We are looking for a Backend Engineer, AI Agents with strong expertise in Python, distributed backend systems, and autonomous agent infrastructure. You will play a key role in building the Traia.io AI Agent runtime, enabling AI agents to collaborate, execute workflows, interact with tools, and operate securely at scale.
This role is focused on AI agents infrastructure and orchestration systems.
Key Responsibilities
* Architect and build the backend infrastructure powering the Traia.io AI Agent runtime.
* Develop and maintain multi-agent orchestration systems and autonomous workflows.
* Build infrastructure for agent runtimes, tool execution, memory systems, and task coordination.
* Integrate MCP servers, tools, skills, and external execution environments.
* Design secure deployment architectures for AI agents, including sandboxing and containerized runtimes.
* Build scalable APIs, queues, event-driven systems, and real-time communication layers.
* Collaborate with AI engineers and infrastructure teams to shape next-generation autonomous systems.
* Strong backend engineering experience with Python.
* Experience building AI agents, autonomous workflows, orchestration systems, or multi-agent architectures.
* Familiarity with agent runtimes such as OpenClaw, Hermes, or similar frameworks is a strong advantage.
* Solid understanding of distributed systems, Docker, Kubernetes, and secure deployment architectures.
* Experience with MCP servers, tool calling systems, RAG pipelines, or AI-enhanced execution frameworks.
* Strong understanding of security, isolation, scalability, and performance tradeoffs in autonomous systems.
* Experience designing backend systems for task execution, workflow orchestration, or event-driven architectures.
Preferred Qualifications
* Web3 development experience, including blockchain integrations, wallets, smart contracts, or DeFi protocols.
* Experience with on-chain trading systems or autonomous execution agents.
* Familiarity with Safe wallets, EIP-712 signing, or account abstraction.
* Experience deploying isolated agent environments or sandboxed runtimes.
* Understanding of Kafka, NATS, or large-scale real-time infrastructure.
Since 2017 DcentraLab is creating an ecosystem of on-chain products designed to accelerate blockchain mass adoption, produce value, increase transparency, and lead the decentralized revolution. DcentraLab's created ChainPort, the most secure and only custodian bridge, is already one of the top 10 biggest in the space. and TokensFarm, the number one farm as a service platform.
