Remote Software Engineer Jobs in Edgewater, NJ (NOW HIRING)

We are sharing a specialised full-time consulting opportunity for software engineers experienced in SaaS platform development, backend and frontend engineering, API integrations, real-time dashboards, agentic workflows, MCP-style architectures, and production-ready technical delivery.

This role supports current and upcoming remote technology consulting opportunities focused on AI-native platform development, integrations architecture, real-time analytics, agentic tool-use workflows, product launch support, and high-quality software execution. Selected professionals will contribute to end-to-end engineering work across platform foundations, data models, APIs, dashboards, workflow systems, and integration layers.

Key Responsibilities

Professionals in this role may contribute to:

AI-Native Platform Development

• Build core platform foundations including entities, workflows, permissions, multi-tenant structures, and production-ready application features
• Ship end-to-end product functionality across backend and frontend systems
• Develop scalable data models, APIs, user-facing workflows, and internal product surfaces
• Support pilot launches through hands-on implementation, debugging, iteration, and user-driven improvements

Integrations, APIs & Agentic Tool Architecture

• Design and implement integration layers connecting common business tools, external APIs, event ingestion systems, sync workflows, and action frameworks
• Work with OAuth2, webhooks, API pagination, rate limits, sync semantics, connector design, and integration reliability
• Build MCP-compatible or MCP-style tool interfaces, tool registries, runtime patterns, permission layers, and observability flows
• Support agentic workflows that allow software systems to interact safely and reliably with external tools

Analytics, Engineering Quality & Technical Delivery

• Build real-time analytics dashboards with live metrics, drill-downs, exports, and stakeholder-facing reporting surfaces
• Set up strong engineering hygiene including testing, observability, deployment readiness, and pilot-stage reliability
• Review technical tradeoffs, unblock implementation issues, and communicate clearly with stakeholders
• Maintain high standards for correctness, maintainability, speed, and practical product execution

Ideal Profile

Strong candidates may have:

• Strong practical software engineering experience with the ability to ship end-to-end product features
• Experience building SaaS products with APIs, data models, authentication, production constraints, and user-facing workflows
• Deep comfort with integrations, including OAuth2, webhooks, third-party APIs, rate limits, event ingestion, and data sync logic
• Familiarity with backend and frontend engineering across modern web application stacks
• Comfort using AI-assisted development tools effectively while maintaining strong judgment around tests, interfaces, and guardrails
• Clear communication skills and ability to explain technical tradeoffs to product, engineering, and stakeholder teams

Educational Background

• A degree or professional background in computer science, software engineering, computer engineering, information systems, data systems, or a related technical field is helpful
• Equivalent practical experience in SaaS engineering, platform development, integrations engineering, full-stack development, backend systems, or AI-native product work is also highly relevant

Nice to Have

• Experience with MCP-style tool interfaces, tool servers, agent frameworks, workflow automation, or AI-native product architectures
• Familiarity with React, Node.js, Python, TypeScript, Next.js, FastAPI, PostgreSQL, cloud platforms, Docker, CI/CD, observability tools, or modern SaaS infrastructure
• Experience building dashboards, analytics surfaces, integration frameworks, event-driven systems, or multi-tenant platforms
• Background in startup engineering, product engineering, platform teams, developer tools, internal tools, or AI workflow products
• Strong attention to detail in fast-moving, production-focused, integration-heavy software environments

Why This Opportunity

• Apply software engineering expertise to AI-native platform and integrations development
• Contribute to high-quality SaaS infrastructure, real-time dashboards, agentic workflows, and production product delivery
• Work on remote technical assignments aligned with modern AI and platform engineering practices
• Use your engineering judgment in a focused, fast-moving product development environment
• Remote structure with competitive hourly compensation

Contract Details

• Full-time consulting-style engagement
• Fully remote role
• U.S.-based professionals preferred depending on project requirements
• Competitive rates between $95–$140 per hour depending on expertise
• Weekly payments via Stripe or Wise
• Projects may be extended, shortened, or adjusted depending on scope and performance
• Work will not involve access to confidential or proprietary information from any employer, client, or institution

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

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