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 Engineering information
How to make $1000 a week remotely?
Remote prompt engineering can generate $1000 or more weekly by freelancing on platforms like Upwork or Fiverr, building a strong portfolio, and offering specialized skills in AI and NLP. Consistent work, high-demand projects, and efficient time management are key to reaching this income level.
What engineer makes $500,000 a year?
Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in tech giants or startups with significant growth potential.
What is the difference between Remote Prompt Engineering vs Remote Data Annotation Specialist?
| Aspect | Remote Prompt Engineering | Remote Data Annotation Specialist |
|---|---|---|
| Required Credentials | Basic understanding of AI, NLP, and scripting skills | Attention to detail, familiarity with annotation tools, no formal certifications required |
| Work Environment | Collaborative with AI/ML teams, remote setup | Independent annotation tasks, remote or on-site |
| Industry Usage | AI development, NLP projects, machine learning | Data labeling for AI training datasets |
| Search & Comparison Intent | Understanding roles in AI development, job requirements | Data labeling jobs, annotation tasks, related roles |
Remote Prompt Engineering involves designing and refining prompts for AI models, requiring some technical skills and collaboration with AI teams. In contrast, Remote Data Annotation Specialists focus on labeling data to train AI systems, emphasizing attention to detail. Both roles are essential in AI development but differ in skills and daily tasks.
What are some common challenges faced by remote prompt engineers, and how can they be addressed?
Remote prompt engineers often face challenges related to communication and collaboration, especially when working across time zones and with interdisciplinary teams. Staying updated on rapidly evolving AI technologies and understanding nuanced user requirements can also be demanding. To address these, prompt engineers can leverage collaborative tools, maintain clear documentation, and participate in regular team syncs. Building a habit of continuous learning and engaging in knowledge-sharing sessions helps keep skills relevant and fosters a sense of connection despite remote work.
What are the key skills and qualifications needed to thrive as a Remote Prompt Engineer, and why are they important?
To thrive as a Remote Prompt Engineer, you need a strong background in natural language processing, programming (often Python), and an understanding of AI/ML concepts, typically supported by a relevant degree or industry experience. Familiarity with large language models (like OpenAI's GPT), prompt optimization tools, and version control systems such as Git is common. Creativity, problem-solving, and strong written communication are vital soft skills for designing effective prompts and collaborating remotely. These skills ensure the development of high-performing AI solutions and seamless teamwork in distributed environments.
Are prompt engineers still in demand?
Prompt engineering is a growing field as organizations seek professionals skilled in designing effective prompts for AI language models. Demand for prompt engineers is increasing across industries such as technology, healthcare, and finance, often requiring knowledge of AI tools and natural language processing. The role is expected to remain relevant as AI adoption expands.
What jobs make $3,000 a day?
High-paying jobs such as remote prompt engineering, specialized consulting, or executive roles can earn $3,000 or more per day, especially for professionals with advanced skills, experience, and in-demand expertise. These roles often require strong technical knowledge, certifications, and the ability to deliver high-value services on a freelance or contract basis.
What is remote prompt engineering?
Remote prompt engineering is the practice of designing and refining prompts for AI language models, such as ChatGPT, while working from a remote location. Prompt engineers craft instructions or questions to optimize the model’s responses for specific tasks or applications. This role typically involves understanding both the capabilities and limitations of AI systems, as well as the needs of end users or clients. Remote prompt engineers collaborate online with teams and may work for tech companies, research organizations, or as independent contractors.
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What job categories do people searching Remote Prompt Engineering jobs in Maine look for? The top searched job categories for Remote Prompt Engineering jobs in Maine are:
What cities in Maine are hiring for Remote Prompt Engineering jobs? Cities in Maine with the most Remote Prompt Engineering 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.