DcentraLab

Backend Engineer

• Lead backend development: Drive feature design, architecture decisions, and technical roadmap for the platform
• Research & Development (R&D): Experiment with new technologies, AI models, and scraping methods to continuously improve data quality and system performance
• Web scraping & data pipelines: Design and maintain robust scraping systems using Python libraries (e.g., Scrapy, Requests, BeautifulSoup, Playwright)
• Database management: Optimize and maintain PostgreSQL (with Alembic/Alchemy) and MongoDB (vector search/embeddings)
• AI & agent integration: Work with LLMs (ChatGPT, Perplexity) and CrewAI to build and scale AI-driven features
• DevOps & infrastructure: Manage AWS services (S3, EC2, Lambda, CloudWatch, API Gateway, SageMaker) and automation (Bash scripting, cron jobs)
• Blockchain expertise: Analyze and interact with smart contracts (Solidity – entry level), understand blockchain data structures, and integrate relevant protocols
• Team leadership: Mentor developers, perform code reviews, enforce best practices, and ensure high-quality deliverables
• Integration management: Oversee and expand integrations with 3rd-party APIs and services (TalkJS, Slack, Twitter, Apollo, etc.)

Lead Backend Developer

• Architect and implement the Traia.io AI Agent Marketplace backend and deployment infrastructure.
• Build and maintain multi-agent workflows: utility agents, solver agents, settlement agents, etc.
• Integrate MCP servers, A2A protocols, and on-chain execution environments.
• Develop secure agent deployment principles (sandboxing, containerization, notarization).
• Implement DeFi trading strategies through on-chain agent logic and Web3 integrations.
• Work with zk-systems and TLS notarizations to enable verifiable execution and trust guarantees.
• Collaborate with researchers, smart contract engineers, and AI experts to shape AI-on-chain standards.

AI Web3 Backend Engineer – AI Agent Economy

• Architect and implement the Traia.io AI Agent Marketplace backend and deployment infrastructure.
• Build and maintain multi-agent workflows : utility agents, solver agents, settlement agents, etc.
• Integrate MCP servers , A2A protocols, and on-chain execution environments.
• Develop secure agent deployment principles (sandboxing, containerization, notarization).
• Implement DeFi trading strategies through on-chain agent logic and Web3 integrations.
• Work with zk-systems and TLS notarizations to enable verifiable execution and trust guarantees.
• Collaborate with researchers, smart contract engineers, and AI experts to shape AI-on-chain standards.

AI Backend Engineer – AI Agent Economy

Blockchain Engineer

• Design and implement core blockchain protocols with zkVM integration for verifiable AI agent execution
• Define smart-contract standards and on-chain agent interfaces (analogous to EVM ABIs)
• Build and optimize high-throughput, low-latency node software in Rust
• Architect P2P networking, consensus mechanisms, and state synchronization tailored for AI workloads
• Develop and audit smart contracts for agent registration, staking, and on-chain governance
• Integrate multi-agent orchestration frameworks (e.g., CrewAI, MCP) into the blockchain runtime
• Create backend services and APIs (REST/GraphQL) to interact with nodes and agents
• Implement monitoring, observability, and analytics pipelines to track chain and agent performance
• Partner with AI engineers to optimize gas models, transaction batching, and resource metering for agentic use cases
• Research emerging Web3 and zero-knowledge technologies to keep our stack cutting-edge.

Blockchain, AI Infrastructure Engineer

• Design and implement core blockchain protocols with zkVM integration for verifiable AI agent execution
• Define smart-contract standards and on-chain agent interfaces
• Build and optimize high-throughput, low-latency node software in Rust
• Architect P2P networking, consensus mechanisms, and state synchronization tailored for AI workloads
• Develop and audit smart contracts for agent registration, staking, and on-chain governance
• Create backend services and APIs (REST/GraphQL) to interact with nodes and agents
• Implement monitoring, observability, and analytics pipelines to track chain and agent performance
• Partner with AI engineers to optimize gas models, transaction batching, and resource metering for agentic use cases
• Research emerging Web3 and zero-knowledge technologies to keep our stack cutting-edge

Blockchain Engineer, AI Infrastructure

• Design and implement algorithms to maximise output of blockchain trading systems (Python, Lambdas)
• Build smart contracts that automate trading and bridging strategies (Solidity, APIs)
• Build a highly efficient infrastructure for scalable deployments and CICD processes (GitLab CI, ECS, Cloudformation, Lambdas)
• Manage and develop the serverless backend (Node.js, Python, Lambdas, API Gateway)
• Manage and develop monitoring and alert solutions for our apps and services (Python, Slack)
• Manage and develop scalable blockchain backend and infrastructure, utilizing k8s, docker etc
• Manage and develop testing solutions for the backend functions added (Pytest)
• Manage and develop highly scalable, highly available infrastructure for data engineering, data analytics, and big-data platforms and infrastructure utilizing Kinesis, Kafka, spark, Hadoop, Postgres, MongoDB etc

Senior Algorithm, Backend Engineer

• Design and implement algorithms to maximise output of blockchain trading systems (Python, Lambdas)
• Build smart contracts that automate trading and bridging strategies (Solidity, APIs)
• Build a highly efficient infrastructure for scalable deployments and CICD processes (GitLab CI, ECS, Cloudformation, Lambdas)
• Manage and develop the serverless backend (Node.js, Python, Lambdas, API Gateway)
• Manage and develop monitoring and alert solutions for our apps and services (Python, Slack)
• Manage and develop scalable blockchain backend and infrastructure, utilizing k8s, docker etc ...
• Manage and develop testing solutions for the backend functions added (Pytest)
• Manage and develop highly scalable, highly available infrastructure for data engineering, data analytics, and big-data platforms and infrastructure utilizing Kinesis, Kafka, spark, Hadoop, Postgres, MongoDB etc..

• Lead backend development : Drive feature design, architecture decisions, and technical roadmap for the platform.
• Research & Development (R&D) : Experiment with new technologies, AI models, and scraping methods to continuously improve data quality and system performance.
• Web scraping & data pipelines : Design and maintain robust scraping systems using Python libraries (e.g., Scrapy, Requests, BeautifulSoup, Playwright).
• Database management : Optimize and maintain PostgreSQL (with Alembic/Alchemy) and MongoDB (vector search/embeddings).
• AI & agent integration : Work with LLMs (ChatGPT, Perplexity) and CrewAI to build and scale AI-driven features.
• DevOps & infrastructure : Manage AWS services (S3, EC2, Lambda, CloudWatch, API Gateway, SageMaker) and automation (Bash scripting, cron jobs).
• Blockchain expertise : Analyze and interact with smart contracts (Solidity – entry level), understand blockchain data structures, and integrate relevant protocols.
• Team leadership : Mentor developers, perform code reviews, enforce best practices, and ensure high-quality deliverables.
• Integration management : Oversee and expand integrations with 3rd-party APIs and services (TalkJS, Slack, Twitter, Apollo, etc.).

• Lead backend development: Drive feature design, architecture decisions, and technical roadmap for the platform.
• Research & Development (R&D): Experiment with new technologies, AI models, and scraping methods to continuously improve data quality and system performance.
• Web scraping & data pipelines: Design and maintain robust scraping systems using Python libraries (e.g., Scrapy, Requests, BeautifulSoup, Playwright).
• Database management: Optimize and maintain PostgreSQL (with Alembic/Alchemy) and MongoDB (vector search/embeddings).
• AI & agent integration: Work with LLMs (ChatGPT, Perplexity) and CrewAI to build and scale AI-driven features.
• DevOps & infrastructure: Manage AWS services (S3, EC2, Lambda, CloudWatch, API Gateway, SageMaker) and automation (Bash scripting, cron jobs).
• Blockchain expertise: Analyze and interact with smart contracts (Solidity – entry level), understand blockchain data structures, and integrate relevant protocols.
• Team leadership: Mentor developers, perform code reviews, enforce best practices, and ensure high-quality deliverables.
• Integration management: Oversee and expand integrations with 3rd-party APIs and services (TalkJS, Slack, Twitter, Apollo, etc.).

• We are looking for a AI Web3 Backend Engineer with deep expertise in DeFi protocols , backend engineering , and agentic architectures .
• You will play a pivotal role in designing and building the marketplace of AI agents , enabling them to collaborate, execute multi-agent workflows, and securely manage funds on-chain.
• Architect and implement the Traia.io AI Agent Marketplace backend and deployment infrastructure.
• Build and maintain multi-agent workflows : utility agents, solver agents, settlement agents, etc.
• Integrate MCP servers , A2A protocols, and on-chain execution environments.
• Develop secure agent deployment principles (sandboxing, containerization, notarization).
• Implement DeFi trading strategies through on-chain agent logic and Web3 integrations.
• Work with zk-systems and TLS notarizations to enable verifiable execution and trust guarantees.
• Collaborate with researchers, smart contract engineers, and AI experts to shape AI-on-chain standards .

AI Web3 Backend Engineer, AI Agent Economy

• We are looking for a AI Web3 Backend Engineer with deep expertise in DeFi protocols , backend engineering , and agentic architectures .
• Architect and implement the Traia.io AI Agent Marketplace backend and deployment infrastructure.
• Build and maintain multi-agent workflows : utility agents, solver agents, settlement agents, etc.
• Integrate MCP servers , A2A protocols, and on-chain execution environments.
• Develop secure agent deployment principles (sandboxing, containerization, notarization).
• Implement DeFi trading strategies through on-chain agent logic and Web3 integrations.
• Work with zk-systems and TLS notarizations to enable verifiable execution and trust guarantees.
• Collaborate with researchers, smart contract engineers, and AI experts to shape AI-on-chain standards .