1

Full Stack Ai Engineer Jobs in Indiana (NOW HIRING)

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 ...

Senior AI Full Stack Engineer | About You As a Senior AI Full Stack Engineer, you are responsible for building modern, datadriven web applications that enable scientists and researchers to interact ...

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 ...

Full Stack Developer

Fort Wayne, IN ยท 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 ...

Job Summary : eTeam is working with Infosys Pontoon to find an IoT Full Stack Engineer. This role focuses on connecting manufacturing equipment, structuring machine data, and delivering actionable ...

Senior Java Full Stack Developer

Carmel, IN ยท 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 ...

next page

Showing results 1-20

Full Stack Ai Engineer information

See Indiana salary details

$42.3K

$128.2K

$181.3K

How much do full stack ai engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for full stack ai engineer in Indiana is $128,243.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $150,300.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.
What cities in Indiana are hiring for Full Stack Ai Engineer jobs? Cities in Indiana with the most Full Stack Ai Engineer job openings:
Infographic showing various Full Stack Ai Engineer 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 $128,243 per year, or $61.7 per hour.

Senior AI Full Stack Engineer

Onebridge

Indianapolis, IN โ€ข 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.