Platform & Product Engineering - LumiMeds Location: Remote / Hybrid Seniority: Mid-Level / Senior ... Build and iterate on AI-powered product features - prompt pipelines, RAG architectures, structured ...
Platform & Product Engineering - LumiMeds Location: Remote / Hybrid Seniority: Mid-Level / Senior ... Build and iterate on AI-powered product features - prompt pipelines, RAG architectures, structured ...
Director, AI Innovation
New Gloucester, ME · On-site +1
$85K - $105K/yr
You'll work directly with our CEO, VP of Growth, VP of Operations, and Developers to turn what ... This is a hybrid role based out of our Maine headquarters, with flexibility for remote work. Maine ...
Director, AI Innovation
New Gloucester, ME · On-site +1
$85K - $105K/yr
You'll work directly with our CEO, VP of Growth, VP of Operations, and Developers to turn what ... This is a hybrid role based out of our Maine headquarters, with flexibility for remote work. Maine ...
Remote Prompt Engineer information
See Maine salary details
$12.57 - $18.53
2% of jobs
$18.53 - $24.50
6% of jobs
$24.50 - $30.47
10% of jobs
$30.47 - $36.43
6% of jobs
$37.43 is the 25th percentile. Wages below this are outliers.
$36.43 - $42.40
3% of jobs
$42.40 - $48.37
6% of jobs
$48.37 - $54.33
9% of jobs
The median wage is $58.13 / hr.
$54.33 - $60.30
12% of jobs
$60.30 - $66.27
12% of jobs
$70.17 is the 75th percentile. Wages above this are outliers.
$66.27 - $72.23
14% of jobs
$72.23 - $78.20
20% of jobs
$12
$54
$78
How much do remote prompt engineer jobs pay per hour?
As of Jul 29, 2026, the average hourly pay for remote prompt engineer in Maine is $54.21, according to ZipRecruiter salary data. Most workers in this role earn between $38.85 and $72.16 per hour, depending on experience, location, and employer.
What is a Remote Prompt Engineer job?
A Remote Prompt Engineer designs, refines, and optimizes prompts to improve interactions between users and AI models. They work with natural language processing (NLP) systems to enhance response accuracy and relevance. This role often involves testing different prompts, analyzing AI outputs, and collaborating with developers or researchers to fine-tune language models. Since the position is remote, engineers use online tools and communication platforms to collaborate with teams and stay updated on AI advancements.
What does a typical workday look like for a Remote Prompt Engineer?
As a Remote Prompt Engineer, your workday often involves designing and testing prompts for various AI models, collaborating with product managers and developers, and analyzing model outputs to refine interactions. You may also participate in virtual team meetings to discuss project goals, provide feedback on AI performance, and stay updated on new advancements in prompt engineering. Routine responsibilities include documenting prompt structures, troubleshooting model behavior, and integrating feedback from client or user testing. This dynamic and collaborative environment enables you to contribute creative solutions and drive continuous improvement in AI-driven applications.
What are the key skills and qualifications needed to thrive in the Remote Prompt Engineer position, and why are they important?
To thrive as a Remote Prompt Engineer, you need expertise in natural language processing, prompt design, and a background in computer science or a related field. Familiarity with AI platforms (such as OpenAI or Anthropic APIs), programming languages like Python, and prompt engineering tools is highly valuable. Outstanding communication, collaboration, and problem-solving skills help remote team members excel in optimizing AI performance. These competencies ensure tailored, effective AI solutions and smooth, results-driven teamwork from a remote environment.
What is a $900000 AI job?
A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, which offer compensation in that range. These positions often require advanced skills in AI development, leadership experience, and may involve overseeing large teams or strategic AI initiatives.
What is the salary of remote prompt engineer?
The salary of a remote prompt engineer typically ranges from $70,000 to $130,000 annually, depending on experience, skills, and the company's location. Entry-level positions may start lower, while experienced professionals with expertise in AI and natural language processing can earn higher salaries. Compensation often includes benefits such as flexible schedules and opportunities for skill development.
Are prompt engineers still in demand?
Prompt engineers are increasingly in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role requires expertise in natural language processing, machine learning, and familiarity with AI tools, making it a valuable skill set in the growing AI industry.
How can I make $100,000 a year working from home?
A remote prompt engineer can earn $100,000 annually by developing high-quality prompts for AI models, gaining expertise in natural language processing, and building a strong portfolio. Increasing income may involve acquiring specialized skills, certifications, and working with multiple clients or companies on a freelance or full-time basis. Consistent performance and staying updated with AI advancements are key to reaching this income level.
What are popular job titles related to Remote Prompt Engineer jobs in Maine? For Remote Prompt Engineer jobs in Maine, the most frequently searched job titles are:
What job categories do people searching Remote Prompt Engineer jobs in Maine look for? The top searched job categories for Remote Prompt Engineer jobs in Maine are:
What cities in Maine are hiring for Remote Prompt Engineer jobs? Cities in Maine with the most Remote Prompt Engineer job openings:
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Posted 28 days ago
Job description
Platform & Product Engineering - LumiMeds
Location: Remote / Hybrid
Seniority: Mid-Level / Senior (Individual Contributor)
Role OverviewSeniority: Mid-Level / Senior (Individual Contributor)
LumiMeds is a high-growth telehealth platform building the next generation of virtual telehealth infrastructure. We are looking for an AI-First Full-Stack 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- using 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.
- 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.