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Emerging Tech

AI + Web3 Integration Engineer

Builds decentralized AI agents, smart contract bridges for machine learning models, and decentralized compute pipelines.

Level: SeniorMode: High-code#AI#LLM#Web3#Bittensor

Next action

Build your Web3 proof-of-work. Start contributing and prepare for interviews based on real scenarios.

Lane Type
Emerging Tech
Seniority Level
Senior
Execution Mode
High-code

1. Role Overview

At the cutting edge of AI and blockchain convergence, you connect LLMs and machine learning pipelines with smart contracts and decentralized compute networks like Bittensor or Akash.

2. Daily Work

What you will actually do most weeks

Developing autonomous AI agents capable of executing on-chain transactions and managing crypto treasuries
Integrating machine learning inference outputs into smart contract verification flows (Oracle/ZKML)
Building APIs and interfaces connecting decentralized AI networks (Bittensor subnets, Fetch.ai)
Optimizing decentralized compute resource allocation and model training workflows

Expected Outputs & Deliverables

Autonomous on-chain AI agent architectures
ZKML (Zero-Knowledge Machine Learning) verification pipelines
Decentralized AI application frontends and backends

3. Skills & Tools

Must-Have Skills

Mastery of Python, TypeScript, and Solidity
Deep understanding of LLM orchestration frameworks (LangChain, LlamaIndex) and machine learning fundamentals
Familiarity with decentralized AI protocols and cryptographic verification of ML models

Ecosystem Tools

PythonLangChainSolidityPyTorchDocker

4. Proof-of-Work & Prep

Actionable Proof-of-Work

GitHub repositories featuring autonomous AI agents interacting with EVM testnets

Self-Study Prep

  • Study how Zero-Knowledge Machine Learning (ZKML) and decentralized inference networks operate

5. Apply & Interview

Application Strategy

Build an open-source AI agent that interacts with decentralized finance protocols and share it on GitHub

Interview Prompts

"How do you securely verify that an off-chain AI model inference was executed correctly inside a smart contract using ZKML?"

6. Guide Roadmap

Step 1

AI & Python Mastery

Master machine learning basics and LLM orchestration.

Step 2

Smart Contract Integration

Learn how to connect AI agents with Web3 wallets and contracts.

Step 3

Decentralized AI Protocols

Explore Bittensor, Akash, and ZKML frameworks.

Step 4

AI-Web3 Career Placement

Apply to emerging decentralized AI startups.