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Vetted LangGraph Professionals
Pre-screened and vetted.
Executive AI/CTO leader specializing in agentic LLM platforms and enterprise architecture
Senior Python/ML Engineer specializing in LLM-powered backend systems
Senior Machine Learning Engineer specializing in LLMs, agentic AI, and MLOps
Mid-level Software Developer specializing in Java microservices and distributed systems
Mid-level AI Engineer specializing in LLM agents and multimodal generative AI
Mid-level Software Engineer specializing in backend systems and LLM applications
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML services
Junior Software Engineer specializing in AI/ML and FinTech systems
Mid-level AI/ML Engineer specializing in GenAI, RAG, and cloud-native ML platforms
Intern AI/Software Engineer specializing in LLM agents and full-stack automation
Mid-level AI/ML Engineer specializing in NLP, RAG, and agentic AI
Mid-level AI/ML Data Engineer specializing in analytics, ML pipelines, and LLM applications
Junior AI Product Engineer specializing in LLM workflows and analytics automation
Mid-level AI/ML Engineer and Developer Educator specializing in GenAI, RAG, and AI community building
Mid-Level Software Engineer specializing in AI platforms and backend systems
Meet Merchant
Mid-level Software Engineer specializing in LLM agents and full-stack systems
“At Esri, the candidate is building a production LLM-powered WebGIS AI framework that embeds an AI assistant into web maps and routes natural-language requests into ArcGIS JavaScript SDK functions via a LangGraph-orchestrated, multi-agent system. They emphasize production reliability and scale (strict tool calling/JSON, live schema validation, query guardrails) and rigorous evaluation/observability using LangSmith, offline prompt datasets, and latency/tool-call accuracy tracking.”
“Built and deployed a live LLM-powered platform that takes a LinkedIn job URL + resume and generates job-specific resumes and personalized outreach at scale, with production-grade logging/monitoring/retries on Vercel + Railway. Experienced with agent orchestration (AWS Bedrock/Strands, LangGraph, CrewAI) and rigorous AI workflow testing, plus stakeholder-facing prototypes like data lineage/metadata and NL-to-SQL + dashboard generation.”
Hachem Hamadeh
Mid-level Applied AI Engineer specializing in ML systems, MLOps, and industrial analytics
“Industrial AI/ML practitioner with experience deploying real-time monitoring and anomaly detection in a regulated Sanofi vaccine manufacturing facility, including root-cause workflows, logging/alerting, and SOP-aligned validation—achieving ~90% faster anomaly detection. Also built Python/NLP-style automation to accelerate instrumentation & control documentation (~40% faster) and delivered end-to-end predictive analytics for an agri-food operations/distribution client using close operator and leadership feedback loops.”
Haider Shah
Principal AI/ML Architect specializing in GenAI, LLMs, RAG, and Agentic AI
“FinTech/AI engineer who has shipped an end-to-end discrepancy-detection product for financial managers using Next.js, FastAPI/GraphQL, Pinecone, and AWS (with dev/staging/prod, observability, A/B testing, and documentation). Also built an AI-native “AI Genesis” system with agentic cyclic workflows, routing, and tool use, and has experience modernizing legacy systems via the strangler fig pattern while coordinating with senior stakeholders on a 5G autonomous simulation platform.”
Yash Vishe
Junior Software Engineer specializing in LLM systems, data engineering, and ML
“Backend/ML systems engineer with experience at SDSC, UCSD, and Media.net, building production semantic dataset/model discovery using embeddings + Solr KNN and LLM-based intent/reranking at 5M+ dataset scale. Emphasizes offline/online separation for predictable serving, has delivered measurable gains (23% retrieval accuracy, 38% latency reduction) and helped secure a $3M+ NSF grant.”