Agentic GenAI & MCP Lead Engineer

Incubit

Town of Philadelphia (NY)

On-site

USD 165,000 - 248,000

Full time

14 days+

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Job summary

Incubit is seeking an experienced Agentic AI / MCP Lead Engineer to drive enterprise AI strategy for a bank-facing project in New York. You will architect agent frameworks, develop MCP integrations, and lead cross‑functional teams across AI, data, and product stakeholders.

You will design scalable agent architectures, govern responsible AI practices, and optimize end‑to‑end workflows (memory, planning, retrieval).

Qualifications

  • 6+ years of software engineering experience with 3+ years in GenAI solutions.
  • Hands-on experience building AI agents using LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, OpenAI Agents SDK.
  • Strong understanding of agent planning, reasoning, memory, and orchestration patterns.
  • Experience implementing and extending Model Context Protocol (MCP).
  • Data embeddings, semantic search, and retrieval optimization experience.
  • Enterprise integration with CRM/ERP and knowledge repositories.

Responsibilities

  • Define the enterprise architecture for Agentic AI platforms and solutions.
  • Design autonomous agent workflows for customer, employee, and operational use cases.
  • Establish patterns for multi-agent collaboration, orchestration, planning, reasoning, and execution.
  • Drive technical vision for AI-powered business transformation initiatives.
  • Design MCP-based integrations between agents, tools, enterprise systems, and knowledge sources.
  • Develop reusable MCP servers and connectors for business applications.
  • Define standards for tool discovery, context management, permissions, and secure access controls.
  • Ensure interoperability between AI models, agents, and enterprise ecosystems.

Skills

LangChain
LangGraph
Semantic Kernel
AutoGen
CrewAI
OpenAI Agents SDK
GenAI solutions

Tools

MCP servers
Tool adapters
Connectors

Job description

Incubit is seeking an experienced Agentic AI / MCP Lead Engineer to drive enterprise AI strategy for a bank-facing project in New York. You will architect agent frameworks, develop MCP integrations, and lead cross‑functional teams across AI, data, and product stakeholders.

You will design scalable agent architectures, govern responsible AI practices, and optimize end‑to‑end workflows (memory, planning, retrieval).

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