Lead AI Engineer2
Technical Skills
Engineering Stack: Solid hands-on proficiency in Python and/or .NET (C#, 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.
Team-oriented 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 settings within IT services or consulting organizations is preferred.
Key Responsibilities
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 Frame

📌 Lead Ai Engineer Hyderabad
🏢 Jade Global
📍 Hyderabad