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Full Stack Ai Engineer Jobs in Louisiana (NOW HIRING)

Deloitte

Cyber Full Stack Manager

New Orleans, LA · On-site

Our work brings together digital trust, online protection, privacy, AI governance, identity, data protection, cybersecurity, and regulatory compliance capabilities. The Full Stack Engineer team is a ...

Dexory

Full Stack Platform Engineer

Verda, LA · Hybrid

Full Stack Developer / Go / React / TypeScript / Real Time Data Location: Wallingford - Oxfordshire (Hybrid) onsite circa 1-2 days per month Permanent At Dexory, we are transforming the warehousing ...

AXS

Full Stack Engineer

New Orleans, LA · On-site

As a Full Stack Engineer for WRSTBND, you'll: * Develop new features and functions on the WRSTBND platform * Participate in design and code reviews to ensure best practices and high-quality code

AXS

Full Stack Engineer

New Orleans, LA · On-site

As a Full Stack Engineer for WRSTBND, you'll: * Develop new features and functions on the WRSTBND platform * Participate in design and code reviews to ensure best practices and high-quality code

Baker Donelson

Full Stack .NET Developer

Mandeville, LA · On-site

We are seeking a highly skilled and experienced Full Stack .NET Developer to join our dynamic team. The ideal candidate will be a creative innovator with strong communication skills and a dedication ...

New

Baker Donelson

Full Stack .NET Developer

Mandeville, LA · On-site

We are seeking a highly skilled and experienced Full Stack .NET Developer to join our dynamic team. The ideal candidate will be a creative innovator with strong communication skills and a dedication ...

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Showing results 1-20

All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Louisiana

Full Stack Ai Engineer information

See Louisiana salary details

$38.1K

$115.2K

$162.9K

How much do full stack ai engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for full stack ai engineer in Louisiana is $115,246.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,900.00 and $135,100.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are popular job titles related to Full Stack Ai Engineer jobs in Louisiana?

For Full Stack Ai Engineer jobs in Louisiana, the most frequently searched job titles are:

What job categories do people searching Full Stack Ai Engineer jobs in Louisiana look for?

The top searched job categories for Full Stack Ai Engineer jobs in Louisiana are:

What cities in Louisiana are hiring for Full Stack Ai Engineer jobs?

Cities in Louisiana with the most Full Stack Ai Engineer job openings:

Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Louisiana as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $115,246 per year, or $55.4 per hour.

Full Stack Developer - Java, React & AI

Srinav Inc.

Lafayette, LA • On-site

Other

Posted 5 days ago

Job description

Hi,

Pease find the below requirement and send suitable profiles asap.

Role: Full Stack Developer – Java, React & AI

Location: Lafayette, LA ( Onsite)

Duration: 2+ Years

Full Stack Developer – Java, React & AI – Job Description Summary

  1. Strong hands-on experience in React, Java 17+, Spring Boot, Spring Data JPA, Spring Security, and Microservices architecture.
  2. Design and develop scalable REST APIs, event-driven services, and enterprise-grade full-stack applications.
  3. Experience with LLMs, Generative AI, Agentic AI, Prompt Engineering, and Context Engineering.
  4. Build AI-enabled applications using LangChain, LangGraph, OpenAI/Azure OpenAI, and Model Context Protocol (MCP).
  5. Develop RAG solutions using embeddings, vector search, semantic retrieval, and enterprise knowledge sources.
  6. Hands-on experience with Vector Databases such as Pinecone, pgvector, ChromaDB, FAISS, or Azure AI Search.
  7. Strong experience with Redis caching and relational/NoSQL databases including PostgreSQL, Oracle, and MongoDB.
  8. Develop event-driven integrations using Kafka, APIs, microservices, and enterprise integration patterns.
  9. Deploy and manage applications using AWS, Docker, OpenShift/Kubernetes, CI/CD, Git, Maven/Gradle, Jenkins, or GitHub Actions.
  10. Demonstrate strong problem-solving, debugging, performance optimization, collaboration, and end-to-end application ownership.

6

Srini

vasuatsrinavdot.net

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