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Remote Ai Engineer Jobs in Brandon, FL (NOW HIRING)

Senior Agentic (AI) Engineer

Tampa, FL ยท On-site +1

$98K - $135K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... 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 Remote

$107K - $146K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... 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

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Principal AI Engineer

Saint Petersburg, FL ยท On-site +1

$180K - $200K/yr

About the Position We're looking for a Principal AI Engineer to help build the future of NextNet AI ... Remote Tuesdays & Thursdays * Medical, Dental & Vision Insurance * 401(k) with 3% company match

Principal AI Engineer

Saint Petersburg, FL ยท On-site +1

$180K - $200K/yr

About the Position We're looking for a Principal AI Engineer to help build the future of NextNet AI ... Remote Tuesdays & Thursdays * Medical, Dental & Vision Insurance * 401(k) with 3% company match

Remote - United States only. About the role: Ottimate is building the AI-native future of accounts ... As Director of AI Engineering, you will own the full AI and ML layer of our product - from invoice ...

Cyber AI Security Manager

Tampa, FL ยท On-site +1

$104K - $141K/yr

... remote work policy, and a supportive environment that prioritizes sustainable, long-term performance. About the Role The Cyber AI Security Manager sits at the intersection of AI engineering and ...

Senior Software Engineer (Remote)

Tampa, FL ยท Remote

$115K - $152K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Ability to use AI/ML or generative AI to solve security problems, such as automated threat ...

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Remote Ai Engineer information

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How much do remote ai engineer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for remote ai engineer in Brandon, FL is $46.60, according to ZipRecruiter salary data. Most workers in this role earn between $37.60 and $54.09 per hour, depending on experience, location, and employer.

What is a remote AI engineer?

A Remote AI Engineer is a professional who designs, develops, and deploys artificial intelligence models and systems while working from a remote location. They use machine learning, deep learning, and data science techniques to build AI-powered applications, improve automation, and solve complex problems. Responsibilities often include data preprocessing, model training, fine-tuning, and integrating AI solutions into products or services. These engineers collaborate with cross-functional teams online, using cloud-based tools and platforms for development and deployment. Remote AI Engineers typically need strong programming skills in languages like Python, experience with frameworks like TensorFlow or PyTorch, and familiarity with cloud computing and MLOps.

What is it like collaborating with team members as a remote AI engineer?

As a Remote AI Engineer, collaboration typically occurs through virtual meetings, code reviews, shared documentation, and messaging platforms like Slack or Teams. You will work closely with data scientists, product managers, and software engineers to define requirements, design solutions, and integrate AI models into products or services. Strong communication and proactive reporting are highly valued to ensure project alignment and seamless progress. Effective collaboration in a remote setting not only enhances project outcomes but also fosters professional growth and a sense of team cohesion.

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Senior Agentic (AI) Engineer

Worth AI

Tampa, FL โ€ข On-site, Remote

$98K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


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