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Remote Prompt Engineer Jobs in Florida (NOW HIRING)

Worth AI

Senior Agentic (AI) Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

... prompt injection, PII leakage, or unsafe tool use on agents you own. * Force Multiplier: Patterns, tools, and eval scaffolding you build get adopted across engineering. All Remote Hires will be ...

Epiq

Software Engineer

Tampa, FL · Remote

Apply prompt engineering techniques to optimize model interactions and outcomes. * Ensure ... LI-Remote The Compensation range for this role is 110,000 to 160,000 USD annually and may be ...

Channel Partners

Senior AI Application Engineer

Tampa, FL · On-site +1

$120K - $140K/yr

This role follows a hybrid, remote-flexible work model with opportunities for onsite collaboration ... Python (required), JavaScript/Node.js, Docker, Git, AWS / GCP / Azure (working knowledge), prompt ...

Channel Partners

Senior AI Application Engineer

Tampa, FL · On-site +1

$140K/yr

This role follows a hybrid, remote-flexible work model with opportunities for onsite collaboration ... Python (required), JavaScript/Node.js, Docker, Git, AWS / GCP / Azure (working knowledge), prompt ...

Cotality

Principal Software Engineer (Python)

Sunrise, FL · On-site +1

$128K - $172K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... success areas, prompt engineering, and synthetic data generation. * Mentor Senior & Junior ...

Boats Group

AI Software Engineer

Miami, FL · On-site +1

Understanding of prompt engineering, retrieval-augmented reasoning, and tool orchestration ... Embrace a balanced work model with remote work on Mondays and Fridays and in-office collaboration ...

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How much do remote prompt engineer jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for remote prompt engineer in Florida is $41.84, according to ZipRecruiter salary data. Most workers in this role earn between $30.00 and $55.67 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 the most commonly searched types of Prompt Engineer jobs in Florida? The most popular types of Prompt Engineer jobs in Florida are:
What are popular job titles related to Remote Prompt Engineer jobs in Florida? For Remote Prompt Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Prompt Engineer jobs in Florida look for? The top searched job categories for Remote Prompt Engineer jobs in Florida are:
What cities in Florida are hiring for Remote Prompt Engineer jobs? Cities in Florida with the most Remote Prompt Engineer job openings:
Remote Prompt Engineer jobs near you
Infographic showing various Remote Prompt Engineer job openings in Florida as of June 2026, with employment types broken down into 59% Full Time, and 41% Contract. Highlights an 100% Remote job distribution, with an average salary of $87,032 per year, or $41.8 per hour.

Senior Agentic (AI) Engineer

Worth AI

Tampa, FL • On-site, Remote

$98K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that automate KYB, underwriting, and risk decisions on regulated financial data. You'll own agents end-to-end architecture, retrieval, tools, evals, and production deployment and partner closely with our Chief AI Officer, applied scientists, and platform teams.

Responsibilities
  • Design and ship multi-step agentic systems (planner/executor, tool-using, multi-agent, human-in-the-loop) for onboarding, underwriting, case review, and continuous monitoring.
  • Architect agent graphs in LangGraph (or comparable - CrewAI, AutoGen, Claude Agent SDK) with explicit state, durable execution, retries, and safe fallbacks.
  • Build the retrieval layer powering our agents - chunking, hybrid search, reranking, and grounded citation.
  • Own the eval stack: golden sets, offline regression suites, LLM-as-judge, online A/B and shadow evals, and red-teaming for jailbreaks, prompt injection, and PII leakage.
  • Expose agents to production systems via well-typed tools and MCP servers. Treat tool surface area as a product.
  • Drive production MLOps: deployment, versioning, traffic shaping, cost/latency budgets, tracing, and on-call playbooks for agent incidents.
  • Partner with security and compliance to keep agents inside SOC 2, GDPR, CCPA, and fair-lending posture - auditability and explainability built in, not bolted on.
  • Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes.
  • Technology Stack
    • Languages: Python, Node.js, TypeScript
    • Agent / LLM frameworks: LangGraph, LangChain, Claude Agent SDK, MCP, OpenAI SDK
    • Models: Anthropic Claude, OpenAI, open-weight where appropriate
    • Retrieval & Data: PostgreSQL, pgvector, OpenSearch, Kafka, Redshift, Redis
    • Infra: AWS, Kubernetes (EKS), ArgoCD, Terraform
    • Evals & Observability: LangSmith / Langfuse / Braintrust-style tooling, DataDog

Requirements

  • 5+ years of software engineering experience, with 2+ years building production LLM or agentic systems (not just notebooks or demos).
  • Hands-on experience with a modern agent framework (LangGraph strongly preferred) and a track record of shipping agents that run, fail gracefully, and recover.
  • Strong RAG fundamentals chunking, embeddings, hybrid retrieval, reranking, grounding - and judgment about when RAG isn't the right answer.
  • Real eval experience golden sets, offline and online evaluations, used to make ship/no-ship calls.
  • Production MLOps fluency: deployed LLM workloads under real latency, cost, and reliability constraints.
  • Strong Python; comfortable in TypeScript / Node.js.
  • Solid systems engineering instincts APIs, async patterns, queues, databases, distributed system failure modes.
  • Calibrated communicator; thrives in ambiguous, fast-moving environments.
  • Prior experience in fintech, lending, payments, KYB/KYC, fraud, or AML.
  • Experience building MCP servers or other structured tool interfaces for LLMs.
  • Background in classical ML (ranking, scoring, calibration).
  • Experience designing explainable / auditable AI workflows for regulated environments.
  • Open-source contributions to agent frameworks, eval tooling, or retrieval libraries.
  • AWS depth (EKS, MSK, RDS, S3, Lambda) and IaC with Terraform.
Success Metrics
  • Agent Quality: Measurable improvements in task success rate, grounding accuracy, and hallucination rate on our eval suites.
  • Production Reliability: Agents you own meet defined SLOs for latency (P90/P99), tool-call success, and cost per task.
  • Velocity: New agent capabilities go from prototype to production in weeks, without skipping evals or guardrails.
  • Risk Posture: Zero material incidents tied to prompt injection, PII leakage, or unsafe tool use on agents you own.
  • Force Multiplier: Patterns, tools, and eval scaffolding you build get adopted across engineering.

All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration, in addition to orientation in Orlando.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance
  • Flexible Paid Time Off
  • 9 paid Holidays
  • Family Leave
  • Remote
  • Hybrid work (for Orlando Associates)
  • Free Food & Snacks (Orlando)
  • Wellness Resources

Apply