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Llm Developer Jobs in Iowa (NOW HIRING)

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

... LLM optimization - Implementing data integration solutions using AWS, Azure, GCP - Utilizing AWS CloudFormation, Azure Resource Manager, Terraform - Building and deploying DevOps pipelines with cloud ...

Software Engineer, Backend

West Des Moines, IA ยท On-site

$152K - $219K/yr

Experienceutilizingautomated testing frameworks and LLM-based coding assistants within the software development lifecycle. Preferred Qualifications * Programming experience in Rust, Scala, Python.

As a Senior Manager in AI Security Engineering, you will define and lead the firm's approach to ... Deep understanding of AI/LLM risks (e.g., prompt injection, data exposure, adversarial attacks) and ...

As a Senior Manager in AI Security Engineering, you will define and lead the firm's approach to ... Deep understanding of AI/LLM risks (e.g., prompt injection, data exposure, adversarial attacks) and ...

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Llm Developer information

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How much do llm developer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for llm developer in Iowa is $47.12, according to ZipRecruiter salary data. Most workers in this role earn between $37.02 and $57.12 per hour, depending on experience, location, and employer.

What is the salary of LLM developer?

The salary of an LLM developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the complexity of projects. Skilled developers with expertise in machine learning, natural language processing, and relevant tools like Python and TensorFlow tend to earn higher salaries.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI researchers or machine learning executives, often involving advanced skills in deep learning, large language models, and extensive experience. These positions may include leadership responsibilities, require specialized certifications, and offer compensation packages that include salary, bonuses, and stock options. Such roles are usually found in top tech companies or AI-focused organizations and demand a strong track record of innovation and technical expertise.

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 engineers make $500,000?

Senior machine learning engineers, including those developing large language models (LLMs), can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and work at top tech companies. High compensation often includes base salary, bonuses, and stock options, particularly in competitive markets or leadership roles.

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 are LLM developers?

LLM developers are software engineers who design, build, and optimize large language models used in artificial intelligence applications. They typically work with machine learning frameworks, programming languages like Python, and tools such as TensorFlow or PyTorch to develop models for tasks like natural language processing and understanding.
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What cities in Iowa are hiring for Llm Developer jobs? Cities in Iowa with the most Llm Developer job openings:
Infographic showing various Llm Developer job openings in Iowa as of July 2026, with employment types broken down into 82% Full Time, 7% Part Time, 1% Temporary, and 10% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $98,007 per year, or $47.1 per hour.
Senior Agentic AI Specalist

Senior Agentic AI Specalist

Midwest Family Mutual Insurance Company

Urbandale, IA โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Description:

Position Summary

The MFM IT team has a long history of delivering and maintaining core business systems in a mid-sized Property & Casualty insurance environment. As we expand our development team and adopt new AI development tools, we are making a deliberate investment in building this capability correctly from the start. As we begin to build agentic AI capabilities within our enterprise system, we are looking for an experienced engineer with strong knowledge of agentic AI systems to help guide this effort.


The Senior Agentic AI Specialist will work closely with MFM's Principal Architect, who leads overall platform architecture, and partner with senior developers to design, implement, and improve agent-based solutions. This role will bring specialized expertise in areas where we are still developing depth, including agent orchestration, retrieval pipelines, LLM evaluation, and prompt design. This is an ongoing platform effort, not a one-time project. The work will evolve over time as we expand capabilities, integrate new tools, and improve system quality.


Our core systems are built on a Microsoft/.NET stack. As we develop our agentic AI capabilities, we expect to leverage cloud-based tooling (likely within Azure) where appropriate. We are pragmatic about using the right tools for the problem, while maintaining alignment with our existing platform and operational requirements. At Midwest Family we value practical experience, clear thinking, and the ability to apply these skills in a real-world environment.


Application Requirements  


Cover Letter and Resume: 

Please include the following in your cover letter
  • A description of an AI or agent-based system you have worked on, including your role and how you evaluated quality  
  • Your approach to reducing incorrect or unsupported outputs  
  • An example of how you supported other developers or teams in adopting AI capabilities  
  • Your physical remote work location state
  • Salary expectations


 Responsibilities:

  • Platform Architecture & Evolution: Provide input into AI-related architecture decisions. Evaluate tools, models, and approaches, and make practical recommendations based on trade-offs and outcomes.
  • Agent Lifecycle Management: Design, build, and maintain agents. Define prompts and configurations, support routing decisions, and monitor performance in production.
  • RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources. 
  • Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches across prompts, retrieval, and model behavior.
  • Evaluation & Testing: Develop and maintain evaluation approaches to measure output quality, including relevance and accuracy. Support regression testing and identify failure patterns.
  • Prompt Engineering: Create and maintain prompts for different agents. Diagnose unexpected behavior and develop reusable patterns where appropriate.
  • Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling.
  • Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production.
  • Governance & Configuration: Work with configuration across agents, prompts, and models. Ensure changes are version-controlled and reviewed.
  • Developer Support: Work with other developers to share knowledge, review designs, and establish consistent approaches.
  • Research & Evaluation: Stay current with new models and tools. Evaluate them in a structured way and recommend adoption where appropriate.
Requirements:

Education & Certification

  • College degree or Programming Certification (preferred)
  • 5+ years of equivalent work experience
Required Experience
  • Experience building or working with AI/LLM-based systems in a production or near-production environment 
  • Strong understanding of agent-based patterns (ReAct, tool usage, etc.) 
  • Experience with retrieval-based systems (RAG), vector stores, or search pipelines 
  • Familiarity with evaluating non-deterministic system outputs 
  • Experience improving system quality through testing and iteration 
  • Strong software engineering skills required. Experience with Python, TypeScript, or C# preferred 
  • Ability to work across technologies and integrate AI solutions into an existing enterprise environment 
Preferred Experience
  • Experience working with multiple LLM providers 
  • Familiarity with emerging tools and frameworks in the agentic AI space 
  • Experience integrating with enterprise systems and data sources 
  • Experience mentoring or supporting other developers 
Personal Attributes
  • Strategic thinker with strong analytical and problem-solving skills
  • Technically proficient with broad systems knowledge
  • Excellent interpersonal, written, and verbal communication skills
  • Self-directed, collaborative, and highly organized
  • Customer-oriented and able to navigate high-pressure environments
  • Flexible and adaptable in regards to learning and understanding new technologies.
  • Exceptional organizational skills and ability to keep track of multiple projects at a time.
  • Ability to conduct research into software-related issues and products.
  • Technically proficient.
  • Exceptional attention to detail.
  • Ability to work both independently and in a team-oriented, collaborative environment.
Work Conditions
  • Remote work environment following core hours 8AM-5PM Central Time
  • Overtime may be required to meet project deadlines or monitor system processes.
  • Sitting for extended periods of time.
  • Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices.
  • Minimal travel will be required for the purpose of off-site software training and team meetings.
  • Physically able to participate in virtual and in-person training sessions, presentations, and meetings.

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