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Ai Engineer Developer Jobs in Baton Rouge, LA (NOW HIRING)

iOS Engineer -Remote

Baton Rouge, LA · Remote

$61.63 - $88.47/hr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

iOS Engineer -Remote

Baton Rouge, LA · On-site

$166K - $191K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

This role contributes hands-on engineering expertise across cyber-physical modeling, vulnerability assessment, dynamic cyber defense concept development, embedded systems security, and AI/ML-based ...

Support Engineer

Baton Rouge, LA · On-site

$30 - $35/hr

Job Title - Artificial Intelligence / Machine Learning Support Engineer Remote - 06 weeks, then ... Generative AI: Experience with LLMs and Generative AI, and Cloud Products and services (e.g Vertex ...

Senior Cyber Engineer

Baton Rouge, LA · On-site

$150 - $200/hr

Senior Engineers work closely with engineering managers, LSU collaborators, and Navy sponsors to ... Understanding of AI/ML‑based anomaly detection methods for embedded systems. * Familiarity with ...

New

Direct research into AI/ML based anomaly detection methods for embedded systems, including Bayesian ... Provide engineering leadership and management including technical direction, scheduling ...

US manufacturing runs on hard-won expertise: codes, standards, decades of engineering judgment, and the people who carry it. As our AI leader you will guide us to multiply that expertise with care. A ...

US manufacturing runs on hard-won expertise: codes, standards, decades of engineering judgment, and the people who carry it. As our AI leader you will guide us to multiply that expertise with care. A ...

Showing results 41-60

Ai Engineer Developer information

See Baton Rouge, LA salary details

$20

$59

$76

How much do ai engineer developer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for ai engineer developer in Baton Rouge, LA is $59.05, according to ZipRecruiter salary data. Most workers in this role earn between $53.08 and $65.34 per hour, depending on experience, location, and employer.

What is the difference between Ai Engineer Developer vs Data Scientist?

AspectAi Engineer DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related; programming skills; knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops AI models, algorithms, and systems; often in tech or R&D teamsAnalyzes data, builds models, and interprets insights; in analytics or research teams
Employer & Industry UsageTech companies, AI startups, R&D divisionsFinance, healthcare, marketing, and tech sectors

While both roles involve working with data and machine learning, Ai Engineer Developers focus on building and deploying AI systems and algorithms, whereas Data Scientists analyze data to extract insights and inform decision-making. The roles often overlap but differ in primary responsibilities and skill emphasis.

Is AI engineer developer still in demand?

AI engineer developers are currently in high demand due to the rapid growth of artificial intelligence applications across industries. They typically require skills in machine learning, deep learning, and programming languages like Python, with many organizations seeking expertise to develop and deploy AI solutions. The role is expected to remain strong as AI continues to expand into new sectors and technologies.

What job categories do people searching Ai Engineer Developer jobs in Baton Rouge, LA look for?

The top searched job categories for Ai Engineer Developer jobs in Baton Rouge, LA are:

Intern Application Developer - Salesforce - 2027

Socket.dev

Baton Rouge, LA • On-site

$250/hr

Other

Posted 21 days ago


Job description

At IBM, you'll learn from experienced technology professionals while gaining hands‑on experience with Salesforce application development and consulting practices.

During your internship, you may have opportunities to:

  • Collaborate Across Teams: Work with cross‑functional teams to learn how requirements are gathered, support the definition of technical solutions, and contribute to project delivery under the guidance of experienced professionals.
  • Support Solution Design & Documentation: Assist in preparing technical specifications and documenting design decisions to support effective communication and collaboration.
  • Contribute to High‑Quality Software: Develop and test code with guidance, participate in code reviews, and learn software quality practices that support scalable, reusable solutions.
  • Develop Salesforce Applications: Contribute to Salesforce‑based customer relationship management (CRM) solutions and customer engagement platforms across sales, service, and marketing, while learning to apply development practices that support user experience, performance, security, and quality.

As part of the Business Applications / Salesforce practice, you will gain hands‑on experience supporting the development of Salesforce CRM solutions, customer engagement platforms, and sales, service, and marketing transformation initiatives.

You don't need experience with every technology listed. Many interns join IBM with a foundation in computer science, software engineering, or related technical disciplines and develop specialized expertise through mentorship, structured learning, certifications, hands‑on projects, and AI‑enabled tools.

Throughout your internship, you'll gain exposure to software engineering, cloud technologies, Artificial Intelligence (AI), DevOps, Agile, and Salesforce enterprise application development, while working with experienced engineers, architects, and technology professionals on real client projects across multiple industries.

We're not looking for experts; we hire for potential, curiosity, and a passion for learning.

High‑performing interns may be considered for full‑time Associate opportunities following graduation, based on business needs and individual performance.

  • Currently pursuing a Bachelor's degree in Computer Science, Software Engineering, Information Systems, Computer Engineering, or a related technical field.
  • Interest in software development, application engineering, cloud technologies, Artificial Intelligence, automation, or digital transformation.
  • Basic understanding of programming concepts and experience with at least one programming language such as Java, Python, JavaScript, C#, C++, or similar technologies.
  • Basic understanding of software development principles, object‑oriented programming, algorithms, data structures, databases, APIs, and problem‑solving concepts.
  • Exposure to software development, web development, cloud technologies, databases, or technical problem‑solving through coursework, academic projects, hackathons, student organizations, research, open‑source contributions, or personal learning.
  • Awareness of emerging technologies, including Artificial Intelligence, cloud computing, automation, cybersecurity, and modern software engineering practices.
  • Experience gained through academic projects, internships, hackathons, student organizations, research, volunteer experiences, IBM SkillsBuild, certifications, or other practical learning opportunities.

You don't need to be an expert to get started. We're looking for individuals with a strong foundation, a growth mindset, and a desire to learn and make an impact.

Bring your curiosity. Grow your skills. Build what's next, like an IBMer.

  • Exposure to software development, cloud technologies, web applications, enterprise platforms, or modern application development through coursework, student projects, hackathons, research, open‑source contributions, or internship experiences.
  • Familiarity with Git, APIs, databases, Agile development, DevOps concepts, cloud platforms, user interface frameworks, or software engineering best practices.
  • Interest in Artificial Intelligence, cloud computing, automation, enterprise application development, consulting, and continuous learning.
  • Ability to collaborate effectively with teammates while supporting application modernization and digital transformation initiatives.
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