Job Position | Company | Posted | Location | Salary | Tags |
---|---|---|---|---|---|
Almanak | Remote | $72k - $148k | |||
visa | Singapore, Singapore | $91k - $112k | |||
Tether | Madrid, Spain | $122k - $144k | |||
Whatnot | New York, NY, United States | $180k - $285k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Exodus54 | Remote | $165k - $245k | |||
Bitmex | Remote | $105k - $110k | |||
Tether | Dublin, Ireland | $115k - $138k | |||
Tether | Dubai, United Arab Emirates | $115k - $138k | |||
Tether | Sao Paulo, Brazil | $115k - $138k | |||
Tether | TI Lugano CH | $115k - $138k | |||
Tether | Bangalore, India | $115k - $138k | |||
Tether | Barcelona, Spain | $115k - $138k | |||
Tether | London, United Kingdom | $115k - $138k | |||
blockville | Levazım, Koru Sok., 34340 BeÅiktaÅ/İstanbul, Türkiye | $76k - $90k | |||
Pulley | Remote | $190k - $255k |
Almanak is looking for a Python Software Engineer (Junior-Mid) to join the team to build AI Agents in DeFi.
Weāre a small, fast-moving AI team that builds production-grade AI Agents and ships them into the wild. If you spend your evenings turning custom tools into MCP servers or fine-tuning prompts while trying to figure out how evals can work in your project, you can also read an EVM transaction trace without breaking a sweatākeep reading.
What You'll Do
- Ship real agents: Design, implement, and benchmark Python-based AI agents end-to-end: planning loops, memory & vector stores, tool orchestration, eval harnesses, deployment.
- Decode blockchains: Parse raw transaction data, trace smart-contract calls, and surface actionable insights why the AI generated code or action failed on-chain.
- Stay ahead of the curve: Run rapid experiments with new models (Gemini, Anthropic, OpenAI, etc.), frameworks (LangGraph, OpenAI SDK, Pydantic AI), and inference runtimes. Present findings to the team and turn the best ideas into product features.
- Own code quality: Write clean, testable Python (type hints, pytest, CI). Review PRs, document decisions, and leave the codebase better than you found it.
- Python fluency: Not your first rodeo. And you can prove it. You also understand the limitation of Vibe Coding. How to leverage it. When you beware of the danger.
- Agent-building chops: Youāve coded at least one autonomous agent yourselfāno step-by-step ChatGPT babysitting. (First interview round = build an agent live.)
- Crypto understanding: Comfortable with topics like transactions, nonces, gas mechanics, ERC-20 events, protocols, smart contracts, etc. Not the ability to talk about it at a dinner, but the ability to go down the rabbit hole and get your hands dirty. (Second interview round = dissect a raw tx.)
- Up-to-date mindset: You follow the latest news, best practices and stay up to date with the latest framework. Things are moving very quickly in this space! We need you to keep up naturally. Not because itās your job, but because you want to.
- Growth attitude: You like small teams, ambiguous problems, and shipping before the weekend.
Nice-to-Haves
- Prior experience at an AI-related or crypto-related startup, or quant shop.
- Meaningful OSS contributions in AI/ML, agent frameworks, blockchain analytics, or Python libraries (link them!).
- Compensation:Youāll receive competitive compensation, consisting of either fiat/crypto remuneration and an equity package in the core Almanak holding + bonuses.
- Flexible schedule & remote work:Youāll be able to work remotely and manage your own time. We want you to work from a place that makes you the happiest and contributes to your overall well-being.
- Co-working space, gear, and education budgets: The company will invest in your comfort at work and in your personal growth.
- Impact:Youāll work with some of the smartest people in the space and play a pivotal role in influencing the way some of the most popular crypto applications are built.
What an AI Developer does?
An AI developer is someone who creates and builds artificial intelligence systems
Their responsibilities may include designing and implementing algorithms, creating and training machine learning models, and deploying AI systems to solve practical problems
Additionally, they may be responsible for maintaining and improving existing AI systems, as well as collaborating with other teams or individuals to integrate AI technology into larger systems.