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Afternoon Llm Developer Jobs (NOW HIRING)

LLM orchestration, conversation flow, tool use, and voice. Agents must understand unfamiliar ... Prototype a generative UI widget in an afternoon based on a whiteboard sketch and have something ...

LLM orchestration, conversation flow, tool use, and voice. Agents must understand unfamiliar ... Prototype a generative UI widget in an afternoon based on a whiteboard sketch and have something ...

LLM orchestration, conversation flow, tool use, and voice. Agents must understand unfamiliar ... Prototype a generative UI widget in an afternoon based on a whiteboard sketch and have something ...

Senior AI Engineer

$107K - $146K/yr

... afternoon, production by Friday - full stack, all the way to the user. You think in systems ... Lead LLM-powered products end to end using the foundation models best suited to the job: prototype ...

... LLM workflows running on Amazon Bedrock and SageMaker. This is not a "keep the lights on" devops ... That afternoon you're building a Pulumi module, improving GitHub Actions, tuning ECS workloads, or ...

$152K/yr

You'll run live sessions and office hours, give real engineering feedback on student ML ... LLM evals (eval harness, LLM-as-judge, hallucination metrics), applied fine-tuning (SFT/LoRA); AI ...

NLP/LLM stacks (Hugging Face, LangChain, vector databases, RAG patterns). * Computer-vision ... the afternoon. * Bachelor's degree in Computer Science, Engineering, or related field (or ...

Process Forward Salesforce Engineer

Chicago, IL · On-site

$57.25 - $75.75/hr

... afternoon. You've probably felt the friction of roles that keep you too far from one end or the ... Maybe you're a developer who wishes they had more say in shaping the problem. Maybe you're a ...

Process Forward Salesforce Engineer

Chicago, IL · On-site

$57.25 - $75.75/hr

... afternoon. You've probably felt the friction of roles that keep you too far from one end or the ... Maybe you're a developer who wishes they had more say in shaping the problem. Maybe you're a ...

... the same afternoon. What You'll Do * Embedded Product Delivery * Partner daily with product ... Design and deploy AI-powered capabilities-including LLM integrations, agentic workflows, and ...

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Afternoon Llm Developer information

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How much do afternoon llm developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for afternoon llm developer in the United States is $19.71, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $19.95 per hour, depending on experience, location, and employer.

What is the difference between Afternoon Llm Developer vs Afternoon Nlp Engineer?

AspectAfternoon Llm DeveloperAfternoon Nlp Engineer
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; experience with large language modelsBachelor's or Master's in Computer Science, Data Science, or related fields; experience with NLP techniques
Work EnvironmentTech companies, AI startups, research labs focusing on language modelsTech firms, AI companies, research institutions working on NLP applications
Employer & Industry UsagePrimarily in AI development teams working on LLMsInvolved in NLP projects, chatbots, and language understanding systems

Afternoon Llm Developers focus on building and fine-tuning large language models, while Afternoon Nlp Engineers work on applying NLP techniques to develop language-based applications. Both roles require similar educational backgrounds but differ in their specific focus areas within AI and language processing.

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Infographic showing various Afternoon Llm Developer job openings in the United States as of September 2026, with employment types broken down into 85% Full Time, 3% Part Time, and 12% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $40,987 per year, or $19.7 per hour.

AI Prompt & Agent Developer

San Francisco, CA • On-site

$100 - $125/hr

Other

Posted 7 days ago


Job description

Enterprise AI platform automating voice sales conversations for healthcare organizations

You'll spend mornings debugging why a clinical-recruiting agent mispronounced "anesthesiology," then afternoons rewriting system prompts until phone calls pass for human. It's QA as forensic work: listening to recordings, tracing failure trees through Python pipelines, and stress-testing voice agents against edge cases no one predicted. The goal isn't coverage metrics—it's call quality that keeps hospitals from hanging up.

What we're looking for:
  • 2+ years building or testing LLM-powered applications, with direct prompt-engineering experience
  • Proficiency in Python and TypeScript for writing test harnesses and debugging agent logic
  • Demonstrated ability to evaluate conversational AI quality beyond automated metrics—listening, scoring, iterating
  • Familiarity with healthcare compliance constraints or regulated-industry QA standards
  • On-site in San Francisco, working alongside voice engineers and sales teams in tight feedback loops
  • Must be based in the United States.
Tech stack:

Python, TypeScript

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