Position: AI Engineer Location: Hyderabad Employment Type: Full-Time About Zoniqx At Zoniqx, we are revolutionizing real-world asset (RWA) tokenization through cutting-edge technologies, including AI and blockchain. Our mission is to enable seamless, secure, and scalable tokenization solutions for global institutions. Join us in creating a future powered by blockchain and AI innovation. Role Overview We are seeking a highly skilled and motivated AI Engineer to design, develop, and implement AI-driven solutions for our tokenization ecosystem. This role focuses on building and integrating AI capabilities like SmartGPT, predictive analytics, and compliance automation into Zoniqx’s blockchain infrastructure, as outlined in our strategic roadmap. Key Responsibilities AI Solution Development Design and implement AI-driven workflows for tokenization processes, including document automation, compliance reporting, and analytics. Develop predictive models to analyze market trends, asset performance, and liquidity patterns. Build AI-powered risk assessment tools for fraud detection and regulatory compliance. Integration with Blockchain Ecosystem Integration with Blockchain Ecosystem Collaborate with blockchain developers to integrate AI tools into platforms like TPaaS, DyCIST, and RWA Connect. Leverage machine learning (ML) for cross-chain interoperability and transaction optimization. Develop data pipelines to ingest, preprocess, and manage large datasets for AI models. Ensure data security and compliance with relevant regulations. Performance Optimization Optimize AI/ML models for scalability and real-time execution. Benchmark AI solutions to ensure high accuracy and efficiency. Collaboration Work closely with product managers, blockchain developers, and compliance teams to align AI functionalities with business objectives. Contribute to technical documentation and knowledge sharing. Required Skills And Qualifications Mandatory Technical Skills: Programming: Proficiency in Python (TensorFlow, PyTorch, Scikit-learn) and experience with AI/ML frameworks. AI/ML Expertise: Deep understanding of supervised, unsupervised, and reinforcement learning techniques. NLP: Hands-on experience with tools like GPT models, SpaCy, or Hugging Face. Data Engineering: Proficiency in data preprocessing, visualization (Pandas, NumPy, Matplotlib). Experience with distributed data storage and processing tools (e.g., Apache Spark, Hadoop). Blockchain Integration: Familiarity with blockchain concepts and smart contract platforms (e.g., Ethereum, Hedera, Hyperledger). Experience in cross-chain data interoperability and tokenization protocols. Tools and Platforms: Cloud Platforms: AWS, Google Cloud, Azure (AI/ML services). DevOps: Docker, Kubernetes for containerization and model deployment. Databases: SQL, NoSQL, and graph databases like Neo4j. Version Control: Git, GitHub/GitLab. Mandatory Soft Skills Strong problem-solving and analytical skills. Excellent collaboration and communication abilities. Proven ability to work in a fast-paced, agile environment. Experience Preferred Experience 2+ years in AI/ML engineering or a similar role. Developing and deploying AI models for financial or blockchain applications. Domain Knowledge: Familiarity with tokenomics, asset management, or DeFi ecosystems. Knowledge of regulatory compliance frameworks and risk analysis What We Offer Competitive salary and equity options. Opportunity to work on groundbreaking projects in AI and blockchain. Collaborative and innovative work environment. Professional growth and learning opportunities. How To Apply Send your resume, portfolio, and a brief cover letter detailing your experience with AI and blockchain to careers@zoniqx.com . Please include " AI Engineer - Tokenization in the subject line. Join Zoniqx and be at the forefront of the AI and blockchain revolution!
Position: AI Engineer Location: Hyderabad Employment Type: Full-Time About Zoniqx At Zoniqx, we are revolutionizing real-world asset (RWA) tokenization through cutting-edge technologies, including AI and blockchain. Our mission is to enable seamless, secure, and scalable tokenization solutions for global institutions. Join us in creating a future powered by blockchain and AI innovation. Role Overview We are seeking a highly skilled and motivated AI Engineer to design, develop, and implement AI-driven solutions for our tokenization ecosystem. This role focuses on building and integrating AI capabilities like SmartGPT, predictive analytics, and compliance automation into Zoniqx's blockchain infrastructure, as outlined in our strategic roadmap. Key Responsibilities AI Solution Development Design and implement AI-driven workflows for tokenization processes, including document automation, compliance reporting, and analytics. Develop predictive models to analyze market trends, asset performance, and liquidity patterns. Build AI-powered risk assessment tools for fraud detection and regulatory compliance. Integration with Blockchain Ecosystem Integration with Blockchain Ecosystem Collaborate with blockchain developers to integrate AI tools into platforms like TPaaS, DyCIST, and RWA Connect. Leverage machine learning (ML) for cross-chain interoperability and transaction optimization. Develop data pipelines to ingest, preprocess, and manage large datasets for AI models. Ensure data security and compliance with relevant regulations. Performance Optimization Optimize AI/ML models for scalability and real-time execution. Benchmark AI solutions to ensure high accuracy and efficiency. Collaboration Work closely with product managers, blockchain developers, and compliance teams to align AI functionalities with business objectives. Contribute to technical documentation and knowledge sharing. Required Skills And Qualifications Mandatory Technical Skills: Programming: Proficiency in Python (TensorFlow, PyTorch, Scikit-learn) and experience with AI/ML frameworks. AI/ML Expertise: Deep understanding of supervised, unsupervised, and reinforcement learning techniques. NLP: Hands-on experience with tools like GPT models, SpaCy, or Hugging Face. Data Engineering: Proficiency in data preprocessing, visualization (Pandas, NumPy, Matplotlib). Experience with distributed data storage and processing tools (e.g., Apache Spark, Hadoop). Blockchain Integration: Familiarity with blockchain concepts and smart contract platforms (e.g., Ethereum, Hedera, Hyperledger). Experience in cross-chain data interoperability and tokenization protocols. Tools and Platforms: Cloud Platforms: AWS, Google Cloud, Azure (AI/ML services). DevOps: Docker, Kubernetes for containerization and model deployment. Databases: SQL, NoSQL, and graph databases like Neo4j. Version Control: Git, GitHub/GitLab. Mandatory Soft Skills Strong problem-solving and analytical skills. Excellent collaboration and communication abilities. Proven ability to work in a fast-paced, agile environment. Experience Preferred Experience 2+ years in AI/ML engineering or a similar role. Developing and deploying AI models for financial or blockchain applications. Domain Knowledge: Familiarity with tokenomics, asset management, or DeFi ecosystems. Knowledge of regulatory compliance frameworks and risk analysis What We Offer Competitive salary and equity options. Opportunity to work on groundbreaking projects in AI and blockchain. Collaborative and innovative work environment. Professional growth and learning opportunities. How To Apply Send your resume, portfolio, and a brief cover letter detailing your experience with AI and blockchain to [HIDDEN TEXT] . Please include AI Engineer - Tokenization in the subject line. Join Zoniqx and be at the forefront of the AI and blockchain revolution!
Location: Hyderabad, India (On-site) Type: Full-time About Zoniqx Zoniqx is building the infrastructure for the next era of finance. Since 2017, we’ve been pioneers in real-world asset (RWA) tokenization, bridging traditional finance with blockchain liquidity through our Tokenization Platform-as-a-Service (TPaaS) and compliance-native protocols (ERC-7518 DyCIST). From billion-dollar private equity funds to AI + green data centers, Zoniqx helps institutions scale tokenized asset issuance with confidence and global reach. Role Overview We’re looking for an AI Engineer to design, implement, and optimize Agentic AI systems that power our tokenization and institutional finance stack. You’ll work with product, data, and infrastructure teams to build scalable AI solutions using AWS, machine learning, and Retrieval-Augmented Generation (RAG) models. What You’ll Do Build and deploy Agentic AI and RAG-based systems on AWS infrastructure. Develop APIs, data pipelines, and automation tools using Python or Node.js. Train, evaluate, and fine-tune machine learning models for reasoning, automation, and intelligence layers in financial workflows. Integrate AI features into Zoniqx’s TPaaS and blockchain-based asset systems. Collaborate with cross-functional teams to design intelligent, production-ready AI services. Continuously explore new LLM frameworks and Agentic AI tools to drive innovation. What We’re Looking For 3+ years of hands-on experience with Agentic AI or RAG architectures. Strong skills in Python or Node.js. Solid understanding of machine learning algorithms, vector databases, and data pipelines. Experience working with AWS Cloud for model deployment and scaling. Familiarity with tools like LangChain, LlamaIndex, or similar frameworks is a plus. Self-motivated, detail-oriented, and excited about building at the intersection of AI, blockchain, and finance. Why Join Zoniqx Pioneering work: Join a team that’s been leading RWA tokenization since 2017, powering $5B+ in tokenized pipelines. Real impact: Build AI systems that touch global financial infrastructure. Growth path: Opportunities to move into AI Product Lead, ML Architect, or Head of AI Engineering roles. Global exposure: Work with teams across the US, UAE, and India, and contribute to cross-continental projects. Learning culture: Access to research collaborations, AI labs, and the latest tools in blockchain + AI. Travel opportunities: Represent Zoniqx at top RWA, AI, and Web3 events worldwide. Compensation: Competitive salary, performance-based bonuses, and stock options. Perks: Flexible working hours, high-performance equipment, wellness benefits, and a culture that values experimentation and ownership.