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AI Engineer

Company:
Remedy Technological Services L P
Location:
Killeen, TX, 76541
Posted:
June 28, 2025
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Description:

Job Description

Description:

About Centex Technologies

Centex Technologies is at the forefront of implementing AI-driven solutions across diverse industries. We help our clients harness the power of artificial intelligence to solve their most complex business challenges.

Position Overview

The Forward Deployed AI Engineer will work directly with Centex Technologies' customers to understand their greatest problems and design AI-driven solutions. This role involves building LLM workflows on a large scale, implementing them into production environments, and driving real-world impact for our clients. You will function similar to a hands-on AI startup CTO, owning the delivery of high-stakes projects with minimal supervision.

Key Responsibilities

Work directly with customers to quickly understand their greatest problems and design data-driven AI solutions

Build and deploy LLM workflows at scale in real-world production environments

Interact with customers to understand their needs and help set their AI strategy

Apply an engineering mindset to deliver production solutions with Generative AI, data processing pipelines, and advanced analytics tools

Focus on solving real business problems rather than academic benchmarks

Unpack complex problems and understand the costs and consequences of potential solutions

Learn and implement new technologies and languages as needed for project success

Take ownership of projects from beginning to end, working through any obstacles encountered

Collaborate internally with cross-functional teams of technical and non-technical individuals

Contribute learnings from the field back to Centex Technologies' product suiteQualifications

Bachelor's degree or higher in Computer Science, Mathematics, Software Engineering, Physics, Machine Learning, or related technical field

1+ years of relevant, post-college work experience in AI/ML implementation

Past experience building solutions with LLMs and a deep understanding of the overall Generative AI landscape

Strong foundation in Machine Learning basics (Evaluation, Training, Problem Decomposition)

Proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar

Highly analytical mindset with proven ability to solve complex technical problems

Experience working with large-scale data systems

Demonstrated ability to collaborate effectively in teams of technical and non-technical individuals

Comfort working in rapidly changing environments with dynamic objectives

Strong communication skills for technical discussions and executive presentations

Prior experience in consulting, customer-facing roles, or technical implementation preferredPosition Details

Job Title: Forward Deployed AI Engineer

Department: Operations

Reports To: Director of Operations

Location: Hybrid - Onsite

Pay Class: Full-time

Security Clearance Required: N/A

Security Clearance Sponsorship: N/APhysical Demands

This position requires the ability to sit for extended periods, operate a computer, and perform other light office tasks. The ability to lift up to 10 pounds occasionally may be required.

Work Environment

Primarily an office environment with interaction with colleagues and occasional interaction with external stakeholders.

Work Status, Schedule, Travel

Full-time

Monday – Friday

Travel up to 25% to client sites. Additional travel may be required for training or project meetings.Equal Opportunity Employer Statement

Centex Technologies is an Equal Opportunity Employer. We are committed to diversity and inclusion in our workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage all qualified individuals to apply.Requirements:

KNOWLEDGE, SKILLS, & ABILITIES (KSA)

Required Skills

Experience building solutions with LLMs and a deep understanding of the overall Generative AI landscape

Strong foundation in Machine Learning basics (Evaluation, Training, Problem Decomposition)

Strong engineering background, preferably in Computer Science, Mathematics, Software Engineering, Physics, or Machine Learning

Proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar

Highly analytical mindset with proven ability to solve complex technical problems

Experience working with large-scale data systems

Demonstrated ability to collaborate effectively in teams of technical and non-technical individuals

Comfort working in rapidly changing environments with dynamic objectives and direct iteration with users

Ability to continuously learn, work independently, and make decisions with minimal supervision

Strong communication skills for technical discussions and executive presentations

EDUCATION & EXPERIENCE

Bachelor's degree or higher in Computer Science, Mathematics, Software Engineering, Physics, Machine Learning, or related technical field

1+ years of relevant, post-college work experience in AI/ML implementation

Demonstrated experience with LLM applications and workflows in production environments

Experience with AI model evaluation, training, and problem decomposition

Project experience demonstrating the ability to translate business problems into technical solutions

Experience working directly with stakeholders to understand requirements and deliver solutions

Prior experience in consulting, customer-facing roles, or technical implementation preferred

Full-time

Hybrid remote

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