AI/ML Engineer (Scenario Generation, Ontology & RAG)

Huntsville, AL

Live, first seen by us 35 days ago

Pay: Pay not listedSimilar roles state $166K–$240K
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

Before you apply

Work authorization: US citizens onlyMust be a US Citizen

What you’ll work on

Full posting

Build AI applications that generate training scenarios and answer questions from approved documents
Prepare training data and fine-tune language models using domain material and instructor feedback
Validate generated scenarios against training requirements and test accuracy, response time, and safety
Integrate, release, and maintain models and supporting data with the software team
Develop trainee assessment, adaptive difficulty, and after-action review features as capabilities expand

From the employer’s posting

Build AI applications that generate training scenarios and answer questions using approved reference documents.

Prepare training data and fine-tune language models using domain material and instructor feedback.

Validate generated scenarios against training requirements and test model accuracy, response time, and safety.

Work with the software team to integrate, release, and maintain models and supporting data.

As capabilities expand, develop trainee assessment, adaptive difficulty, and after-action review features.

What you’ll bring

All qualifications

Core experience

Hands-on experience preparing training data and fine-tuning language models, including parameter-efficient methods and preference optimization using human feedback.
Strong Python skills and experience deploying models on local, CUDA-capable GPU systems.
Experience evaluating model performance and tracking experiments, model versions, and training-data history.
Experience building and evaluating retrieval-augmented generation (RAG) systems that produce reliable, expected results.
Ability to travel occasionally for test events.
Ability to obtain and maintain a Secret security clearance.

Preferred experience

Bachelor’s degree in computer science, mathematics, engineering, or a related field preferred.
Experience with knowledge graphs and ontologies, including OWL, RDF, or SPARQL.
Experience integrating speech recognition and text-to-speech or working with audio pipelines for noisy environments.
Experience with schema-constrained generation or production model-serving adapters.

Qualification wording

Hands-on experience preparing training data and fine-tuning language models, including parameter-efficient methods and preference optimization using human feedback.

Strong Python skills and experience deploying models on local, CUDA-capable GPU systems.

Experience evaluating model performance and tracking experiments, model versions, and training-data history.

Experience building and evaluating retrieval-augmented generation (RAG) systems that produce reliable, expected results.

Ability to travel occasionally for test events.

Ability to obtain and maintain a Secret security clearance.

Bachelor’s degree in computer science, mathematics, engineering, or a related field preferred. Equivalent relevant professional or military experience may substitute for a degree.

Experience with knowledge graphs and ontologies, including OWL, RDF, or SPARQL.

Experience integrating speech recognition and text-to-speech or working with audio pipelines for noisy environments.

Experience with schema-constrained generation or production model-serving adapters.

Education & alternatives

Education Requirements: - Bachelor’s degree in computer science, mathematics, engineering, or a related field preferred. Equivalent relevant professional or military experience may substitute for a degree. Desired Skills:

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Posting record

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Status in our records: Live
First seen by us: Oct 7, 202635 days ago
Recorded sightings: 41
Last seen by us: Nov 12, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,383 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 35

Similar jobs usually come down between day 8 and day 75.

At PeopleTec, jobs usually come down by about day 39.

From 5,254 similar postings that came down, and 13 of PeopleTec’s. Coming down is not always a hire.

PeopleTec is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring has slowed
Takes jobs down quickly

Hiring record

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Where the posting names them

- Hands-on experience preparing training data and fine-tuning language models, including parameter-efficient methods and preference optimization using human feedback. - Strong Python skills and experience deploying models on local, CUDA-capable GPU systems. - Experience evaluating model performance and tracking experiments, model versions, and training-data history.

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Opportunity

PeopleTec is currently seeking an AI/ML Engineer (Scenario Generation, Ontology & RAG) to support our Huntsville, AL location (ON-SITE).

PeopleTec is seeking an AI/ML Engineer in Huntsville, AL, to develop language-model applications for flight-simulator training, including scenario generation and doctrine question-and-answer capabilities. You will work with software engineers and an H-1 aviation subject matter expert to prepare training data, build retrieval-based applications, fine-tune models, and evaluate their performance for deployment.

Duties:

Build AI applications that generate training scenarios and answer questions using approved reference documents.
Prepare training data and fine-tune language models using domain material and instructor feedback.
Validate generated scenarios against training requirements and test model accuracy, response time, and safety.
Work with the software team to integrate, release, and maintain models and supporting data.
As capabilities expand, develop trainee assessment, adaptive difficulty, and after-action review features.

Qualifications

Required Skills/Experience:

Preferred experience range: 5–8 years of machine learning engineering experience, including delivery of language-model applications that retrieve information from documents, produce structured outputs, and use software tools. Demonstrated technical ability will be considered regardless of total years of experience.
Hands-on experience preparing training data and fine-tuning language models, including parameter-efficient methods and preference optimization using human feedback.
Strong Python skills and experience deploying models on local, CUDA-capable GPU systems.
Experience evaluating model performance and tracking experiments, model versions, and training-data history.
Experience building and evaluating retrieval-augmented generation (RAG) systems that produce reliable, expected results.
Ability to travel occasionally for test events.
Must be a U.S. Citizen
Ability to obtain and maintain a Secret security clearance.

Education Requirements:

Bachelor’s degree in computer science, mathematics, engineering, or a related field preferred. Equivalent relevant professional or military experience may substitute for a degree.

Desired Skills:

Experience with knowledge graphs and ontologies, including OWL, RDF, or SPARQL.
Experience integrating speech recognition and text-to-speech or working with audio pipelines for noisy environments.
Experience with schema-constrained generation or production model-serving adapters.
Experience in aviation, tactical training, or simulation.

Overview

People First. Technology Always.

PeopleTec, Inc. is an employee-owned small business founded in Huntsville, AL that provides exceptional customer support by employing and retaining a highly skilled workforce.

Culture: The name "PeopleTec" was deliberately chosen to remind us of our core value system - our people. Our company's foundation was built on placing our employees and customers first. With an award-winning atmosphere, we have matured into a company that boasts the best and brightest across multiple technical fields.

Career: At PeopleTec, we value your long-term goals. Whether it's through our continuing-education opportunities, our robust training programs, or our "People First" benefits package, PeopleTec truly believes that our best investments are our people.

Come Experience It.

#cjpost #dpost

EEO Statement

PeopleTec, Inc. is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its job application procedures. If you have any difficulty using our online system and you need an accommodation due to a disability, you may use the following email address, applicationhelp@peopletec.com and/or phone number (256.319.3800) to contact us about your interest in employment with PeopleTec, Inc.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, citizenship, ancestry, marital status, protected veteran status, disability status or any other status protected by federal, state, or local law. PeopleTec, Inc. participates in E-Verify.

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