Lead Backend Engineer - Agentic AI & MCP Architect

RiseMe; Hartford (CT); On-site; USD 165,000 - 248,000; Full time

Job summary

RiseMe seeks a Lead Backend Engineer to architect and deliver scalable Python services. You will lead design reviews, mentor engineers, and integrate Agentic AI workflows with MCP patterns in production systems. Strong SQL knowledge and experience with distributed architectures are required.

Preferred cloud exposure includes GCP and AWS, and a background in modular, service-oriented design will help drive cross-team architectural decisions and production readiness.

Qualifications

• 5-7+ years of professional software engineering experience.
• Strong Python development experience as the primary language.
• Strong SQL and relational database fundamentals.
• Hands-on experience with Agentic AI workflows and/or MCP servers.
• Strong understanding of backend architecture and distributed systems.
• Experience designing scalable and resilient production systems.
• Strong knowledge of SOLID principles, modular design, and separation of concerns.
• Experience with event-driven and asynchronous architectures.

Responsibilities

• Design, develop, and maintain scalable, production-grade backend services using Python.
• Own technical direction for a workstream or service area.
• Design modular, maintainable services with clear boundaries.
• Build horizontally scalable systems with stateless architecture and proper load distribution.
• Design and integrate Agentic AI workflows and MCP-based solutions into production systems.
• Lead architectural design reviews and establish coding standards.
• Mentor engineers on software architecture and system design.
• Drive adoption of Agentic AI/MCP patterns across teams.

Skills

Python

SQL

Agentic AI

MCP

Distributed systems

Leadership

Relational DB

SOLID principles

Tools

GCP

AWS

Job description

RiseMe seeks a Lead Backend Engineer to architect and deliver scalable Python services. You will lead design reviews, mentor engineers, and integrate Agentic AI workflows with MCP patterns in production systems. Strong SQL knowledge and experience with distributed architectures are required.

Preferred cloud exposure includes GCP and AWS, and a background in modular, service-oriented design will help drive cross-team architectural decisions and production readiness.