AI Expert/Architect

• Architect and build enterprise-grade Generative AI applications combining LLMs, retrieval, structured data, orchestration, and workflow automation.
• Design agentic systems and multi-step reasoning workflows using LangGraph or equivalent - with clear control over state, memory, tool invocation, and human-in-the-loop checkpoints.
• Build fault-tolerant orchestration for long-running AI workflows using Temporal or similar platforms.
• Drive reference architectures for model routing, prompt versioning, observability, experimentation, and safe production rollout.
• Establish LLM/agent evaluation frameworks - offline evals, regression suites, trace diagnostics, and quality metrics tied to business outcomes.
• Own full feature development across design, implementation, testing, shipping, and servicing.
• Write and review clean, high-quality code with a focus on performance, scalability, and maintainability.
• Set best practices for AI tooling, service observability, alerting, and incident response.
• Mentor engineers across the team and foster a culture of technical excellence and continuous learning.
• Use AI tools in your daily workflow and advocate evolving best practices to the broader team.

1. UI Architect (ReactJS)
2. Agentic AI (Lang graph , Lang chain)
3. NodeJS, * 15+ years of experience building large-scale distributed systems, platforms, or enterprise applications. * Proven track record shipping production AI/LLM-powered applications - agentic workflows, RAG systems, or intelligent automation. * Deep expertise in Generative AI: LLMs (OpenAI), Prompt Engineering, RAG, vector search, and AI agent orchestration. * Hands-on experience with agent frameworks: LangChain, LangGraph, AutoGen, or equivalent. * Frontend and backend background to integrate AI solutions end-to-end into existing applications. * Strong software engineering fundamentals: system design, algorithms, testing, debugging, and code review. * Demonstrated ability to lead technical direction and mentor engineers. * Comfort in ambiguous, fast-moving problem spaces where best practices are still emerging. * BS, MS, or PhD in Computer Science, Engineering, or equivalent practical experience.

Years of Experience: 15 Years of Experience