Dec 15, 2025
06:47 PM

7 AI Jobs That Didn't Exist Last Year (And The Tools They Actually Use)

GTM Engineer. Context Engineer. Agent Engineer. These roles didn't exist 12 months ago. Here's what they do and the complete tech stack for each one in 2026.

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Ghita El Haitmy

Software Engineer @ techbible.ai

7 AI Jobs That Didn't Exist Last Year (And The Tools They Actually Use)

1. GTM Engineer (Go-to-Market Engineer)

Builds AI-powered go-to-market systems. Automates outbound sales, lead scoring, personalization, and growth experiments. Sits between sales, growth, and engineering teams.

Essential Tech Stack:

  • Clay - Automate lead enrichment and personalized outreach to accelerate sales pipelines
  • Apollo.io - Unlock business growth with targeted outreach and lead generation
  • Exa - Search engine designed to provide AI applications with precise, real-time web data
  • Perplexity - AI-powered conversational search engine that answers questions with context-relevant results
  • HeyReach - Reach and engage potential leads at scale
  • Instantly - Sales enablement platform that automates and scales personalized email outreach campaigns

2. Context Engineer (AI Memory & Retrieval Specialist)

Designs memory systems and retrieval architecture. Decides what the AI model sees, when, and why. Ensures consistent outputs across tools and teams.

Essential Tech Stack:

  • Mem0 - AI-powered smart note-taking app that organizes ideas, summarizes content, and syncs across devices
  • Tonic AI - Generate realistic, privacy-safe synthetic data for software testing and AI model development
  • Unsloth - Fine-tune and train large language models efficiently
  • Autoblocks AI - Collaborative platform for testing, evaluating, and improving GenAI applications

3. AI Content Engineer (AI-Powered Content Systems Developer)

Transforms AI models into repeatable content production machines. Builds prompts and workflows for blogs, short-form content, landing pages, and newsletters.

Essential Tech Stack:

  • Fal.ai - Generative AI platform providing access to open-source models for creating images, video, audio via unified API
  • ElevenLabs - AI text-to-speech and voice generation tool that converts text into realistic, expressive narrated audio
  • VEO3 - AI-powered text-to-video model generating high-quality videos with synchronized audio
  • Runway ML - AI-powered tools for video creation and editing
  • Hunch - Workspace integrating top AI models to boost team productivity
  • Notion - All-in-one workspace for notes, tasks, and collaboration

4. Model Ops Lead (AI Operations Manager)

Runs AI models in production environments. Handles model updates, latency optimization, cost management, and reliability across teams.

Essential Tech Stack:

  • Relace - Accelerate AI-driven code development with specialized models and infrastructure
  • GitButler - Streamline Git workflows with AI-powered virtual branching and intuitive commit management
  • Context7 - Integrate up-to-date, version-specific documentation into AI coding assistants for accurate code generation
  • E2B - Securely run AI-generated code in isolated cloud sandboxes

5. AI Experience Officer (AXO - AI UX Specialist)

Focuses on how people interact with AI systems in workplaces and products. Improves AI-powered workflows and user satisfaction.

Essential Tech Stack:

  • Runware - Unified API enabling developers to integrate cost-effective AI media generation into applications
  • OpenRouter - Customizable API access to popular AI models
  • PostHog - Open-source product analytics platform
  • Helicone - Unified API gateway and observability platform for managing and optimizing AI model deployments

6. AI Security Engineer (AI Safety & Governance Specialist)

Secures AI models and sensitive data. Manages access controls, monitors misuse, and prevents data leakage across internal and external systems.

Essential Tech Stack:

  • Nightfall AI - AI-native data loss prevention platform safeguarding sensitive data across cloud applications and AI tools
  • Port - Streamline development workflows with an internal developer portal tailored to your team's needs
  • Galileo - Ensure reliable AI agent performance with comprehensive observability and evaluation tools
  • Atla AI - Evaluation and observability layer for AI agents using judge-grade LLMs

7. Agent Engineer (AI Agent Developer)

Builds and maintains AI agents that work across departments. Connects tools, defines handoffs, and keeps agents aligned with business goals.

Essential Tech Stack:

  • Gumloop - AI-native, no-code workflow automation with visual flowcharts
  • Runloop - Enterprise-grade platform for building, testing, and deploying AI coding agents at scale
  • Mastra - TypeScript framework + cloud for building, observing, and orchestrating AI agents & workflows with unified APIs
  • Phidata - Build AI agents with memory, knowledge, and tools