| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Web 3 Ventures | Remote |
| |||
Token Metrics | Medellín | $104k - $106k | |||
Boolean Labs | Remote | $150k - $200k | |||
Blockchains | Remote | $54k - $60k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Aldrin | Remote | $90k - $100k |
This job is closed
We're looking for a creative and technically skilled AI Agent Engineer to build next-gen AI-powered tools for our meme coin / DeFi project. If you have experience with LLMs, Telegram bots, and Web3 automation, we want you on our team.
Your mission:
- Develop AI-driven automation tools that enhance community engagement and hype.
- Build AI-powered chatbots for community support, engagement, and information delivery.
- Automate presale updates, milestone alerts, and interactive experiences.
- Integrate AI with Web3 data (wallet tracking, presale progress, referral leaderboards, etc.).
- Ensure real-time, human-like AI interactions that keep the community active 24/7.
🔧 Key Skills:
✅ Experience with LLMs (GPT, Claude, Mistral, fine-tuning models for crypto/memes)
✅ Strong background in NLP, AI chatbots, and community automation
✅ Experience building Telegram bots with real-time interaction
✅ Familiarity with Web3 tech (wallet tracking, blockchain data integration, smart contracts)
✅ Knowledge of crypto culture, meme marketing, and presale dynamics
What is prompt engineering?
Prompt engineering in AI refers to the process of creating and designing effective prompts or inputs for AI language models to generate human-like responses
Prompt engineering is an important technique for improving the quality and relevance of AI-generated outputs, particularly in natural language processing (NLP) tasks such as language translation, text summarization, and question-answering
Prompt engineers in AI are responsible for designing and implementing prompt systems that can generate high-quality outputs
They use a range of techniques such as machine learning, natural language processing, and data analysis to develop and improve prompts that are contextually relevant and effective
Prompt engineers work closely with other AI experts such as machine learning engineers, data scientists, and NLP specialists to ensure that the prompt systems are optimized for accuracy and efficiency
In addition to designing prompts, prompt engineers in AI also analyze and evaluate the performance of prompt systems, using metrics such as accuracy, fluency, and relevance
They use this information to refine and improve the prompt systems over time, ensuring that the AI-generated outputs remain accurate, relevant, and useful for end-users.