Senior Agentic AI Engineer (Hybrid)

Role overview

Responsibilities

• check_circle Develop reusable MCP connectors/adapters for internal and external systems.
• check_circle Implement MCP-based access to:
• check_circle Ensure MCP servers are modular, reusable, secure, and observable.
• check_circle Integrate MCP-enabled tools with LLM applications, copilots, and autonomous agents.
• check_circle Implement tool invocation patterns for single-agent and multi-agent workflows.
• check_circle Ensure AI agents can discover, invoke, and consume tools safely through MCP.
• check_circle Build integrations between Agentic AI platforms and enterprise systems including:
• check_circle Work with application, data, cloud, and cybersecurity teams to onboard enterprise tools into MCP-based agent ecosystems.

Basic qualifications

• 5+ years of experience in software engineering, API integration, data engineering, or enterprise application integration.
• Hands-on experience with Generative AI / LLM-based applications.
• Experience building APIs, connectors, microservices, or enterprise integration layers.
• Exposure to Agentic AI, tool-calling, workflow automation, or AI orchestration frameworks.
• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Data Science, or related field.

Benefits

• check_circle Medical/Dental/Vision/Life Insurance
• check_circle Paid holidays plus Paid Time Off
• check_circle 401(k) plan and contributions
• check_circle Long-term/Short-term Disability
• check_circle Paid Parental Leave
• check_circle Employee Stock Purchase Plan