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Temporary Large Language Model Llm Jobs in Alabama

Jr. Software Developer

Huntsville, AL · On-site

$62K - $81K/yr

... Large Language Model (LLM) technologiesCreate scalable data models and services that support analytics, reporting, and digital engineering initiativesCollaborate with systems engineers, software ...

This role supports the development of data-intensive web applications that combine Python backends, React/TypeScript front ends, and large language model (LLM) capabilities using retrieval-augmented ...

This role supports the development of data-intensive web applications that combine Python backends, React/TypeScript front ends, and large language model (LLM) capabilities using retrieval-augmented ...

This role supports the development of data-intensive web applications that combine Python backends, React/TypeScript front ends, and large language model (LLM) capabilities using retrieval-augmented ...

Systems Architect

Huntsville, AL

$239K/yr

Hands-on experience with Generative AI and Large Language Model (LLM) platforms, including Azure OpenAI, OpenAI, Anthropic, Palantir, or similar technologies. * Experience supporting software ...

Systems Architect

Huntsville, AL · On-site

$239K/yr

Hands-on experience with Generative AI and Large Language Model (LLM) platforms, including Azure OpenAI, OpenAI, Anthropic, Palantir, or similar technologies. * Experience supporting software ...

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Temporary Large Language Model Llm information

What is the difference between Temporary Large Language Model Llm vs Data Scientist?

AspectTemporary Large Language Model LlmData Scientist
Required CredentialsTypically no formal degree, but expertise in AI/ML and programmingUsually requires a degree in Computer Science, Statistics, or related fields
Work EnvironmentAI development teams, research labs, tech companiesData analysis, modeling, and business insights in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, and more
Common Search & ComparisonFocuses on AI model deployment and developmentFocuses on data analysis and insights

The main difference is that a Temporary Large Language Model Llm is an AI system or model used for language processing, while a Data Scientist analyzes data to generate insights. The Llm is a tool or product, whereas the Data Scientist is a professional role that may utilize models like Llm in their work.

What are the typical challenges faced by professionals working in a temporary large language model LLM role, and how can they be addressed?

Professionals in temporary Large Language Model (LLM) roles often encounter challenges such as quickly adapting to new datasets, ensuring data privacy, and optimizing model performance within tight deadlines. Since these roles are project-based, there may be limited onboarding time, requiring a strong ability to learn and collaborate rapidly with cross-functional teams like data engineers and product managers. To succeed, it's helpful to be proactive in seeking clarification, documenting work thoroughly, and staying updated on the latest advancements in LLM technologies.

What is a temporary large language model LLM?

Temporary Large Language Model (LLM) roles involve short-term positions where individuals work with or support the development, training, or deployment of large language models like GPT or similar AI technologies. These roles may include tasks such as data annotation, prompt engineering, model evaluation, or assisting in content moderation powered by LLMs. Temporary LLM roles are often project-based and can be found in tech companies, research labs, or organizations utilizing AI for various applications. They generally require familiarity with AI concepts, attention to detail, and sometimes programming skills.

What are the key skills and qualifications needed to thrive as a temporary large language model LLM?

To thrive as a Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Proficiency with tools like Python, TensorFlow or PyTorch, and experience with cloud platforms and version control systems is typically required. Strong problem-solving skills, attention to detail, and effective communication help engineers collaborate and innovate in complex projects. These skills are crucial for developing, fine-tuning, and deploying LLMs that deliver accurate and ethical AI solutions.
What are the most commonly searched types of Large Language Model Llm jobs in Alabama? The most popular types of Large Language Model Llm jobs in Alabama are:
What are popular job titles related to Temporary Large Language Model Llm jobs in Alabama? For Temporary Large Language Model Llm jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Temporary Large Language Model Llm jobs in Alabama look for? The top searched job categories for Temporary Large Language Model Llm jobs in Alabama are:
Infographic showing various Temporary Large Language Model Llm job openings in Alabama as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

AI-Focused Red Team Operator

Millennium Corporation

Huntsville, AL • On-site

Full-time

Posted 8 days ago


Job description

Overview

Millennium is proud to be part of the Markon enterprise, a network of specialized organizations united in support of critical national security missions. This partnership strengthens our ability to deliver results by expanding our technical depth, operational reach, and access to a broader bench of proven experts, ensuring our customers continue to receive best-in-class cybersecurity support.Since 2004, Millennium has operated at the forefront of cybersecurity. Our elite team of over 300 professionals brings an unmatched record of performance across Red Team Operations, Defensive Cyber Operations, Software Engineering, and Technical Engineering. As home to the largest contingent of contracted Red Team operators supporting the Department of Defense, Millennium delivers unparalleled threat intelligence and battle-tested expertise to both DoD and federal civilian customers.

What We Believe

Millennium is an equal opportunity employer and does not discriminate or allow discrimination on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state, or local law.

Responsibilities

Millennium is hiring a skilled AI-Focused Red Team Operator to support advanced cyber operations for a government customer in the Washington, DC area (Position contingent upon contract award/additional funding). The candidate must have an active Top Secret clearance. 

The ideal candidate possesses extensive experience in offensive and defensive cybersecurity operations and is passionate about applying artificial intelligence to improve cyber mission effectiveness. Th candidate will get an opportunity to work at the forefront of AI-enabled cyber operations, combining traditional penetration testing, adversary emulation, threat hunting, and detection engineering with emerging AI technologies.

  • Conduct authorized penetration testing, adversary emulation, and Red Team assessments against enterprise, cloud, and AI-enabled environments.
  • Perform Blue Team activities including threat hunting, detection engineering, incident response support, and defensive security assessments.
  • Evaluate AI and machine learning systems for security weaknesses throughout the model lifecycle.
  • Assess Large Language Model (LLM) applications against emerging AI threats and industry frameworks such as the OWASP LLM Top 10.
  • Identify vulnerabilities involving prompt injection, retrieval-augmented generation (RAG), model manipulation, indirect prompt injection, tool abuse, data poisoning, and model extraction techniques.
  • Develop offensive tradecraft to evaluate AI-enabled systems while ensuring responsible and authorized testing practices.
  • Design and implement defensive controls including guardrails, monitoring, content filtering, evaluation frameworks, and AI-specific security controls.
  • Leverage AI technologies to improve offensive and defensive cyber operations through automation, large-scale reconnaissance, code analysis, detection engineering, report generation, and security analytics.
  • Collaborate with cybersecurity engineers, analysts, and stakeholders to improve organizational resilience against emerging AI-enabled threats.
  • Produce high-quality technical documentation, assessment reports, and executive briefings.

AI Engineering & Automation

Successful candidates should demonstrate experience building or integrating AI-assisted security workflows, including:

  • Agentic workflows for security operations and incident response
  • Automated alert triage and enrichment
  • Detection tuning and threat hunting using AI
  • AI-assisted report generation and documentation
  • Secure integration of LLMs into cybersecurity workflows
  • Evaluation and testing of security-focused language models
Qualifications
  • Active Top Secret security clearance.
  • Bachelor's and total 5+ years experience. Additonal 4+ YoE would be considered in lieu of degree.
  • Experience conducting Red Team operations, penetration testing, or adversary emulation.
  • Design, develop, and evaluate AI agents capable of automating routine penetration testing tasks within authorized environments, employing strict operational guardrails, human oversight, and defined rules of engagement to ensure safe, controlled, and repeatable security assessments.
  • Experience supporting Blue Team operations including threat hunting, detection engineering, incident response, or security operations.
  • Strong understanding of enterprise networking, operating systems, identity management, cloud technologies, and modern attack methodologies.
  • Experience developing scripts or automation using Python, PowerShell, Bash, or similar languages.
  • Familiarity with AI/ML concepts, Large Language Models, and AI security risks.
  • Strong written and verbal communication skills.
Preferred Qualifications: Experience with one or more of the following:
  • AI Red Teaming
  • Prompt injection testing
  • Retrieval-Augmented Generation (RAG) security
  • Adversarial machine learning
  • Model evasion and data poisoning
  • AI governance and secure model deployment
  • MITRE ATT&CK
  • MITRE ATLAS
  • OWASP LLM Top 10
  • NIST AI Risk Management Framework (AI RMF)

One or more of the following certifications are desirable:

  • CISSP or CEH or OSCP or GPEN or GCIH or PNPT or Security+ or AI Security coursework or certifications (e.g., AI Security Fundamentals, LLM Red Teaming, or equivalent training)
  •  
Business Development

Assist with Business Development activities as required to support Millennium's strategic business objectives, which may include but not limited to participation in technical interviews, creation of technical documentation, general proposal writing support and proposal color reviews.

Physical Requirements
  • Must be comfortable with prolonged periods of sitting at a desk and working on a computer.
  • Must be able to lift up to 10-15 pounds at a time.
COMPENSATION:

$130,000-$133,000

The salary range provided for this position is intended as a general guideline and does not guarantee a specific salary or compensation amount. Final compensation will be determined based on a variety of factors, including, relevant education, experience, knowledge, skills, and abilities.

Employment Type: OTHER