Lead AI Engineer

Lead AI Engineer2 Technical Skills * **Engineering Stack:** Strong hands-on proficiency in **Python** and/or **.NET (C#, [ASP.NET](http://asp.net/) Core)**, **Java**, or **Node.js**. * **AI & GenAI:** Practical experience with GenAI APIs (OpenAI, Azure OpenAI), LangChain, LlamaIndex, RAG patterns, or agentic workflow frameworks. * **Cloud & DevOps:** Hands-on experience with AWS, Azure, or GCP—microservices, Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Azure DevOps). * **Automation:** Exposure to workflow orchestration engines, RPA tools, or custom automation scripts. * **Enterprise Platforms:** Familiarity with enterprise systems (Oracle, SAP, Salesforce, or ServiceNow) is a plus. * **Certifications:** Cloud Certification (AWS, Azure, or GCP) at associate/developer level is a plus. Soft Skills * Clear technical communication—able to explain code implementation to teammates and project managers. * Collaborative team player accustomed to working across global/offshore time zones. * Curious and self-motivated — proactively explores new AI tools, frameworks, and engineering patterns. **Experience**  * Experience: 5–8 years of hands-on software engineering experience, with 3+ years  as, Senior AI engineer   * Hands-on experience building and delivering enterprise-grade solutions across cloud, AI/ML, and application engineering.   * Experience working in client-facing delivery environments within IT services or consulting organizations is preferred.   Key Responsibilities -------------------- ### 1\. Hands-on Engineering & Delivery * Write production-grade code to build component-level features and API integrations based on technical designs and blueprints. * Actively contribute to daily engineering deliverables—developing backend microservices, driving unit testing, refactoring code, and resolving technical debt. * Conduct peer code reviews to ensure code quality, performance, maintainability, and adherence to team engineering standards. * Troubleshoot and resolve complex bugs, API integration issues, and performance bottlenecks within application microservices. **AI & Engineering Framework Adoption** * Learn, implement, and integrate for AI-native feature— including GenAI integration patterns, agentic workflows, and intelligent automation  * Contribute to the development and maintenance of AI engineering frameworks, solution accelerators, and reusable technical assets.   * Evaluate and experiment with new tools, APIs, and platforms in the AI and cloud-native space. **Technical Consulting & Problem Solving** * Engage with client technical teams to understand system landscapes, integration requirements, and technical constraints.   * Propose pragmatic, technology-forward solutions to complex engineering challenges across application modernization, AI integration, and cloud migration.   * Support the Solution and Principal Architect in pre-sales activities including technical assessments, proof-of-concept design, and effort estimation. ### Cloud & Automation Execution * Develop and deploy cloud-native services on AWS, Azure, or GCP using containers (Docker, Kubernetes), serverless functions, and event-driven patterns. * Implement intelligent automation components using workflow orchestration engines, RPA integrations, or custom AI-driven pipelines. **Engineering Community & Mentoring** * Mentor junior engineers—supporting technical upskilling on AI tools, cloud platforms, and modern engineering practices.   * Contribute to Jade's internal community of practice through knowledge sharing, documentation, and participation in architecture discussions. **Education** * Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related technical field is required**.**