AI Engineer

• Architect and implement intelligent automation workflows using LLMs, prompt engineering, and dynamic context management.
• Design and optimize prompts for precision and contextual relevance across diverse use cases.
• Build and orchestrate multi-agent systems using frameworks like LangGraph.
• Integrate LLMs into scalable Python applications using APIs and custom pipelines.
• Develop and maintain robust backend services and optional front-end interfaces for end-to-end AI applications.
• Lead the development of scalable web applications using Python (FastAPI, Flask, Django) and React.js.
• Architect RESTful APIs and integrate third-party services.
• Drive best practices in coding, testing, and application architecture.
• Mentor junior developers and lead code reviews to ensure technical excellence.
• Design and implement security protocols to protect AI systems from emerging cyber threats.
• Conduct adversarial testing, vulnerability assessments, and compliance audits.
• Develop secure coding standards and guide teams on responsible AI deployment.
• Research and apply industry standards (e.g., NIST AI-RMF, ISO42001, OWASP Top 10 for LLMs) to safeguard AI systems.

Principal AI Architect

Gen AI Architect