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Ai Coder Jobs in Indiana (NOW HIRING)

VP, Global Head of Engineering

Francisco, IN

$169.70K - $218.70K/yr

AI-native engineering culture - embed AI development tools (Claude Code, Cursor) as standard practice, and build a team fluent in building on top of frontier AI models * Recruiting and talent brand ...

$140K - $185K/yr

Write and maintain code (e.g., Python, JavaScript) to integrate AI models, APIs, and internal marketing systems * Develop scalable solutions leveraging tools like Codex, Claude, and n8n * Prototype ...

$140K - $185K/yr

Write and maintain code (e.g., Python, JavaScript) to integrate AI models, APIs, and internal marketing systems * Develop scalable solutions leveraging tools like Codex, Claude, and n8n * Prototype ...

$140K - $185K/yr

Write and maintain code (e.g., Python, JavaScript) to integrate AI models, APIs, and internal marketing systems * Develop scalable solutions leveraging tools like Codex, Claude, and n8n * Prototype ...

Experience using AI tools to accelerate development (e.g., chat-based coding assistants, automation ... tools, rapid prototyping tools). * Excellent communication skills across cross-functional teams.

$140K - $185K/yr

Write and maintain code (e.g., Python, JavaScript) to integrate AI models, APIs, and internal marketing systems * Develop scalable solutions leveraging tools like Codex, Claude, and n8n * Prototype ...

Experience using AI tools to accelerate development (e.g., chat-based coding assistants, automation ... tools, rapid prototyping tools). * Excellent communication skills across cross-functional teams.

Senior AI Engineer

Indianapolis, IN

$99.90K - $137.20K/yr

You should be comfortable working across the stack-connecting LLM capabilities to real application code, APIs, data stores, and user experiences. Evaluations and Quality Shipping AI features ...

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Showing results 1-20

Ai Coder information

See Indiana salary details

$15

$26

$41

How much do ai coder jobs pay per hour?

As of May 31, 2026, the average hourly pay for ai coder in Indiana is $26.16, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $32.93 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Coder, and why are they important?

To thrive as an AI Coder, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience with version control systems such as Git, is essential. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and explain complex solutions. These skills and qualities are crucial for developing, optimizing, and maintaining reliable AI models that address real-world challenges.

What types of projects do AI Coders typically work on, and how does project collaboration usually happen?

AI Coders are often involved in developing machine learning models, creating data pipelines, and integrating AI solutions into existing products. Collaboration is a key part of the role, with AI Coders working closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. Most teams use agile methodologies, daily stand-ups, and collaborative platforms like GitHub or Jira to coordinate tasks and track progress. This structure ensures that AI Coders receive frequent feedback and can contribute ideas throughout the development cycle.

What are AI Coders?

AI Coders are professionals who develop, implement, and maintain artificial intelligence (AI) systems and applications. They use programming languages such as Python, Java, and R to write code that enables machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI Coders often work with machine learning models, neural networks, and large datasets to create intelligent solutions for various industries. Their work can range from building chatbots and recommendation systems to designing complex algorithms for automation.

How much do AI coders make?

AI coders, also known as artificial intelligence programmers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially in tech hubs or large companies.

What is the difference between Ai Coder vs Data Scientist?

AspectAi CoderData Scientist
Required CredentialsProgramming skills, knowledge of AI frameworks, certifications in AI/MLStatistics, programming, data analysis certifications
Work EnvironmentSoftware development teams, AI research labsData analysis teams, research environments
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Ai Coders primarily focus on developing AI models and coding AI solutions, whereas Data Scientists analyze data to extract insights and inform business decisions. Ai Coders are more involved in software development, while Data Scientists emphasize statistical analysis and data interpretation.

What cities in Indiana are hiring for Ai Coder jobs? Cities in Indiana with the most Ai Coder job openings:
Infographic showing various Ai Coder job openings in Indiana as of May 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $54,412 per year, or $26.2 per hour.

Senior AI/ML Engineer

Purple Drive Technologies

Indianapolis, IN • On-site

$99.90K - $137.20K/yr

Full-time

Posted 23 days ago


Job description

Overview:
AI/ML Engineer: 10+ Years of Experience
Skills
AI/ML
Strong Python Coding Experience
LLM workflows
(AWS/GCP/Azure)
ETL workflows using Spark, Glue, Airflow,
• Design, develop, and maintain scalable Python applications, libraries, and scripts for data pipelines, APIs, and LLM workflows, ensuring code quality and reusability.
• Craft, test, and optimize prompts for generative AI/LLM models; integrate Hugging Face transformers and fine-tuned models into ETL and downstream applications.
• Build and manage robust ETL workflows using Spark, Glue, Airflow, or similar; handle structured/unstructured data ingestion, transformation, and persistence across data lakes, warehouses, and RDS systems.
• Develop and operationalize LLM/transformer models via Hugging Face ecosystem; optimize inference pipelines for latency, scalability, and cost efficiency across cloud (AWS/GCP/Azure) and containerized environments (ECS/Fargate/Kubernetes).