CloudPSO

Blockchain Engineer

• Design and develop Solidity smart contracts for reward distribution, airdrop claim systems, referral and staking logic, and wallet eligibility verification
• Implement secure claim mechanisms using Merkle proof systems, signature-based validation, and role-based permissions
• Optimize contracts for gas efficiency, scalability, and security
• Integrate contracts with backend services and event-driven systems
• Collaborate with backend and frontend teams on wallet flows and transaction logic
• Conduct internal contract reviews and contribute to security best practices
• Participate in architecture discussions for multi-chain infrastructure

Blockchain Developer

AI Engineer

• Design and build autonomous or semi-autonomous AI agents that can plan, reason, and interact with tools, APIs, or external systems
• Implement agentic frameworks such as LangChain, LlamaIndex, CrewAI, or custom orchestration systems
• Leverage existing industry capabilities to deliver virtual assistant capabilities on top of xquic content, including voice interactions
• Optimize reasoning and retrieval pipelines using embeddings, vector databases, and prompt engineering
• Develop, train, and fine-tune ML models
• Perform data preprocessing, feature engineering, and model evaluation for NLP, computer vision, or predictive tasks
• Build ML pipelines for training, deployment, and monitoring in production environments
• Collaborate with engineering teams to integrate AI components into backend systems and APIs
• Maintain scalable, maintainable codebases with CI/CD, observability, and cloud-native design
• Contribute to technical architecture and design reviews for AI-driven features and platforms
• Stay current with LLMs, agent frameworks, and model architectures
• Prototype and evaluate approaches for reasoning, tool use, and adaptive agent behavior
• Share learnings and mentor peers in ML and AI development best practices

Senior Software Engineer – AI/ML

DevOps Engineer

• Own, secure, and scale our infrastructure and deployment pipelines.
• Embed security into our CI/CD workflows and manage vulnerabilities.
• Ensure our financial trading systems are resilient, compliant, and highly available.
• Design, maintain, and harden CI/CD pipelines across our delivery lifecycle.
• Integrate automated security testing tools directly into development workflows.
• Lead end-to-end vulnerability management, including triage and remediation tracking.
• Audit existing infrastructure and deployment workflows to identify gaps, risks, or inefficiencies.
• Contribute to disaster recovery, business continuity, and robust change management processes.

DevSecOps Engineer

Machine Learning Engineer

• Design and fine-tune Large Language Model (LLM) pipelines
• Implement semantic query architectures for documentation
• Develop time-series forecasting models for supply chain
• Build classification and anomaly detection models
• Containerize models and deploy into secure environments
• Optimize model inference and monitoring systems

Senior Machine Learning Engineer

Backend Engineer

• Architect and develop frontend applications that allow end-users to interact seamlessly with AI agents.
• Design the backend orchestration layer that coordinates specialized AI workers.
• Build the full-stack "Data Access Layer" for AI agents to read/write to SAP and surface data via dynamic dashboards.
• Develop the backend logic to interface with Vector Databases and build frontend search components.
• Implement full-stack security measures, including Authentication and Role-Based Access Control.
• Engineer systems for strictly air-gapped or on-premise deployment, optimizing client-side bundles and backend resource usage.

Fullstack Developer, Python, React.js

Data Scientist

• Query and analyse large domain- or topic-specific data sets
• Design and fine-tune Large Language Models to parse complex regulatory texts
• Convert interpreted regulations into computer-processable formats
• Architect methods for LLMs to map natural language requirements
• Implement Retrieval-Augmented Generation pipelines
• Develop time-series forecasting models
• Build machine learning classifiers
• Design robust pipelines to extract and transform raw data
• Work with Back End Engineers to integrate AI models into a cohesive 'compliance engine'
• Streamline model performance

Senior Data Scientist

Business Development Rep

• Finding and reaching out to potential clients online.
• Use LinkedIn to find and connect with business owners, founders, and technical leaders.
• Start friendly professional conversations online by interacting with their posts and sending personalized messages.
• Hold short online meetings to listen to their problems and explain how Cloudpso saves clients 60% on technical services and 40% on compliance readiness.
• Stay in touch with people who are interested but not ready to buy yet by sending them Cloudpso case studies or useful updates.
• Work as a driven self-starter to track and meet daily goals, like how many new conversations you have and how many opportunities you create.