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Remote Node Jobs in Orlando, FL (NOW HIRING)

Worth AI

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97K - $134K/yr

Strong Python; comfortable in TypeScript / Node.js. * Solid systems engineering instincts APIs ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Worth AI

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97K - $134K/yr

Strong Python; comfortable in TypeScript / Node.js. * Solid systems engineering instincts APIs ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Worth AI

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97K - $134K/yr

Strong Python; comfortable in TypeScript / Node.js. * Solid systems engineering instincts APIs ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Worth AI

Senior Agentic (AI) Engineer

Orlando, FL · Remote

$107K - $146K/yr

Strong Python; comfortable in TypeScript / Node.js. * Solid systems engineering instincts APIs ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

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Remote Node information

See Orlando, FL salary details

$9

$54

$77

How much do remote node jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for remote node in Orlando, FL is $54.36, according to ZipRecruiter salary data. Most workers in this role earn between $46.01 and $59.47 per hour, depending on experience, location, and employer.

What is a remote node?

A Remote Node is a server or computer that runs specialized software to connect to a blockchain network from a remote location, rather than locally on your own device. Users can interact with the blockchain by sending transactions or querying data through the remote node, reducing the need to download the entire blockchain. This is commonly used in cryptocurrencies to make network access easier and more efficient, especially for lightweight clients or mobile wallets.

What are the key skills and qualifications needed to thrive as a remote Node.js developer?

To thrive as a Remote Node.js Developer, you need a solid understanding of JavaScript, Node.js frameworks (such as Express), RESTful API design, and asynchronous programming, typically supported by a degree in computer science or relevant experience. Familiarity with version control systems like Git, cloud platforms (AWS, Azure), and containerization tools (Docker) is commonly required, along with knowledge of testing frameworks. Strong communication, self-motivation, and time management skills are essential for effective collaboration in distributed teams. These competencies ensure you can deliver robust back-end solutions efficiently while maintaining productivity and clear communication in a remote work environment.

What are some common challenges faced by remote Node.js developers when collaborating with distributed teams?

Remote Node.js Developers often encounter challenges such as coordinating across different time zones, ensuring clear communication in the absence of face-to-face interactions, and maintaining code consistency with team members. Utilizing collaboration tools like Slack, Jira, and GitHub, and following best practices for code reviews and documentation, can help mitigate these challenges. It's also important to participate in regular standups and sync meetings to stay aligned with the team and project goals.

What are popular job titles related to Remote Node jobs in Orlando, FL?

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What job categories do people searching Remote Node jobs in Orlando, FL look for?

The top searched job categories for Remote Node jobs in Orlando, FL are:

What cities near Orlando, FL are hiring for Remote Node jobs?

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Remote Node jobs near you
Infographic showing various Remote Node job openings in Orlando, FL as of August 2026, with employment types broken down into 79% Full Time, 12% Part Time, and 9% Contract. Highlights an 70% Physical, 5% Hybrid, and 25% Remote job distribution, with an average salary of $113,071 per year, or $54.4 per hour.

Senior Agentic (AI) Engineer

Orlando, FL • On-site, Remote

Worth AI
See more jobs at Worth AIexternal

$97K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 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

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