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

Limestone Digital

iOS AI Embedded Engineer

Central, LA · On-site

$80 - $100/hr

Prior experience working in an AI Software Factory model, including knowledge of Limestone's open-source accelerators (Velocity Core, Developer Intelligence). * Experience in the VPN, mobile security ...

Collabera LLC

AI/ML Support Engineer

Baton Rouge, LA · On-site

$38 - $43/hr

AI/ML Support Engineer Onsite in Baton Rouge, LA - who can work onsite Pay rate: $38/Hour - $43/Hour ( Depending on the experience) We are in search for possible candidates for our newest client ...

IBM

Intern Application Developer AWS - 2027

Baton Rouge, LA · On-site

$16.75 - $22/hr

Throughout your internship, you'll gain exposure to software engineering, cloud technologies, Artificial Intelligence (AI), DevOps, Agile, and enterprise application development, while working with ...

IBM

Intern Application Developer AWS - 2027

Baton Rouge, LA · On-site

$16.75 - $22/hr

Throughout your internship, you'll gain exposure to software engineering, cloud technologies, Artificial Intelligence (AI), DevOps, Agile, and enterprise application development, while working with ...

Databricks

Specialist Solutions Architect - AI/ML

Central, LA · On-site +1

$58.25 - $76.75/hr

Serve as a trusted technical advisor to customer architects, engineering leads, and Directors ... AI Engineering: Working with LLMs and agentic systems, including vector databases, fine-tuning, AI ...

IBM

Intern Application Developer AWS - 2027

Baton Rouge, LA · On-site

$18.50 - $24.25/hr

Throughout your internship, you'll gain exposure to software engineering, cloud technologies, Artificial Intelligence (AI), DevOps, Agile, and enterprise application development, while working with ...

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Ai Engineer Developer information

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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:

Ai Engineer Developer jobs near you

iOS AI Embedded Engineer

Limestone Digital

Central, LA • On-site

$80 - $100/hr

Other

Posted 6 days ago

Job description

Core Expertise
  • Experience operating modern AI-assisted development tools (e.g., Cursor, Claude Code, Codex).
  • Ability to perform deep repository and git-history analysis to map out legacy codebases and structure them for LLMs.
  • Excellent communication and coaching skills to lead engineering workshops and conduct workflow interviews.
  • Fluent English for direct client communication.
iOS AI Embedded Engineer Requirements
  • Strong competency in iOS/Swift development (SwiftUI/UIKit experience).
  • Experience operating modern AI-assisted development tools (e.g., Cursor, Claude Code, Codex).
  • Ability to perform deep repository and git-history analysis to map out legacy codebases and structure them for LLMs.
  • Excellent communication and coaching skills to lead engineering workshops and conduct workflow interviews.
  • Fluent English for direct client communication.
Nice-to-Have
  • Understanding of CI/CD constraints, particularly macOS-VM virtualisation and Namespace runners.
  • Familiarity with building local pre-flight CI skills to catch build failures early.
  • Prior experience working in an AI Software Factory model, including knowledge of Limestone's open-source accelerators (Velocity Core, Developer Intelligence).
  • Experience in the VPN, mobile security, or telecommunications app space.
Responsibilities
  • Embedded with the client's iOS team for a 1-month Foundation phase to map their Swift codebase, identifying active code, legacy systems, and repeating patterns.
  • Conduct 30-minute workflow interviews with the Head of iOS and 3-4 engineers to inventory tooling and identify repetitive, slow, or frustrating tasks.
  • Ship a tailored AI toolkit directly to the iOS team within the first 7 days, including task-specific agents, commands, hooks, and local pre-flight CI skills.
  • Build a versioned, agent-readable knowledge base inside the client's repository (covering spec-driven development, review patterns, etc.).
  • Establish a cost telemetry baseline for AI/LLM API spend across the iOS team.
  • Deliver two team-wide workshops: "Spec-driven development with AI" (90 mins) and "The AI Factory blueprint" (60 mins).
  • Create a final Foundation handoff document that summarises findings and tools shipped, and lays out the recommended starting point for the Phase 2 Velocity Pod.
About the project

The project objective is to operationalise agentic engineering and shift the client's iOS engineering team to an AI-first baseline. This role will serve as the initial "Foundation Embed," tasked with doing a structured pass on the client's legacy iOS/Swift codebase to make it agent-readable. The engineer will deploy a tailored AI toolkit, build an agent-readable knowledge base, and level up the team's AI fluency to prepare the infrastructure for a Phase 2 Velocity Pod rollout.

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