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Ai Coder Jobs in Indiana (NOW HIRING)

Senior AI Engineer

Indianapolis, IN · On-site

$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 ...

Support early implementation, design reviews, code reviews, and complex troubleshooting when ambiguity, integration complexity, model behavior, security, responsible AI requirements, or emerging AI ...

Support early implementation, design reviews, code reviews, and complex troubleshooting when ambiguity, integration complexity, model behavior, security, responsible AI requirements, or emerging AI ...

Senior React Native Software Engineer

Austin, IN

$127.80K - $159.90K/yr

Leverage AI coding agents and modern developer tooling to accelerate engineering velocity * Evaluate and improve workflows using AI-assisted development practices * Maintain strong engineering ...

Senior React Native Software Engineer

Austin, IN · On-site

$127.80K - $159.90K/yr

Leverage AI coding agents and modern developer tooling to accelerate engineering velocity * Evaluate and improve workflows using AI-assisted development practices * Maintain strong engineering ...

Senior AI/ML Engineer

Bedford, IN · On-site

$93.50K - $128.40K/yr

Develop and prototype AI/ML systems to address mission-specific requirements, including computer ... coding, and vulnerability mitigation. * Proven ability to lead complex technical efforts, mentor ...

Azure AI Security Manager Our Deloitte Cyber team understands the unique challenges and ... code scanning, vulnerability detection, and intellectual property protection. * Drive platform ...

Continuously improve code quality through regular refactoring, debugging, and performance enhancements. * Contribute to building secure, high-quality AI solutions that power Aircall's customer ...

You can still ship code and own integrations end-to-end. • Data & Integration: Strong data ... You translate AI capability into measurable client outcomes. You prioritize client value over ...

Review Infrastructure as Code compliance, tagging strategies, naming conventions, logging requirements, and monitoring baselines for AI workloads. * Participate in AI architecture gate reviews and ...

AI Architect, Manager

Indianapolis, IN · On-site +1

$60.25 - $79.25/hr

The AI Architect is responsible for designing and developing scalable AI solutions aligned to a ... Capable of writing solid code * Comfortable in a hands-on position * Capable of seeing the big ...

... the Firm's code of conduct, and independence requirements. The Opportunity As part of the ... Responsibilities - Develop and implement AI governance frameworks - Conduct risk assessments to ...

Design and build practical, production-grade AI-powered developer tooling (coding, testing, PR reviews, debugging) * Build contextual, system-aware AI assistants using internal data, codebases, and ...

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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.
Manager, AI Engineering

$140K - $160K/yr

Full-time

Posted 14 days ago


Job description

Job Title:

Manager, AI Engineering

Number of Positions:

1

Location:

Indianapolis, IN

Location Specifics:

Fully Remote

Job Summary:

The AI Engineering Manager leads an Agile team (and related vendors) delivering AI-powered and automation solutions that solve business problems. This hands-on role balances people leadership with technical guidance to build reliable, scalable, production-ready systems. You'll partner with product, architecture, security, and business teams to turn ideas into working solutions, while fostering strong engineering practices and continuous improvement across AI and RPA engineering.

What will this role entail?

  • Lead and develop an Agile AI/RPA engineering team delivering AI and automation solutions.

  • Drive predictable delivery through strong Agile execution (planning, refinement, ceremonies, and continuous improvement).

  • Partner with product and business stakeholders to shape requirements, prioritize work, and manage scope/capacity.

  • Provide hands-on technical leadership-design reviews, architectural guidance, and problem-solving to unblock delivery.

  • Coach engineers on AI development best practices (testing, monitoring, security, reliability, and responsible AI).

  • Ensure solutions meet quality, performance, maintainability, and production-readiness standards.

  • Manage dependencies, risks, and vendor partners; communicate progress and outcomes to stakeholders.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Minimum Requirements:

  • Experience using AI-assisted development tools (e.g., Cursor or similar) to accelerate delivery.

  • 5+ years of professional experience in software engineering, automation, or AI-related development roles

  • 2+ years of experience leading or managing engineering teams

  • Hands-on experience building and delivering production software systems, including AI-powered or automation solutions

  • Working knowledge of GenAI/LLMs and common patterns (e.g., agents) in real-world applications.

  • Experience leading teams using Agile methodologies (Scrum, Kanban, or hybrid)

  • Strong software engineering fundamentals (testing, code reviews, CI/CD, and operational support).

  • Ability to translate business needs into shipped solutions with product and stakeholders.

  • Familiarity with security, privacy, and responsible AI considerations in enterprise environments

  • Strong communication skills, including explaining technical concepts to non-technical audiences.

Technical Qualifications:

  • Production software engineering (design, build, ship, support).

  • Hands-on AI/GenAI application development and operationalization.

  • Testing/quality, CI/CD, and release management.

  • Security, privacy, and responsible AI fundamentals.

  • RPA/enterprise automation familiarity and AI-native development tools (e.g., Cursor).

Base Salary Range: $140,000-160,000

Management bonus incentive plan eligible

The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.