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Remote Open Source Intelligence Jobs in Florida (NOW HIRING)

Senior Agentic (AI) Engineer

Miami, FL ยท On-site +1

$99K - $137K/yr

Open-source contributions to agent frameworks, eval tooling, or retrieval libraries. * AWS depth ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Senior Agentic (AI) Engineer

Tampa, FL ยท On-site +1

$98K - $135K/yr

Open-source contributions to agent frameworks, eval tooling, or retrieval libraries. * AWS depth ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Senior Agentic (AI) Engineer

Orlando, FL ยท On-site +1

$97K - $134K/yr

Open-source contributions to agent frameworks, eval tooling, or retrieval libraries. * AWS depth ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Senior Agentic (AI) Engineer

Orlando, FL ยท On-site +1

$97K - $134K/yr

Open-source contributions to agent frameworks, eval tooling, or retrieval libraries. * AWS depth ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

JOB OVERVIEW: We are looking for a Lead Quality Assurance Engineer for an exciting remote ... Open-source contributions to QA/testing projects ADDITIONAL TECHNICAL REQUIREMENTS: * Experience ...

Lead Quality Assurance Engineer

Miami, FL ยท Remote

$100K - $160K/yr

JOB OVERVIEW: We are looking for a Lead Quality Assurance Engineer for an exciting remote ... Open-source contributions to QA/testing projects ADDITIONAL TECHNICAL REQUIREMENTS: * Experience ...

We seek a Lead Quality Assurance Engineer for an exciting remote opportunity based in Miami. Our ... Open-source contributions to QA/testing projects ADDITIONAL TECHNICAL REQUIREMENTS: * Experience ...

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Showing results 1-20

Remote Open Source Intelligence information

See Florida salary details

$34K

$78.2K

$107.6K

How much do remote open source intelligence jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote open source intelligence in Florida is $78,199.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $88,600.00 per year, depending on experience, location, and employer.

What is a Remote Open Source Intelligence job?

A Remote Open Source Intelligence (OSINT) job involves gathering, analyzing, and interpreting publicly available information from various online sources to support investigations, security assessments, or business intelligence. OSINT professionals work remotely to collect data from websites, social media, forums, and public records, often using specialized tools and techniques. These roles are common in cybersecurity, law enforcement, corporate security, and competitive intelligence. Strong analytical skills, critical thinking, and knowledge of digital research methods are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Remote Open Source Intelligence position, and why are they important?

To excel as a Remote Open Source Intelligence (OSINT) professional, you need strong analytical skills, expertise in research methodologies, and a background in intelligence or cybersecurity, often supported by relevant degrees or certifications such as GIAC Open Source Intelligence (GOSI) or similar. Familiarity with OSINT tools like Maltego, Shodan, and various data mining or visualization platforms is highly beneficial. Excellent written communication, critical thinking, and discretion are important soft skills for delivering clear and actionable reports in sensitive environments. These competencies ensure you can effectively collect, analyze, and communicate open-source information to support decision-making and mitigate risks in diverse organizational settings.

What are some common challenges faced by Remote Open Source Intelligence professionals?

Remote Open Source Intelligence professionals often encounter challenges such as verifying the credibility of vast amounts of publicly available information and staying updated on rapidly evolving online platforms and tools. They must develop effective strategies for filtering out misinformation and protecting their own digital footprints while working online. Additionally, collaborating with cross-functional teams and adapting to the specific intelligence needs of different clients or projects can be demanding but rewarding. Successfully managing these challenges is key to ensuring the intelligence provided is relevant, accurate, and actionable for organizational goals.

What are the most commonly searched types of Open Source Intelligence jobs in Florida? The most popular types of Open Source Intelligence jobs in Florida are:
What job categories do people searching Remote Open Source Intelligence jobs in Florida look for? The top searched job categories for Remote Open Source Intelligence jobs in Florida are:
What cities in Florida are hiring for Remote Open Source Intelligence jobs? Cities in Florida with the most Remote Open Source Intelligence job openings:
Infographic showing various Remote Open Source Intelligence job openings in Florida as of June 2026, with employment types broken down into 8% As Needed, and 92% Full Time. Highlights an 100% Remote job distribution, with an average salary of $78,199 per year, or $37.6 per hour.

Senior Agentic (AI) Engineer

Worth AI

Miami, FL โ€ข On-site, Remote

$99K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 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