifications
SOC 2GDPRISO
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