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Virtual Engineer Jobs in Turner, ME (NOW HIRING)

Senior Project Engineer

Auburn, ME ยท Remote

$106K - $138K/yr

Senior Engineering Manager __ In this role, you will act as a design authority for an engineering ... health navigation and virtual health, and infertility/adoption * Employee discount program ...

Scrum Master REMOTE

Augusta, ME ยท On-site

$51 - $68/hr

Virtual Interview Work Mode: 100% Remote. Required Qualifications * Bachelor's degree in ... Experience with Agile tools (e.g., Jira, Azure DevOps). * Experience in large, complex, or public ...

Virtual Interview Work Mode: 100% Remote Project Management: * Manage, coordinate, and establish priorities for the complete life cycle of projects, including the planning, design, programming ...

MuleSoft Architect

Augusta, ME ยท On-site

$99K - $225K/yr

... engineering solution. As a lead MuleSoft Architect on our team, you'll have the chance to shape ... virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first ...

Virtual Engineer information

See Turner, ME salary details

$8

$51

$76

How much do virtual engineer jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for virtual engineer in Turner, ME is $51.84, according to ZipRecruiter salary data. Most workers in this role earn between $42.88 and $59.23 per hour, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves bonuses, stock options, or profit sharing, particularly in technology and energy sectors.

What is a Virtual Engineer job?

A Virtual Engineer is a professional who provides engineering support, design, or troubleshooting services remotely using digital tools and platforms. They may work in fields like software development, IT infrastructure, mechanical design, or networking. Virtual Engineers collaborate with teams online, leveraging cloud computing, simulations, and remote access technologies to complete their tasks efficiently. This role is increasingly in demand due to the rise of remote work and digital transformation.

What jobs pay $700 a day?

Virtual engineers or remote technical consultants can sometimes earn $700 a day, especially with specialized skills in software development, cloud computing, or cybersecurity. High-demand freelance or contract roles in IT and engineering fields often pay this rate for experienced professionals working on complex projects or with advanced certifications. Compensation varies based on expertise, project scope, and client budgets.

How to make $1000 a week remotely?

A Virtual Engineer can earn $1000 a week remotely by taking on multiple freelance or contract projects that match their technical skills, such as software development, system design, or network management. Building a strong portfolio, gaining certifications, and using platforms like Upwork or Freelancer can help secure consistent work and higher-paying opportunities.

What are the key skills and qualifications needed to thrive in the Virtual Engineer position, and why are they important?

To excel as a Virtual Engineer, you need strong technical expertise in systems engineering, software or network infrastructure, and a relevant degree in engineering or computer science. Familiarity with cloud-based platforms, remote collaboration tools, and certifications such as AWS Certified Solutions Architect or Cisco CCNP are often required. Excellent problem-solving, communication, and time management skills are essential for effectively working with distributed teams and clients. These competencies ensure Virtual Engineers can deliver reliable solutions and maintain productivity in a flexible, remote environment.

What do virtual engineers do?

Virtual engineers design, develop, and test engineering solutions remotely, often using digital tools, simulation software, and collaboration platforms. They may work on tasks such as system modeling, software development, or technical support, typically requiring strong technical skills and familiarity with engineering software. Their work environment is usually remote or distributed, and they may need certifications relevant to their engineering discipline.

What are some typical challenges a Virtual Engineer faces when working remotely?

A common challenge for Virtual Engineers is maintaining effective communication and collaboration with team members and stakeholders across different locations and time zones. They often need to troubleshoot complex technical issues without direct physical access to equipment, which requires creative problem-solving and advanced remote management skills. Adapting to evolving digital tools and workflows is important to stay productive and efficient. Overcoming these challenges enables Virtual Engineers to deliver high-quality work and remain integral contributors to their teams.

Senior Full-Stack Engineer (Node.js & Next.js, AI-Native) - Remote

Lumimeds

Mexico, ME โ€ข Remote

Other

Posted 27 days ago


Job description

Platform & Product Engineering - LumiMeds
Location: Remote / Hybrid
Seniority: Mid-Level / Senior (Individual Contributor)
Role Overview

LumiMeds is a high-growth telehealth platform building the next generation of virtual telehealth infrastructure. We are looking for an AI-First Full-Stackย Engineer who treats AI not as a tool but as a core part of how they think, build, and ship.

This is not a role for someone who occasionally uses Copilot to autocomplete lines. You are an engineer who has rebuilt how you work around AI- usingย LLMs to generate scaffolding, reason through architecture, write tests, debug production issues, and ship faster than a team twice the size. Critically, you know how to orchestrate Claude agent teams to parallelize complex engineering work, treating a coordinated group of Claude agents as a force multiplier on top of your own output. You will balance 90% hands-on coding with 10% knowledge sharing, and you are expected to push the velocity ceiling of what one engineer can deliver.


Core Technical Domains

You will build and scale the following critical healthcare systems:

  • EMR & Clinical Data Engine: Implementing high-availability Electronic Medical Record (EMR) systems with complex data modeling for patient history and clinical notes.
  • AI Clinical Copilot: Integrating LLMs to automate clinical documentation, summarize patient charts, and surface actionable insights for providers.
  • Prescription Management (e-Prescribing): Building secure, auditable workflows for medication orders, pharmacy integrations, and state-machine-based fulfillment tracking.
  • Virtual Care Infrastructure: Implementing real-time patient-provider interfaces, including WebRTC video, secure messaging, and async consultation flows.
  • E-commerce & Checkout: Engineering high-conversion storefront experiences, including complex product catalogs, subscription billing models, and dynamic pricing engines.

Key Responsibilities
  • AI-Augmented Development: Use Cursor, Copilot, and LLM APIs as first-class engineering tools - not as an afterthought. Generate, validate, and iterate on code at machine speed.
  • Claude Agent Team Orchestration: Design and operate teams of Claude agents to parallelize engineering work - breaking large tasks into agent-
  • executable subtasks, managing context handoffs between agents, and coordinating outputs into coherent, production-ready deliverables. This is a core competency, not a bonus.
  • Full-Stack Feature Ownership: Drive end-to-end delivery across Node.js backends and Next.js frontends, from schema design to production deployment.
  • LLM Product Integration: Build and iterate on AI-powered product features - prompt pipelines, RAG architectures, structured output parsing, and agentic workflows embedded into clinical and consumer interfaces.
  • Production Quality: Maintain high standards for API contracts, database schema migrations, CI/CD pipelines, and observability. AI-generated code is your code - you own its correctness.
  • Compliance & Security: Ensure all systems meet HIPAA/SOC2 standards, focusing on data encryption, audit logs, and PII protection.

Required Hard Skills & Tech Stack

Backend & API:

  • Node.js & TypeScript: Strong command of async patterns, event-driven architecture, and runtime performance.
  • API Design: Proficiency in RESTful, GraphQL, and TypeSafe APIs (tRPC).
  • Database: Solid PostgreSQL fundamentals (joins, indexing, migrations) and Redis for caching.

Frontend:

  • Next.js & React: Working knowledge of App Router, Server Components (RSC), and client/server data flow.
  • State Management: Experience with TanStack Query, Zustand, or similar.

AI & Infrastructure:

  • LLM Integration: Hands-on experience integrating OpenAI or Anthropic APIs into production environments - streaming, tool use, structured outputs.
  • Claude Agent Teams: Demonstrated experience building and orchestrating Claude agent teams using the Claude Agent SDK. You know how to decompose a problem, spin up specialized subagents, manage inter-agent communication, and stitch outputs back into a reliable, production-ready result.
  • AI Dev Tooling: Daily active use of Cursor, GitHub Copilot, or equivalent. You have strong opinions about how to prompt effectively.
  • Cloud & DevOps: Familiarity with AWS (EC2, RDS, Lambda, S3), Vercel, and GitHub Actions.

Candidate Qualifications
  • 3+ years of professional software engineering experience.
  • AI-Native Workflow: You can demonstrate, concretely, how AI has changed the way you write and ship software. Portfolio or examples preferred.
  • Full-Stack Range: Comfortable moving between backend logic and frontend implementation without hand-holding.
  • High Agency: Ability to operate in ambiguous environments, self-direct, and make high-leverage decisions without constant supervision.
  • Communication: Professional proficiency in English for technical documentation and async collaboration.

Why Join LumiMeds?
  • AI as Infrastructure: We don't treat AI as a feature - it's woven into how we build, test, document, and ship. You'll be in the right environment to go further than anywhere else.
  • High Complexity: Work on hard engineering problems involving real-time data, complex clinical state machines, and high-stakes reliability.
  • Direct Impact: Your code will directly affect patient outcomes and the efficiency of healthcare providers.