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Llm Developer Jobs in Reading, PA (NOW HIRING)

... DevOps, or Site Reliability Engineering (SRE). * Cloud Expertise: Deep proficiency in AWS (IAM ... AI/LLM Interest: Familiarity with the LLM lifecycle, including prompt execution, token usage, and ...

... DevOps, or Site Reliability Engineering (SRE). Cloud Expertise: Deep proficiency in AWS (IAM ... AI/LLM Interest: Familiarity with the LLM lifecycle, including prompt execution, token usage, and ...

AI Agents, AI/LLM, AWS Bedrock Architect End-to-end AI/ML platforms, Cloud infrastructure, RAG etc ... The ideal candidate will combine deep expertise in AI engineering, cloud infrastructure, and ...

... LLM solutions. The role requires a hands-on technical leader with expertise in AI engineering, cloud infrastructure, software development, and advanced agentic workflows using AWS Agent Core. The ...

... LLM solutions. This role requires a hands-on technical leader who can architect end-to-end AI/ML ... The ideal candidate will combine deep expertise in AI engineering, cloud infrastructure, and ...

... LLM solutions. This role requires a hands-on technical leader who can architect end-to-end AI/ML ... The ideal candidate will combine deep expertise in AI engineering, cloud infrastructure, and ...

Llm Developer information

See Reading, PA salary details

$24

$48

$76

How much do llm developer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for llm developer in Reading, PA is $48.18, according to ZipRecruiter salary data. Most workers in this role earn between $37.84 and $58.41 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 as an LLM Developer?

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 is the role of a large language model developer?

A large language model developer designs, trains, and fine-tunes AI models that understand and generate human language. They work with machine learning frameworks, manage large datasets, and optimize models for accuracy and efficiency, often requiring knowledge of programming, deep learning, and natural language processing techniques.

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What cities near Reading, PA are hiring for Llm Developer jobs?

Cities near Reading, PA with the most Llm Developer job openings:

Infographic showing various Llm Developer job openings in Reading, PA as of August 2026, with employment types broken down into 82% Full Time, 5% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $100,206 per year, or $48.2 per hour.

AWS AgentCore Platform Engineer

Reading, PA • On-site

MethodHub
IT Services • 51 - 200 employees

Other

Re-posted 3 days ago


Job description

Role: AWS AgentCore Platform Engr

Location: Reading, PA (Hybrid 2-3 days/wk)

Interview: Virtual

Requirements:

  • Experience: 8+ years in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).
  • Cloud Expertise: Deep proficiency in AWS (IAM, CloudWatch, Bedrock, Lambda).
  • Observability Tools: Proven experience with Dynatrace, Jaeger, or Honeycomb, and distributed tracing standards.
  • AI/LLM Interest: Familiarity with the LLM lifecycle, including prompt execution, token usage, and frameworks like LangChain or AgentCore.
  • Automation: Advanced experience with Terraform and CI/CD pipeline design.
  • Collaboration: Experience working in an Agile environment with integrated tools like Microsoft Teams and Confluence.
  • User this when submitting candidates:
  • Also please check if the next candidate has some experience with at least 50% of below items

Mandatory Skills:

  • Implementation of Agents on Agentcore runtime
  • Implementation of Agentic SDLC in Agentcore
  • Understanding of Strands or any other Agentic AI framework like Langraph, Langchain or Crew AI
  • Implementation of Bedrock Knowledge Base
  • Implementation of Knowledge Graph
  • Implementation of MCP servers in Agentcore
  • Implementation of Agentcore Gateway
  • Implementation of Agentcore Identity
  • Implementation of Agentic AI Observability
  • Implementation of Agentcore Evaluations
  • Implementation of AWS Bedrock
  • Implementation of AWS Bedrock Inference Profile
  • Implementation of AWS Sagemaker
  • AWS Services (Cloud) in General
  • Terraform