Python Developer - Multi-Agent Systems
NMKR provides multichain tokenization and NFT minting infrastructure for businesses, creators, developers, and brands. Its platform supports creating, managing, selling, and integrating NFTs, fungible tokens, and real-world assets.
Maintainer signals as of 8/14/2026
Funding history
Investors
About NMKR
NMKR operates a tokenization platform and agency offering NFT, fungible-token, and real-world-asset minting across Cardano, Bitcoin, Solana, Midnight, and Aptos. Its products include NMKR Studio, APIs, payment tools, and identity tooling, with services for no-code launches, developer integrations, fiat payments, token sales, and tailored corporate blockchain consulting. It serves businesses, brands, creators, and developers building tokenization projects.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You design and develop scalable multi-agent systems using Python and related frameworks. You implement communication protocols and coordination mechanisms, create agent behavior models and decision-making algorithms, optimize performance, develop testing frameworks, document architectures and interaction patterns, participate in code reviews, and contribute to research and development.
Requirements
- Strong understanding of multi-agent systems architecture and design patterns
- Advanced knowledge and experience in Python development
- Expertise in distributed systems and concurrent programming
- Experience with agent communication protocols
- Proficiency in SPADE, MESA, and AgentPy
- Strong knowledge of AI and machine learning concepts and frameworks
- Excellent problem-solving and analytical skills
- Strong communication and collaboration abilities
Responsibilities
- Design and develop scalable multi-agent systems using Python and related frameworks
- Implement communication protocols and coordination mechanisms between autonomous agents
- Create and maintain agent behavior models and decision-making algorithms
- Optimize agent performance and system resource utilization
- Develop testing frameworks for multi-agent interactions and system behavior
- Document system architecture, APIs, and agent interaction patterns
- Participate in code reviews and maintain high code quality standards
- Contribute to research and development of new agent-based solutions
Benefits
- Attractive token options on top of regular salary
- Remote work
- Flexible hours