Hire Agentic AI Developers
Johnmicah Potter
Johnmicah is a principal-level engineer and AI architect with nearly 20 years of experience building large-scale systems for Fortune 500 enterprises and high-growth startups. Anthropic-trained, he ships production agentic AI: multi-agent systems, LLM services, and MCP servers, plus the infrastructure behind them. He founded Integrally's engineering org from zero, holds a granted patent for an AI code-generation process, and has a second AI-agent patent pending.
Show MoreDele Olowoyo
Dele is a tech leader, builder, and advisor with 20+ years of experience driving enterprise-scale transformation and production-grade AI solutions. He delivered $2+ million in monthly revenue through agentic AI adoption, $800+ million in annual platform revenue at EY, and scaled engineering teams across multiple countries. An expert in multi-cloud environments, DevSecOps, AI governance, and platform delivery, Dele aligns tech strategy with measurable business outcomes and bottom-line growth.
Show MoreIshita Mukherjee
At Royal Bank of Canada, Ishita led the architecture and delivery of an enterprise agentic AI platform supporting 100+ business users. She is a principal engineer and architect with over 15 years of experience in data and AI/ML for financial services and healthcare. Ishita's expertise spans AWS, Databricks, and Python; she reduced infrastructure costs by 60% while at RBC.
Show MoreEhsanul Haque
Ehsanul is a principal AI engineer with over 12 years of experience in agentic AI and multi-agent orchestration for enterprise clients. At Microsoft, he architected the Azure Platform Insight system, an enterprise-scale agentic AI platform that reduced manual triage effort for Azure support workflows. His expertise spans Semantic Kernel, LangGraph, and RAG architecture for technology and cloud industries.
Show MorePablo Alessio
Pablo is a top-performing AI-centric solution architect, full-stack developer, and Agentic AI specialist. He delivers large-scale apps, cutting-edge AI integrations, autonomous multi-agent workflows, and robust distributed systems. He built over 50 successful projects, evolving from enterprise apps to implementing extraordinary LLM-powered ecosystems, designing scalable infrastructure, and reducing cloud computing costs by half. Pablo is ready to take a challenging project to the next level.
Show MoreAlex Baas
Alex is a 15+ year engineer specializing in high-performance computing and Agentic AI. He builds "Action-Oriented AI" via autonomous workflows, Model Context Protocol (MCP), and optimized GraphRAG pipelines. Alex bridges complex LLM reasoning with production execution using LangGraph, CrewAI, and robust LLMOps. Holding an INSEAD MBA, he combines deep technical mastery of agentic orchestration with strategic business and project leadership.
Show MoreShamlah Veerapandian
Shamlah is a lead software engineer with 10+ years of experience delivering enterprise commerce solutions and AI-assisted engineering platforms. She specializes in SFCC, Next.js, React, TypeScript, system architecture, large-scale migrations, and enterprise integrations (ERP, OMS, PIM, CMS). Shamlah also designs AI-driven engineering workflows to improve software quality, automation, and developer productivity.
Show MoreArzam Abid
Arzam is a senior AI engineer and AI architect with 6 years of experience designing and shipping production AI, NLP, and computer vision systems. She specializes in GenAI platforms, agentic AI, and integrating LLM-powered capabilities into enterprise systems via RAG, embeddings, and API-driven services. Arzam turns ambiguous requirements into reliable, production-grade AI that ships.
Show MoreAmin Ahmed Khan
Amin is an experienced GenAI and agentic AI engineer specializing in designing autonomous agents, high-reliability reasoning systems, and end-to-end LLM applications. He is known for architecting scalable GenAI workflows across AWS, Azure, and GCP, combining strong engineering depth with a passion for real-world impact. Amin leverages his expertise in LangChain, LangGraph, and RAG pipelines to deliver production-ready AI systems that enhance automation, accuracy, and business value.
Show MorePradeep Singh Bhati
Pradeep has extensive experience building enterprise-grade, distributed, multi-tenant full-stack applications and agentic AI platforms. He has architected RAG solutions using LangGraph, LangChain, LlamaIndex, Langfuse, MCP, and LLM Gateways, implementing data ingestion, vector embeddings, semantic retrieval, prompt orchestration, structured outputs, tool calling, multi-agent workflows, AI observability, and production-ready enterprise AI architectures.
Show MoreShadab Arif Ansari
Shadab is a lead AI engineer with 8+ years of experience building production AI systems for healthcare and fintech enterprises. He specializes in agentic AI, multi-agent orchestration (LangGraph), and advanced RAG/GraphRAG architectures powered by Claude, OpenAI, and Llama. Shadab has deployed secure, high-throughput ML platforms on AWS and Azure—from real-time lending decisioning at scale to enterprise member-risk prediction. He's an IIT Kharagpur alumnus and a top 3 LLM engineer at Turing.
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