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Remote Python Llm Jobs in Largo, FL (NOW HIRING)

Worth AI

Senior Agentic (AI) Engineer

Tampa, FL · Remote

$107K - $146.90K/yr

Python, Node.js, TypeScript * Agent / LLM frameworks: LangGraph, LangChain, Claude Agent SDK, MCP ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Worth AI

Senior Agentic (AI) Engineer

Tampa, FL · On-site +1

$98.80K - $135.60K/yr

Python, Node.js, TypeScript * Agent / LLM frameworks: LangGraph, LangChain, Claude Agent SDK, MCP ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Outlier AI

LLM Integration Engineer (Remote)

Tampa, FL · Remote

Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. * Practical experience building for live, non-mocked environments and ...

Outlier AI

OpenClaw LLM Engineer (Remote)

Tampa, FL · Remote

Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. * Practical experience building for live, non-mocked environments and ...

Channel Partners

Senior AI Application Engineer

Tampa, FL · On-site +1

$120K - $140K/yr

... LLM frameworks. We're looking for someone with 4-8+ years of software engineering experience ... This role follows a hybrid, remote-flexible work model with opportunities for onsite collaboration ...

Channel Partners

Senior AI Application Engineer

Tampa, FL · On-site +1

$140K/yr

... LLM frameworks. We're looking for someone with 4-8+ years of software engineering experience ... This role follows a hybrid, remote-flexible work model with opportunities for onsite collaboration ...

Quora

AI Automation Engineer -Remote

Saint Petersburg, FL · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ...

Quora

AI Automation Engineer -Remote

Tampa, FL · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ...

NTT DATA Services

Senior Data Scientist

Tampa, FL · On-site +1

... Python and/or R to analyze disparate datasets. Preferred Skills: Master's degree preferred ... Undergraduate or Graduate degree preferred 1+ year of Gen AI / LLM hands on development experience ...

NTT DATA Services

Senior Data Scientist

Tampa, FL · On-site +1

... using Python and/or R to analyze disparate datasets. Preferred Skills: • Master's degree ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

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Remote Python Llm information

See Largo, FL salary details

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How much do remote python llm jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote python llm in Largo, FL is $50.11, according to ZipRecruiter salary data. Most workers in this role earn between $41.30 and $56.92 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Python LLM Engineer, and why are they important?

To thrive as a Remote Python LLM Engineer, you need strong proficiency in Python programming, experience with large language models (LLMs), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These skills ensure you can develop, deploy, and maintain advanced language models efficiently while working independently in distributed teams.

What are some common collaboration methods used by Remote Python LLM engineers when working with cross-functional teams?

Remote Python LLM engineers frequently collaborate with data scientists, product managers, and other developers through virtual meetings, code reviews, and shared documentation platforms. Tools like Slack, GitHub, and Jira are often used to ensure smooth communication and project tracking, despite working across different time zones. Regular stand-ups and sprint planning sessions help align objectives and keep everyone updated on progress. Proactive communication and clear documentation are key to overcoming the challenges of remote, distributed teamwork in this role.

What is a Remote Python LLM job?

A Remote Python LLM job typically involves working with large language models (LLMs) like GPT or similar AI technologies using the Python programming language, while operating remotely. Professionals in this role develop, fine-tune, and deploy machine learning models, especially those focused on natural language processing (NLP) tasks. Responsibilities may include building Python applications that integrate with LLMs, data preprocessing, and collaborating with teams across different locations. The remote aspect allows for flexible work arrangements and access to global opportunities.
What are popular job titles related to Remote Python Llm jobs in Largo, FL? For Remote Python Llm jobs in Largo, FL, the most frequently searched job titles are:
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Remote Python Llm jobs near you

Senior Agentic (AI) Engineer

Worth AI

Tampa, FL • Remote

$107K - $146.90K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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