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Intern Ai Agent Developer Jobs in Alabama (NOW HIRING)

Genesys

  • Medical

  • Dental

  • Vision

  • Retirement

Design and implement multi-agent systems leveraging LLMs, tool-use frameworks, and orchestration ... Software Engineering & AI System Architecture * Design and build scalable AI/ML systems with a ...

Banner Defense, Inc.

AI Engineer

Huntsville, AL · On-site

$130K - $141K/yr

AI Engineer Join our team! Be a part of our passionate and determined team on a mission to use our ... Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing ...

Banner Defense, Inc.

AI Engineer

Huntsville, AL · On-site

AI Engineer Join our team! Be a part of our passionate and determined team on a mission to use our ... Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing ...

Banner Defense, Inc.

AI Engineer

Huntsville, AL · On-site

$130K - $141K/yr

Banner Defense is looking for a talented AI Engineer to join our team! In this role you will get to ... Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing ...

Leidos

Engineering Intern

Huntsville, AL · On-site

$48K - $86K/yr

... developer disciplines with a particular focus on solving problems. Candidate will be expected to ... developing AI/ML solutions. * Preference may be given to candidates with one or more of the ...

Ignite Fueling Innovation

AI ENGINEER

Huntsville, AL

Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing ... Advise on AI engineering considerations such as latency, reliability, observability, testability ...

IGNITE

AI ENGINEER

Huntsville, AL · On-site

Job Title AI ENGINEER Location Huntsville, AL 35806 US (Primary) Category Engineering Job Type ... agent testing harnesses. • Exposure to model hosting, inference pipelines, or cloud-based AI ...

Parsons Corporation

AI Engineer

Huntsville, AL · On-site

$134K - $241K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Parsons is looking for an amazingly talented AI Engineer to join our team! In this role you will ... Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing ...

Parsons

AI Engineer

Huntsville, AL

$134K - $241K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Parsons is looking for an amazingly talented AI Engineer to join our team! In this role you will ... Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing ...

Transform9

Senior Implementation Manager

Birmingham, AL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... AI agent their patients rely on from day one. What you'll do * Own a portfolio of concurrent ... Coordinate practice IT, our integration engineers, and product to clear blockers fast * Train front ...

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Showing results 21-40

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Intern Ai Agent Developer information

What does an Intern AI Agent Developer do?

An Intern AI Agent Developer assists in designing, developing, and testing artificial intelligence agents, which are software programs capable of performing tasks that typically require human intelligence. Their responsibilities may include writing code, training machine learning models, analyzing data, and supporting senior developers in research or project work. Interns in this role gain hands-on experience with AI frameworks and tools while learning best practices in software engineering and artificial intelligence development.

What types of projects and tasks can an Intern AI Agent Developer expect to work on during their internship?

As an Intern AI Agent Developer, you will typically collaborate with experienced engineers and data scientists to design, develop, and test components of AI-driven systems. Your daily tasks may include writing and debugging code, assisting in training machine learning models, and running experiments to evaluate agent performance. Interns often contribute to documentation, participate in code reviews, and may even help implement features under supervision. This role provides a hands-on learning environment where you can develop both technical and teamwork skills, while gaining exposure to the latest AI development tools and practices.

What is the difference between Intern Ai Agent Developer vs Intern Machine Learning Engineer?

AspectIntern Ai Agent DeveloperIntern Machine Learning Engineer
Required CredentialsRelevant coursework, basic programming skills, familiarity with AI toolsRelevant coursework, programming skills, understanding of ML algorithms
Work EnvironmentTech companies, AI startups, research labsTech companies, research institutions, AI startups
Employer & Industry UsageAI development teams, chatbot and virtual assistant projectsData science teams, predictive modeling projects

Intern Ai Agent Developers focus on building and improving AI agents like chatbots and virtual assistants, often requiring knowledge of AI frameworks. Intern Machine Learning Engineers work on developing ML models for various applications, emphasizing data handling and algorithm implementation. Both roles are common in tech and AI industries, but they differ in specific focus areas and skill sets.

What are the key skills and qualifications needed to thrive as an Intern AI Agent Developer?

To thrive as an Intern AI Agent Developer, you need a solid understanding of programming languages like Python, basic knowledge of machine learning concepts, and enrollment in or completion of a relevant degree such as computer science. Familiarity with tools and frameworks such as TensorFlow, PyTorch, Git, and cloud platforms is typically expected. Curiosity, strong problem-solving skills, and the ability to collaborate within a team help you stand out. These skills are crucial for successfully contributing to AI projects, learning quickly in a dynamic field, and effectively supporting development teams.

What are the most commonly searched types of Ai Agent Developer jobs in Alabama?

The most popular types of Ai Agent Developer jobs in Alabama are:

What are popular job titles related to Intern Ai Agent Developer jobs in Alabama?

For Intern Ai Agent Developer jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Intern Ai Agent Developer jobs in Alabama look for?

The top searched job categories for Intern Ai Agent Developer jobs in Alabama are:

What cities in Alabama are hiring for Intern Ai Agent Developer jobs?

Cities in Alabama with the most Intern Ai Agent Developer job openings:

Intern Ai Agent Developer jobs near you
Infographic showing various Intern Ai Agent Developer job openings in Alabama as of August 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

Network Engineer, AI Infrastructure Repair

Meta

Montgomery, AL

$193K/yr

Full-time

Re-posted 10 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies

Job description

Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure depends on reliable, high-performance network engineering. In this role, you will lead the strategy and execution for AI network repair and remediation programs, ensuring that the high-performance fabrics underpinning Meta's AI training and inference clusters remain operational, resilient, and optimized. You will drive cross-functional initiatives spanning network deployment, fault diagnosis, and repair automation across Meta's AI data center environments, shaping the systems and processes that keep AI infrastructure at scale.
Network Engineer, AI Infrastructure Repair Responsibilities:
  • Define and drive the long-term strategy for AI network repair and remediation programs across large-scale data center environments supporting machine learning workloads
  • Lead root cause analysis and resolution of complex network faults affecting high-performance AI training and inference fabrics, including RDMA, high-speed Ethernet, and optical interconnect layers
  • Develop and champion novel approaches to network fault detection, automated remediation, and repair workflow optimization for AI cluster infrastructure
  • Partner with hardware, software, and data center operations teams to align network repair programs with AI infrastructure deployment roadmaps and capacity plans
  • Establish and refine operational frameworks, runbooks, and tooling for network repair at scale, reducing mean time to repair across AI fabric environments
  • Identify systemic reliability risks in AI network infrastructure and drive cross-functional initiatives to address them before they impact production workloads
  • Influence the design of next-generation AI network architectures by contributing repair and reliability insights to hardware and topology decisions
  • Leverage AI-driven analytics and automation tools to redesign repair workflows, accelerating fault identification and resolution across distributed network environments
  • Build and maintain strategic relationships with internal engineering, operations, and vendor partners to ensure repair programs scale with AI infrastructure growth
  • Communicate program status, risk, and strategic recommendations to engineering leaders and cross-functional stakeholders through structured reporting and executive briefings

Minimum Qualifications:
  • Experience influencing technical direction and organizational strategy through data-driven analysis, written proposals, and stakeholder alignment across engineering and operations teams
  • Experience leading cross-functional programs that span network operations, hardware deployment, and infrastructure reliability at data center scale
  • Experience developing and driving strategy for network fault management, repair automation, or remediation programs in production environments
  • Experience designing, deploying, or operating high-speed network fabrics used in AI or machine learning infrastructure, including technologies such as RDMA over Converged Ethernet, InfiniBand, or high-density optical interconnects
  • 12+ years of experience in network engineering, with a focus on large-scale data center or high-performance computing network environments

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with network telemetry platforms, observability tooling, or AI-assisted anomaly detection applied to large-scale fabric environments
  • Experience building or scaling repair operations programs, including workforce planning, tooling development, and process standardization across multiple data center sites
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Track record of contributing to network hardware or topology design reviews, translating operational repair insights into upstream engineering improvements
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Familiarity with AI accelerator interconnect architectures and the network reliability requirements of distributed training workloads at hyperscale

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$193,000/year to $271,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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