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Flexible Remote Ai Prompt Engineer Jobs (NOW HIRING)

CoreStory

AI Engineer

You'll work across LLM integration, vector search systems, prompt orchestration, agentic systems ... Flexible, remote-first work environment. * Opportunities to define and build the AI roadmap of a ...

Phsorg

$87K - $149K/yr

Remote AI Automation Developer Summary: Build your Career. Make a Difference. Presbyterian is ... Strong understanding of AI, Generative AI, Large Language Models (LLMs), prompt engineering, and ...

Delan Associates, Inc

AI Lead Engineer (Remote)

Dallas, TX · Remote

$104K - $138K/yr

Prompt Engineering * Retrieval-Augmented Generation (RAG) * Embeddings & Vector Databases * Fine-tuning LLMs * Python * TensorFlow * PyTorch * Scikit-learn * Data Preprocessing & Feature Engineering

New

Seez

AI Backend Engineer

Fort Lauderdale, FL · On-site +1

Knowledge of prompt engineering and LLM evaluation techniques. * Experience deploying AI ... Flexible remote work options * Open door policy to CEO and all Leadership team * One-on-one ...

Fuku

Senior Prompt Engineering Engineer

San Francisco, CA · On-site +1

$123K - $169K/yr

What we're looking for - 4+ years of experience shipping ML/AI or applied NLP systems, with at ... HQ in San Francisco with remote flexibility across North America time zones. How to apply Send your ...

Matrix Global

Solution Engineer

Familiarity with graph databases or query languages (e.g., Neo4j, Cypher) AI & Prompt Engineering * Hands-on experience with multiple LLM platforms (e.g., ChatGPT, Claude, Gemini) * Strong ...

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Flexible Remote Ai Prompt Engineer information

See salary details

$47.5K

$101.7K

$146K

How much do flexible remote ai prompt engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for flexible remote ai prompt engineer in the United States is $101,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $117,500.00 per year, depending on experience, location, and employer.

What is the difference between Flexible Remote Ai Prompt Engineer vs AI Content Writer?

AspectFlexible Remote Ai Prompt EngineerAI Content Writer
Required CredentialsKnowledge of AI models, prompt engineering skillsWriting skills, SEO knowledge, basic AI understanding
Work EnvironmentRemote, project-based, tech-focusedRemote, content creation, marketing teams
Employer & Industry UsageTech companies, AI startups, research firmsDigital marketing agencies, media companies

The main difference is that a Flexible Remote Ai Prompt Engineer specializes in designing prompts for AI models, requiring technical knowledge of AI systems. An AI Content Writer focuses on creating written content optimized for SEO, often with less technical expertise. Both roles are remote and in the tech-driven content industry, but their core skills and responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a flexible remote AI prompt engineer?

To thrive as a Flexible Remote AI Prompt Engineer, you need a deep understanding of natural language processing, creative problem-solving skills, and familiarity with AI model behavior, often supported by experience in linguistics, computer science, or related fields. Proficiency with prompt engineering tools, large language models (such as OpenAI or Anthropic), and version control systems is typically required. Excellent written communication, adaptability, and self-motivation help you stand out in collaborating remotely and iterating on prompt designs. These skills are crucial for developing effective AI interactions, ensuring high-quality outputs, and succeeding in a dynamic, distributed work environment.

What is a flexible remote AI prompt engineer?

A Flexible Remote AI Prompt Engineer is a professional who specializes in designing, testing, and optimizing prompts for artificial intelligence models, such as large language models, while working remotely and often with flexible hours. Their main goal is to craft effective instructions or queries that guide AI systems to produce accurate and relevant outputs. This role requires strong analytical, communication, and technical skills, as well as a deep understanding of AI model behaviors. The flexible and remote nature of the job allows for greater work-life balance and can accommodate various schedules and locations.

What are some common challenges faced by flexible remote AI prompt engineers, and how can they be managed effectively?

Flexible Remote AI Prompt Engineers often encounter challenges such as rapidly evolving AI models, ambiguity in client requirements, and ensuring prompt accuracy across diverse use cases. To manage these effectively, it’s important to stay updated with the latest advancements in AI technology, maintain clear communication with clients and team members, and regularly test and iterate on prompt designs. Leveraging collaborative tools and participating in knowledge-sharing sessions with other engineers can also help address these challenges and foster continuous improvement.
More about Flexible Remote Ai Prompt Engineer jobs
What cities are hiring for Flexible Remote Ai Prompt Engineer jobs? Cities with the most Flexible Remote Ai Prompt Engineer job openings:
What are the most commonly searched types of Remote Ai Prompt Engineer jobs? The most popular types of Remote Ai Prompt Engineer jobs are:
What states have the most Flexible Remote Ai Prompt Engineer jobs? States with the most job openings for Flexible Remote Ai Prompt Engineer jobs include:
What job categories do people searching Flexible Remote Ai Prompt Engineer jobs look for? The top searched job categories for Flexible Remote Ai Prompt Engineer jobs are:
Flexible Remote Ai Prompt Engineer jobs near you
Infographic showing various Flexible Remote Ai Prompt Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $101,706 per year, or $48.9 per hour.

AI Engineer

CoreStory

Remote

Full-time

Re-posted 19 days ago

Job description

About CoreStory
CoreStory unlocks the hidden intelligence in your legacy code. By using AI to surface business logic and technical insights, we give enterprises the clarity to modernize faster, maintain apps smarter, and reduce the risk of costly failures.
We're looking for an AI Engineer who is passionate about building intelligent systems that blend large language models, retrieval architectures, and conversational agents into cohesive, scalable products. This role is critical to the core AI engine powering the CoreStory Platform.
Role Overview
As an AI Engineer, you'll play a central role in developing and optimizing the AI components that power CoreStory's narrative intelligence platform. You'll work across LLM integration, vector search systems, prompt orchestration, agentic systems, and retrieval-augmented generation (RAG) pipelines.
You'll collaborate closely with the product, data, and infrastructure teams to prototype, productionize, and continuously evolve our AI stack - ensuring that our systems are accurate, explainable, efficient, and on the cutting edge of modern AI capabilities.
Key Responsibilities
  • Design, implement, and optimize LLM-powered systems (e.g., RAG, chat agents, summarizers, knowledge graph integration).
  • Build and manage data indexing and retrieval pipelines using LlamaIndex, LangChain, or similar frameworks.
  • Implement and maintain vector databases (e.g., Pinecone, Neo4j, Weaviate, Chroma, or Azure Cognitive Search).
  • Integrate open-source and proprietary LLMs (e.g., GPT, Claude, Llama) into the CoreStory Platform.
  • Develop and refine AI-driven features - including generative insights, automated summarization, and narrative analytics.
  • Collaborate with DevOps and backend teams to deploy scalable AI services within CoreStory's cloud infrastructure.
  • Continuously benchmark model performance, latency, and cost, identifying opportunities for optimization.
  • Stay current with advancements in AI - from model architectures to emerging frameworks - and propose innovative applications aligned with CoreStory's mission.
  • Contribute to internal documentation, experimentation frameworks, and evaluation methodologies.
Qualifications
Required Skills:
  • 7+ years of overall engineering experience with at least 3+ years of experience in AI engineering, machine learning, or applied NLP.
  • Strong hands-on experience with LlamaIndex, LangChain, or similar orchestration frameworks.
  • Experience designing and implementing vector database solutions (e.g., Pinecone, Neo4j, FAISS, Milvus, Weaviate).
  • Solid understanding of LLM APIs (OpenAI, Anthropic, Mistral, Hugging Face, etc.).
  • Proficiency in Python, with experience in libraries such as FastAPI, Pandas, or NumPy.
  • Understanding of retrieval-augmented generation (RAG) patterns, embeddings, and tokenization.
  • Familiarity with prompt engineering, tool calling, and chat agent architectures.
  • Strong problem-solving and analytical mindset, with attention to performance and scalability.
  • Demonstrated interest in staying up-to-date with the fast-evolving AI landscape.

Preferred:
  • Experience deploying AI services in production (e.g., using Docker, Azure, or AWS).
  • Exposure to LangGraph, semantic search, or hybrid RAG systems.
  • Familiarity with knowledge graphs, document intelligence, or multimodal AI.
  • Previous experience in SaaS or early-stage startup environments.
What We Offer
  • Competitive compensation and equity.
  • Flexible, remote-first work environment.
  • Opportunities to define and build the AI roadmap of a fast-growing technology company.
  • Collaborative, learning-oriented culture.
  • Access to cutting-edge AI models, research, and infrastructure.

Apply