AI-First Developer / Builder (Python & Full-Stack) at GenLayer Labs Corp.

Barcelona, Catalonia, Spain -

Full Time

Start Date

Immediate

Expiry Date

12 Jun, 26

Salary

0.0

Posted On

14 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python Development, API Development, Backend Systems, Full-Stack Development, React, Node, LLMs, AI APIs, AI Tooling, LangChain, Vector Databases, RAG, Agents, Prototyping, AI-Assisted Coding

Industry

technology;Information and Internet

Description

GenLayer Labs – Barcelona (Hybrid) About GenLayer Labs GenLayer Labs is a decentralized AI research collective building the trust infrastructure for the AI Age. We are the developers of GenLayer—an open, AI-driven Court of the Internet—a synthetic jurisdiction where autonomous agents and protocols can reason, transact, and govern at machine speed with sovereignty, transparency, and trust. Our infrastructure enables autonomous agents and smart contracts to access live web data, interpret natural language, and resolve disputes using AI consensus. Backed by Maelstrom (Arthur Hayes), Arrington Capital, and North Island Ventures, we’re defining a new category of decentralized infrastructure: trustless decision-making for the AI age. Role overview We are hiring an AI-First Developer / Builder to work on prototypes, tools, and internal systems that push the boundaries of what intelligent contracts and AI-enabled infrastructure can do. You will collaborate closely with a small technical team and work in a highly AI-assisted development environment, using tools like Claude Code, OpenClaw and other agent-based workflows to accelerate exploration and development. This role is ideal for someone who: enjoys building quickly. is comfortable with ambiguity and experimentation. uses AI agents as part of their daily workflow. wants to work on cutting-edge AI + blockchain infrastructure. What you’ll do Build AI-driven tools, prototypes, and internal systems. Develop Python backends and APIs for AI-powered features. Work with LLMs, agents, and RAG pipelines. Prototype AI-assisted developer workflows. Experiment with new AI capabilities for intelligent contracts. Design small full-stack applications (backend + simple frontend). Use AI copilots and agents extensively in development. Collaborate closely with a small team to rapidly test and iterate on ideas. What we’re looking for We care much more about how you build than how many years of experience you have. Strong candidates typically have: Core skills Strong Python development. Experience building APIs or backend systems. Comfortable with modern full-stack development (React, Node, etc. is a plus). Experience with LLMs, AI APIs, or AI tooling. Familiarity with LangChain, vector databases, RAG, or agents is a plus. Mindset Builder mentality -- you like shipping things. Comfortable working with AI-assisted coding tools. Curious and experimental. Able to work autonomously in a fast-moving environment. Comfortable working with uncertain or evolving specifications. Nice to have Experience with crypto, blockchain, or smart contracts Experience with Docker, cloud infrastructure, or CI/CD Familiarity with data pipelines or document processing Location Hybrid role based in Barcelona. We work mostly remotely but value regular in-person collaboration. Total rewards package including competitive salary,equity package, and benefits. Flexible and remote work environment. Opportunity to build the marketing function for a VC-backed start-up at the intersection of blockchain and AI Professional development and growth opportunities. Be a part of a dynamic and innovative team that is shaping the future of decentralized applications Join GenLayer Labs and be a part of a team that is pushing the boundaries of what is possible with AI and blockchain technology.

Responsibilities

The developer will build AI-driven tools, prototypes, and internal systems, focusing on developing Python backends and APIs for AI-powered features while working extensively with LLMs, agents, and RAG pipelines. They will also prototype AI-assisted developer workflows and design small full-stack applications.