AI Expert​/Architect

Job Description: AI Expert/Architect Location: REMOTETop Skills RequiredUI Architect (ReactJS)Agentic AI (Lang graph , Lang chain)NodeJSResponsibilitiesArchitect 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 Lang Graph 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.Required Qualifications 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: Lang Chain, Lang Graph, Auto Gen, 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.