1

Senior Ai Software Engineer Jobs in Indiana (NOW HIRING)

Senior Software Engineer

Carmel, IN · On-site +1

$101K - $169K/yr

As a Senior Software Engineer within NextGear Capital , you will play a critical role in designing ... At NextGear Capital, AI-assisted software development is becoming a foundational component of how ...

Senior Software Engineer

Carmel, IN · On-site +1

$101K - $169K/yr

As a Senior Software Engineer within NextGear Capital , you will play a critical role in designing ... At NextGear Capital, AI-assisted software development is becoming a foundational component of how ...

Sr Software Engineer

Carmel, IN · On-site +1

$101K - $169K/yr

We are looking for a Senior Software Engineer who applies the principles of secure software ... AI Platform Engineering & Product Development * Own and evolve the AI Artifact Hub - harden the ...

New

As a Senior Software Engineer within NextGear Capital , you will play a critical role in designing ... At NextGear Capital, AI-assisted software development is becoming a foundational component of how ...

Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information ... This role reports to the Manager of Software Engineering and provides the opportunity to work on ...

Senior AI/ML Engineer

Bedford, IN · On-site

$93K - $128K/yr

Maintain awareness of emerging AI/ML technologies, software engineering practices, and cyber defense techniques relevant to mission-critical systems. Qualifications: * Active DoD Secret Clearance ...

Senior AI/ML Engineer

Bedford, IN · On-site

$93K - $128K/yr

Maintain awareness of emerging AI/ML technologies, software engineering practices, and cyber defense techniques relevant to mission-critical systems. Qualifications: * Active DoD Secret Clearance ...

next page

Showing results 1-20

Senior Ai Software Engineer information

What is a senior AI software engineer?

Senior AI Software Engineers are experienced professionals who design, develop, and deploy artificial intelligence (AI) systems and applications. They lead complex projects involving machine learning, deep learning, and data analysis, often mentoring junior engineers and collaborating with data scientists. Their responsibilities include creating scalable AI models, optimizing algorithms, and ensuring that AI solutions meet business objectives. They typically possess advanced knowledge of programming languages such as Python and experience with AI frameworks like TensorFlow or PyTorch. Additionally, they stay updated on the latest AI trends and best practices to drive innovation within their organizations.

What does a senior AI software engineer do?

As a Senior AI Software Engineer, you will frequently work cross-functionally with data scientists and product teams to design, develop, and deploy AI solutions. You’ll translate complex models developed by data scientists into scalable, production-ready code, and ensure the solutions meet performance and reliability standards. Regular communication with product managers and stakeholders is essential to align technical deliverables with business objectives, and you may also mentor junior engineers in best practices for AI system integration.

What are the key skills and qualifications needed to thrive as a senior AI software engineer?

To thrive as a Senior AI Software Engineer, you need deep expertise in machine learning, programming languages such as Python or Java, and a strong background in computer science or a related field, often with an advanced degree. Familiarity with frameworks like TensorFlow or PyTorch, experience deploying models to production, and knowledge of cloud platforms are typically required, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, leadership, and effective communication skills distinguish top performers in this role. These skills ensure the ability to design, build, and scale AI solutions that drive innovation and deliver business value.

What is the difference between Senior Ai Software Engineer vs Data Scientist?

AspectSenior Ai Software EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with AI frameworksBachelor's/Master's in CS, Statistics, or related; experience with data analysis
Work EnvironmentDevelops AI models, software, and algorithms; collaborates with engineering teamsAnalyzes data, builds predictive models, interprets data insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require strong technical skills and experience with AI tools, Senior Ai Software Engineers focus on developing and deploying AI software solutions, whereas Data Scientists primarily analyze data to generate insights and build predictive models. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Ai Software Engineer jobs in Indiana?

The most popular types of Ai Software Engineer jobs in Indiana are:

Infographic showing various Senior Ai Software Engineer job openings in Indiana as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Senior AI Engineer - Bioinformatics

MarLabs

Indianapolis, IN • On-site

$140 - $190/hr

Other

Posted 10 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.
#J-18808-Ljbffr