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Llm Developer Jobs (NOW HIRING)

Upstart

Principal Engineer, LLM

As a Principal Engineer - GenAI/LLM, you will provide technical leadership across multiple cross-functional teams, shaping the vision, architecture, and adoption strategy for our new GenAI platform ...

AMSYS Talent

LLM Infrastructure Engineer

Houston, TX · On-site

$97.10K - $127.40K/yr

We are looking for a Senior Python / AI API Engineer to build and deploy production-grade services powering Large Language Model (LLM) applications. This role focuses on developing high-performance ...

EnCharge AI

LLM Inference Deployment Engineer

$180K - $240K/yr

About the Role EnCharge AI is seeking an LLM Inference Deployment Engineer to optimize, deploy, and scale large language models (LLMs) for high-performance inference on its energy efficient AI ...

Apple

Machine Learning Engineer - LLM

Cupertino, CA · On-site

... engineering, and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM).Masters in Machine Learning, Artificial intelligence, Computer Science, Statistics ...

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How much do llm developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for llm developer in the United States is $50.17, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $60.82 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive in the Llm Developer position, and why are they important?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What are the typical daily tasks and responsibilities of an LLM Developer?

As an LLM Developer, your daily responsibilities often include designing, fine-tuning, and evaluating large language models to meet specific application needs. You may work on tasks such as data preprocessing, model training, performance benchmarking, and error analysis, frequently collaborating with data scientists, research engineers, and product managers. Keeping up to date with the latest advancements in NLP and integrating new techniques into production models is also a key part of the role. These tasks are usually performed in a team-oriented environment where clear communication and iterative experimentation are highly valued.

What is the salary of LLM engineer?

The salary of an LLM (Large Language Model) engineer typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and NLP can earn higher compensation, often exceeding $200,000 with bonuses and stock options.
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Llm Developer jobs near you

Junior AI Developer (Claude AI) - On-Site Only

United Placement Group

Bradenton, FL • On-site

$60.70K - $78.90K/yr

Contractor

Medical, PTO

Posted 22 days ago

Job description

Full-Time In-Office Growth Opportunity
About Us
We're building a small, fast-moving team focused on practical AI agents that actually help people get real work done. You'll work at the intersection of Claude, Python, and modern product design-creating and integrating AI agents into internal tools, customer-facing experiences, and creative workflows.
This is a full-time, on-site role (not remote), ideal for someone who's been experimenting with LLMs and wants to grow into a strong applied AI/LLM engineer in a collaborative, hands-on environment.
Role Summary
As a Junior AI Developer (Claude AI), you will help build and refine AI agents powered by Claude, integrate them with Python back-ends and third-party APIs, and partner closely with designers and other stakeholders. You'll have support from senior engineers, but you'll also own smaller features end-to-end-from prototype to production.
If you want to be in the room, learn fast, and grow your skills every week, this role is for you.
What You'll Do
  • Implement and maintain Claude-powered workflows and agents using Python.
  • Call LLM APIs (Claude and others), parse responses, and integrate them into internal tools or web applications.
  • Collaborate with senior engineers to connect agents to external tools, REST APIs, databases, and other services.
  • Help with prompt design and iteration-testing prompts, contexts, and settings to boost reliability and quality.
  • Assist in building simple context-augmented / RAG-style workflows (feeding documents or data into LLMs in a controlled way).
  • Write clean, readable Python code with basic tests, logging, and error handling.
  • Work closely with designers and non-technical stakeholders to turn ideas into AI-powered features and tools.

What We're Looking For
  • 1-2+ years of programming experience (professional, internship, or strong project work) with solid Python skills.
  • Some hands-on experience with large language models (Claude, ChatGPT, Gemini, etc.)-projects, coursework, or personal experimentation all count.
  • Basic experience calling web APIs (REST/JSON) and handling JSON data in Python.
  • Familiarity with core LLM concepts: prompts, tokens, context windows, and issues like hallucinations.
  • Comfort using Git and working in a collaborative development workflow.
  • Strong desire to learn, experiment, and improve; clear communication and willingness to ask questions.
  • Ability and willingness to work on-site full time at our office location (this is not a remote or hybrid role).

Nice to Have
  • Direct experience with Claude (Claude API, Anthropic console, or Claude-based tools).
  • Projects involving chatbots, assistants, AI agents, or workflow automation.
  • Exposure to web frameworks (FastAPI, Flask, or a front-end framework like React/Next.js).
  • Experience working with or supporting designers, content teams, or UX.
  • Basic understanding of vector databases, embeddings, or RAG-style systems (helpful but not required).

What We Offer
  • Full-time, on-site position with weekly pay.
  • Competitive compensation and benefits (health, PTO, etc.).
  • A collaborative environment that encourages growth, experimentation, and cross-functional learning.
  • Direct mentorship from more experienced AI/LLM engineers on real-world projects.
  • The opportunity to work hands-on with the latest LLM tools and workflows and to grow quickly as the team and company expand.

How to Apply
Please send your resume, a brief introduction, and links to any relevant projects (GitHub, portfolio, or demos). If you've built anything with LLMs-even small experiments-highlight those. We're especially interested in how you think, build, and learn.

Apply