MetTel is a global communications solutions provider with the most complete suite of fully managed services that focus on secure connectivity, and network and mobility services. We simplify communications and networking for business and government agencies. Our customers include many of the Fortune 500, and Gartner recognizes us as an industry leader. We have the broadest portfolio of technology and integrated partnerships, as well as our private network, which we use to create tailored solutions design, deployment, and ongoing management, driving cost savings, efficiency, innovation, and the ability to focus on core objectives.

We believe that each team member is a key to the success and sustainability of the group. In order to achieve this, we offer an environment where all professionals can grow and develop their skills and competencies, collaborate with diverse professionals, share knowledge and enjoy a rewarding career.

Join our Bruin Software Engineering Team and help shape the future of AI-driven software development.

We are seeking an experienced Senior Software Engineer – AI & Platform Modernization to lead the transformation of critical enterprise applications while helping establish AI-native software engineering practices across the organization. This role combines full-stack software engineering, cloud architecture, and modern AI development methodologies to accelerate innovation and improve engineering productivity.

You will leverage advanced AI development tools such as Claude Code, GitHub Copilot, Cursor, OpenAI, Anthropic, and future AI engineering platforms to architect, develop, and modernize mission-critical applications. Beyond simply using AI tools, you will be instrumental in designing and implementing AI-powered software solutions, automating workflows, and integrating Large Language Models (LLMs) into enterprise products and business processes.

This is an ideal opportunity for engineers passionate about AI application development, Generative AI, intelligent automation, platform modernization, cloud-native architecture, and next-generation software engineering practices.

Key Responsibilities

AI-Driven Software Engineering & Development

Lead the development of AI-enabled applications utilizing Large Language Models (LLMs), Generative AI technologies, and intelligent automation frameworks.
Design and implement scalable AI-powered solutions including AI assistants, copilots, knowledge retrieval systems, workflow automation, and enterprise productivity applications.
Partner with AI coding platforms such as Claude Code, GitHub Copilot, Cursor, and emerging AI development tools to accelerate software delivery while maintaining engineering quality and architectural integrity.
Evaluate and implement AI development best practices, prompt engineering techniques, AI governance standards, and responsible AI methodologies.
Develop AI-enhanced workflows that improve developer productivity, software quality, testing efficiency, and operational effectiveness.

Platform Modernization Leadership

Own the end-to-end modernization of a complex enterprise application ecosystem, migrating legacy technology platforms to modern cloud-native architectures.
Architect and execute module-by-module migration strategies while maintaining compatibility with existing Microsoft SQL Server environments.
Drive technical decision-making around platform architecture, scalability, maintainability, observability, and security.

Full-Stack Application Development

Build and maintain modern applications utilizing:
TypeScript
Node.js
NestJS
React
Python
REST APIs
SQL and NoSQL databases
Create highly scalable front-end and back-end solutions supporting enterprise workloads and AI-enabled user experiences.
Design secure, performant APIs and service-oriented architectures.

AI Workflow & Process Automation

Design and implement intelligent workflow orchestration solutions using Temporal.io and related workflow platforms.
Integrate AI decisioning into long-running enterprise processes, human task queues, automation frameworks, and approval workflows.