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Ai Full Stack Developer Jobs in Indiana (NOW HIRING)

Cybercoders

Full Stack Developer

Fort Wayne, IN · On-site

$115K - $130K/yr

Full Stack Developer Full Stack Developer Position Overview We are seeking a motivated Full Stack ... Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual ...

CNP Infotech

Senior Java Full Stack Developer

Carmel, IN · On-site

$49.75 - $64.25/hr

We are looking for a highly skilled Senior Java Full Stack Developer with at least 5 years of experience to join our team. In this role, you will be responsible for designing, developing, and ...

CFS

Full Stack Developer

South Bend, IN · Hybrid

... stack and development processes. Skills and Qualifications: * Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). * Proven experience in ...

CFS

Full Stack Developer

South Bend, IN · Hybrid

... stack and development processes. Skills and Qualifications: * Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). * Proven experience in ...

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All JobsAi Full Stack Developer JobsAi Full Stack Developer Jobs in Indiana

Ai Full Stack Developer information

See Indiana salary details

$22

$56

$81

How much do ai full stack developer jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for ai full stack developer in Indiana is $56.39, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $64.95 per hour, depending on experience, location, and employer.

What is the difference between Ai Full Stack Developer vs Data Scientist?

AspectAi Full Stack DeveloperData Scientist
Required CredentialsBachelor's in CS, Software Engineering, or related; knowledge of AI frameworksBachelor's or higher in Data Science, Statistics, or related; proficiency in data analysis tools
Work EnvironmentDevelops AI applications, integrates front-end and back-end AI solutionsAnalyzes data, builds predictive models, visualizes insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, an Ai Full Stack Developer focuses on building and integrating AI-powered applications across the full software stack, whereas a Data Scientist primarily analyzes data and develops models to extract insights. The roles often overlap in AI projects but serve different core functions.

What are popular job titles related to Ai Full Stack Developer jobs in Indiana? For Ai Full Stack Developer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Full Stack Developer jobs in Indiana look for? The top searched job categories for Ai Full Stack Developer jobs in Indiana are:
What cities in Indiana are hiring for Ai Full Stack Developer jobs? Cities in Indiana with the most Ai Full Stack Developer job openings:
Ai Full Stack Developer jobs near you
Infographic showing various Ai Full Stack Developer job openings in Indiana as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $117,291 per year, or $56.4 per hour.

Senior AI Full Stack Engineer

Onebridge

Indianapolis, IN • On-site

Full-time

Posted 8 days ago

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Senior AI Full Stack Engineer to join our innovative and dynamic team.
Senior AI Full Stack Engineer | About You
As a Senior AI Full Stack Engineer, you are responsible for building modern, data-driven web applications that enable scientists and researchers to interact with complex datasets intuitively and efficiently. You enjoy working across the entire stack, from designing backend services and APIs to crafting responsive, elegant frontends. You thrive in environments where you collaborate closely with UX designers, scientists, and engineering partners to turn ideas into high-impact tools. You value clean architecture, reusable components, automated testing, and strong engineering best practices. You are energized by creating user experiences that simplify scientific workflows and make large-scale data accessible and actionable.
Senior AI Full Stack Engineer | Day-to-Day
  • Design, develop, and support scalable full-stack applications and AI-powered solutions using Python and modern development technologies.
  • Build and integrate Generative AI capabilities using LLM platforms such as OpenAI, Azure OpenAI, and Anthropic, including prompt engineering and context management.
  • Develop agentic workflows, tool integrations, and function-calling capabilities to automate complex business processes and enhance user experiences.
  • Integrate enterprise applications with platforms such as Microsoft 365, SharePoint, Microsoft Graph, ServiceNow, Jira, and Confluence through secure APIs.
  • Implement secure authentication, authorization, and secrets management practices while ensuring compliance with enterprise security standards.
  • Collaborate with cross-functional teams to deliver, deploy, and continuously improve applications through CI/CD pipelines, containerization, and modern DevOps practices.

Senior AI Full Stack Engineer | Skills & Experience
  • 7+ years of experience in full-stack application development within enterprise or technology-driven environments, with strong proficiency in Python.
  • Hands-on experience building AI and Generative AI solutions, including LLM API integrations, prompt engineering, token management, and conversational AI applications.
  • Strong experience with enterprise integrations, including Microsoft 365, Microsoft Graph, SharePoint, ServiceNow, Jira, Confluence, and REST APIs.
  • Expertise in secure application development, including SSO integrations (SAML, OAuth2, OIDC), API gateways, middleware, and secrets management best practices.
  • Experience with modern DevOps and cloud-native development, including containerization, CI/CD pipelines, deployment automation, and application lifecycle management.

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