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Llm Developer Jobs in Hawaii (NOW HIRING)

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HAI Hawaii - MLOps Software Engineer

Honolulu, HI · On-site

$140 - $225/hr

We have an exciting opportunity for an MLOps Software Engineer to join a customer on‑site as an ... Familiar with large language model (LLM)-enabled agents, symbolic AI, planning algorithms ...

New

Bigbear.ai

Data Scientist - Journeyman

Honolulu, HI · On-site

$140 - $210/hr

... engineers, ensuring solutions are scalable, maintainable, and reproducible in secure environments * Apply NLP and modern AI techniques (including governed LLM/GenAI patterns where approved) to ...

Bigbear.ai

Data Scientist - Journeyman

Honolulu, HI · On-site

$119K/yr

... engineers, ensuring solutions are scalable, maintainable, and reproducible in secure environments * Apply NLP and modern AI techniques (including governed LLM/GenAI patterns where approved) to ...

BigBear.ai

Data Scientist - Journeyman

Honolulu, HI · On-site

... engineers, ensuring solutions are scalable, maintainable, and reproducible in secure environments * Apply NLP and modern AI techniques (including governed LLM/GenAI patterns where approved) to ...

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Llm Developer information

See Hawaii salary details

$26

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How much do llm developer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for llm developer in Hawaii is $52.12, according to ZipRecruiter salary data. Most workers in this role earn between $40.96 and $63.17 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.

What are popular job titles related to Llm Developer jobs in Hawaii?

For Llm Developer jobs in Hawaii, the most frequently searched job titles are:

What job categories do people searching Llm Developer jobs in Hawaii look for?

The top searched job categories for Llm Developer jobs in Hawaii are:

Llm Developer jobs near you
Infographic showing various Llm Developer job openings in Hawaii as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $108,409 per year, or $52.1 per hour.

Artificial Intelligence and Machine Learning Engineer, Senior

Booz Allen Hamilton

Wahiawa, HI

$99K - $225K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted yesterday

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

10th of 72 rated business consultants

Job description

Artificial Intelligence and Machine Learning Engineer, Senior

The Opportunity:

Cyber and intelligence analysts rely on multistep workflows that are timesensitive, detailrich, and critical to national security. As an Artificial Intelligence and Machine Learning Engineer, you will work directly with mission users to capture these workflows, document operational decision points, and translate them into effective AIenabled capabilities.

You will design and implement solutions that may include LLMpowered workflows, agentbased automation, or hybrid approaches depending on mission needs. Your work will streamline analytical tasks, improve data accessibility, and support rapid, informed decisionmaking in hightempo environments.

You'll collaborate with operators, analysts, developers, and mission leadership to ensure solutions integrate cleanly with existing systems, perform reliably in production, and adhere to the security and governance expectations of classified environments.

Join us. The world can't wait.

You Have:

  • Experience capturing user workflows and translating them into structured process maps, automation requirements, or executable logic

  • Experience designing or implementing LLMbasedor agenticworkflows, including multistep reasoning, tool integrations, and orchestration

  • Experience integrating AI systems with APIs, enterprise data stores, or mission platforms

  • Experience with programming languages such as Python

  • TS/SCI clearance with a polygraph

  • Bachelor's degree and 3+ years of experience in AI and ML engineering, data science, or software engineering within cyber, intelligence, or national security environments, or6+ years of experience in AI and ML engineering, data science, or software engineering within cyber, intelligence, or national security environments in lieu of a degree

Nice If You Have:

  • Experience engineering AI capabilities in onpremise or multiclassification environments

  • Experience with AWSor Azure, including work in restricted or classified environments

  • Experience with AI or LLM development framework such as LangChain, LangGraph, PydanticAI, or CrewAI

  • Experience with ML frameworks such as PyTorch, TensorFlow, vLLM, or llama.cpp

  • Experience with cyber or intelligence workflows, operational data types, or missionoriented analytical processes

  • Master's degree in AI, ML, Data Science, Cybersecurity, or Engineering

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information;TS/SCIclearance with polygraph isrequired.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

What Booz Allen Hamilton employees say

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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