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Ai Application Developer Jobs in Indiana (NOW HIRING)

AI/ML Integration & Intelligent Solutions * Design and implement AI-enabled application features ... Cloud & DevOps Enablement * Architect and deploy applications in AWS and Azure, leveraging ...

AI/ML Integration & Intelligent Solutions * Design and implement AI-enabled application features ... Cloud & DevOps Enablement * Architect and deploy applications in AWS and Azure, leveraging ...

Design and implement AI-enabled application features, including integration with LLMs and AI APIs ... Mentor developers across multiple technology stacks, lead code reviews, architecture reviews, and ...

COBOL Mainframe Application Developer

Indianapolis, IN · On-site

$46.75 - $60.25/hr

We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight ... We are looking for a very experienced COBOL Mainframe Developer with Application Architecture ...

New

Sr. Mainframe Application Developer

Indianapolis, IN · On-site

$46.75 - $60.25/hr

Teradata delivers real business value with AI. What You'll Do Teradata is looking for a skilled ... Profile system, network, and application performance using tools such as SDSF and SMF * Collect ...

Lead Data & AI Engineer

Fort Wayne, IN

$105K - $126K/yr

The Data & AI Platform Engineer at Sabert Corporation plays a strategic and hands-on role at the ... Familiarity with AI/ML frameworks, large language models (LLMs), and modern AI application ...

New

Lead Data & AI Engineer

Fort Wayne, IN · On-site

$105K - $126K/yr

Description The Data & AI Platform Engineer at Sabert Corporation plays a strategic and hands-on ... Familiarity with AI/ML frameworks, large language models (LLMs), and modern AI application ...

New

AI DevSecOps Senior Engineer

Indianapolis, IN · Hybrid

$109K - $150K/yr

AI DevSecOps Senior Engineer AI DevSecOps Senior Engineer Locations: This role requires associates ... You will partner closely with application engineering, cloud, and platform teams to embed scalable ...

AI DevSecOps Senior Engineer

Indianapolis, IN · Hybrid

$109K - $150K/yr

AI DevSecOps Senior Engineer Locations: This role requires associates to be in-office 1-2 days per ... You will partner closely with application engineering, cloud, and platform teams to embed scalable ...

$172K - $269K/yr

Experience: 8+ years in software engineering, including a minimum of 3 years in AI application ... development and demonstrated experience in enterprise application modernization. * AI/LLM ...

Lovable Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

... developers seeking rapid application prototyping and deployment with AI-powered tools. * Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material ...

Lovable Tutor

West Lafayette, IN · Remote

$18 - $40/hr

... developers seeking rapid application prototyping and deployment with AI-powered tools. * Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material ...

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Ai Application Developer information

See Indiana salary details

$16

$50

$80

How much do ai application developer jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for ai application developer in Indiana is $50.09, according to ZipRecruiter salary data. Most workers in this role earn between $40.24 and $57.64 per hour, depending on experience, location, and employer.

How much does an AI app developer make?

The average salary for an AI application developer ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

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

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

What is a $900,000 AI job?

A $900,000 AI application developer role is a highly senior position that typically involves designing and implementing advanced artificial intelligence solutions. Such roles often require extensive experience, expertise in machine learning frameworks, and may include leadership responsibilities or working in specialized industries like finance or tech innovation.

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

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI Application Developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

How much does an AI developer get paid?

AI application developers 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, deep learning, or specific frameworks may command higher salaries. Compensation often includes benefits such as bonuses, stock options, and professional development opportunities.

What does an AI app developer do?

An AI application developer designs, builds, and maintains software applications that incorporate artificial intelligence and machine learning algorithms. They work with programming languages like Python or Java, utilize AI frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists to create intelligent features and solutions. Their role involves understanding user needs, developing models, and deploying AI-powered apps in various environments.

What is an AI Application Developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.
What are popular job titles related to Ai Application Developer jobs in Indiana? For Ai Application Developer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Application Developer jobs in Indiana look for? The top searched job categories for Ai Application Developer jobs in Indiana are:
Web application Developer

Web application Developer

Unisys

Indianapolis, IN • On-site

Other

Posted 18 days ago


Unisys rating

5.4

Company rating: 5.4 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

193rd of 205 rated it services


Job description

We are seeking a highly experienced Senior Web Application Developer to serve as a technical leader, client liaison, and AI-enabled solutions engineer. This role requires a well-rounded full-stack background across modern web technologies, including but not limited to .NET/C#, JavaScript frameworks, cloud-native architectures, and emerging AI/ML integrations.

The ideal candidate brings 8+ years of experience building scalable web applications, combined with hands-on experience incorporating AI/ML capabilities (e.g., generative AI, APIs, or data-driven models) into production systems. This individual will act as a trusted advisor to clients, shaping technical direction while leading engineering teams to deliver innovative, secure, and high-performing solutions.

Primary Responsibilities

  • Full-Stack Architecture & Technical Leadership
  • Lead the architecture, design, and development of modern web applications across a diverse technology stack, including .NET/C#, Node.js, and front-end frameworks (React, Angular, Vue).
  • Design and implement scalable, cloud-native solutions using microservices and serverless architectures.
  • Establish and enforce engineering best practices, coding standards, and architectural patterns across teams.
  • AI/ML Integration & Intelligent Solutions
  • Design and implement AI-enabled application features, such as:
  • Integration with LLMs and AI APIs (e.g., Azure OpenAI, AWS Bedrock, or similar platforms)
  • Intelligent search, summarization, recommendation systems, or automation workflows
  • Collaborate with stakeholders to identify opportunities where AI can enhance user experience, decision-making, or operational efficiency.
  • Ensure responsible and secure use of AI technologies, including data privacy, governance, and model evaluation.

Client Engagement & Technical Strategy

  • Serve as a primary technical interface to clients, translating business needs into scalable technical solutions.
  • Lead solutioning sessions, architecture discussions, and technical briefings with stakeholders.
  • Provide strategic guidance on modern web technologies, cloud adoption, and AI integration.
  • Build strong client relationships as a trusted technical advisor.

Advanced Web Application & API Development

  • Oversee development of secure, high-performance web applications and RESTful APIs.
  • Ensure interoperability and cross-platform integration across systems.
  • Drive best practices in API design, versioning, and performance optimization.

Cloud & DevOps Enablement

  • Architect and deploy applications in AWS and Azure, leveraging serverless and containerized services.
  • Lead CI/CD pipeline implementation and DevSecOps practices.
  • Optimize systems for scalability, reliability, and cost efficiency in cloud environments.

Team Leadership & Mentorship

  • Mentor developers across multiple technology stacks, not limited to .NET.
  • Lead code reviews, architecture reviews, and technical decision-making.
  • Foster a culture of innovation, continuous learning, and engineering excellence.

Security, Performance & Quality

  • Ensure applications meet modern security standards, including secure API design and cloud security best practices.
  • Implement comprehensive testing strategies and performance monitoring.
  • Continuously improve system resilience, scalability, and maintainability.

UI/UX & Modern Web Practices

  • Collaborate with UI/UX teams to deliver responsive, accessible, and user-centric applications.
  • Drive adoption of modern front-end architecture and performance optimization techniques.

Innovation & Continuous Improvement

  • Stay current with emerging web and AI technologies, evaluating their applicability to client missions.
  • Introduce new tools, frameworks, and AI capabilities to improve delivery and innovation.

Basic Qualifications

  • Bachelor s or Master s degree in Computer Science, Information Technology, or related field (or equivalent experience).
  • 8+ years of experience in full-stack web application development, including .NET/C# and modern JavaScript frameworks.
  • Demonstrated experience working across multiple web technologies beyond .NET (e.g., Node.js, Python, or similar).
  • Strong hands-on experience with T-SQL, including writing and optimizing SQL queries, stored procedures, triggers, functions, and other database objects.
  • Demonstrated commitment to built-in quality, including developing reliable, maintainable, and well-tested solutions that meet performance, security, and coding standards.
  • Ability to follow development best practices, conduct code reviews, troubleshoot issues, and ensure deliverables meet quality expectations throughout the development lifecycle.
  • Hands-on experience integrating or developing AI/ML capabilities, such as:
  • Working with AI APIs (Azure OpenAI, AWS Bedrock, etc.)
  • Implementing data-driven or intelligent application features
  • Strong experience with AWS and/or Azure cloud platforms, including serverless architectures.
  • Deep understanding of web architecture, microservices, and RESTful API design.
  • Experience with SQL and NoSQL databases.
  • Proven ability to lead teams and engage directly with clients.
  • Strong communication skills with the ability to bridge business needs and technical solutions.
  • Knowledge of secure application development and cloud security practices.

Preferred Qualifications

  • Certifications in AWS, Azure, or AI/ML-related technologies.
  • Experience building or integrating generative AI solutions in production environments.
  • Familiarity with Python for AI/ML workflows.
  • Experience with DevSecOps, CI/CD pipelines, and automation tools.
  • Prior experience in client-facing technical leadership roles within complex or mission-driven environments. tools.

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