Agentic AI​/MCP Lead Engineer

Job Title:
Agentic AI / MCP Lead Engineer

Location:
Philadelphia ,New York, USA

Experience Level:6+ years.

Who Can Apply- US Citizen, Green Card Holder, Valid US Work permit

Company Overview: Incubit LLC is a well-established and innovative technology company based in Ohio, USA. We are seeking a talented Agentic AI / MCP Lead Engineer with expertise in GenAI & MCP to join the project of one of the leading Bank based at New York, USA. Website:

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

• Build intelligent agents capable of:
• Develop agent memory, context handling, and state management capabilities.
• Implement human-in-the-loop controls and agent governance mechanisms.

• Design and implement enterprise RAG solutions.
• Integrate structured and unstructured data sources into agent workflows.
• Optimize retrieval quality, grounding, relevance ranking, and response accuracy.
• Architect integrations with:
• CRM, ERP, and payment systems
• Knowledge repositories
• Search platforms
• Build scalable backend services supporting agent operations.
• Develop reusable frameworks, SDKs, accelerators, and integration patterns.

• Define guardrails for AI agents, tool usage, and autonomous actions.
• Implement authentication, authorization, auditing, and monitoring controls.
• Ensure compliance with enterprise security, privacy, and regulatory requirements.
• Establish observability, traceability, and evaluation frameworks.

• Measure agent effectiveness, latency, cost efficiency, and task completion rates.
• Optimize prompts, workflows, retrieval pipelines, and tool interactions.
• Implement testing frameworks, evaluation benchmarks, and quality assurance processes.
• Improve scalability and resiliency of agent platforms.

• Lead engineering teams building enterprise AI agent solutions.
• Mentor engineers on AI architecture, MCP, agent frameworks, and GenAI best practices.
• Collaborate with Product Managers, Architects, Data Scientists, and Business Stakeholders.
• Drive technical governance and engineering standards.

• 6+ years of software engineering experience with 3+ years in GenAI solutions.
• Hands-on experience building AI agents using frameworks such as:
• Lang Graph
• Lang Chain
• Semantic Kernel
• Auto Gen
• CrewAI
• OpenAI Agents SDK
• Strong understanding of agent planning, reasoning, memory, and orchestration patterns.

• Experience implementing and extending Model Context Protocol (MCP).
• Building MCP servers, tool adapters, connectors, and integration layers.
• Deep understanding of tool calling, context sharing, and enterprise system integration.

• Embeddings, semantic search, hybrid search, and retrieval optimization
• Data pipelines and knowledge engineering

• Exposure to Payments, Banking, Financial Services, or Digital Commerce domains.
• Knowledge of workflow orchestration tools such as Airflow, Temporal, or Prefect.
• Familiarity with GraphRAG, Knowledge Graphs, and advanced retrieval architectures.
• Experience with Azure AI Foundry, OpenAI, Anthropic, Gemini, or multi-model ecosystems.
• Enterprise Agentic AI architecture
• MCP integration framework and server ecosystem
• Multi-agent orchestration platform
• RAG and knowledge retrieval architecture
• Tool and connector catalog
• Security and governance framework
• Agent evaluation and monitoring framework
• Technical standards and engineering best practices
• Production-ready agentic use cases and accelerators
• AI platform roadmap with stakeholder approval
• Type: Contract
• Duration: 6 Month (Extendable)
• Working Model: WFO
• Hourly Rate: Competitive, based on experience.