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Backend Ai Engineer Jobs in Indiana (NOW HIRING)

Internetwork Expert

Senior AI Engineer

Warsaw, IN · On-site

$130 - $180/hr

Build backend services, APIs, workflows, and integrations that incorporate LLMs and other AI ... Review engineering work and establish best practices for Python and AI application development

New

QUANTUM TECHNOLOGIES LLC

AI/ML Engineer

Fort Wayne, IN · On-site

$86/hr

AI/ML Engineer Location: Fort Wayne, IN Duration: 6 Months + Extension Bill Rate : $86/hr. Job Type ... Experience in Java Full Stack development with strong backend Python skills. * Experience with deep ...

Relativity

Software Engineer

Indianapolis, IN · On-site

WHAT WE DO At Relativity, engineers don't just write code. They build the systems that power AI ... shared backend platform that powers Relativity's generative AI products. These systems enable ...

Marlabs

Senior AI Full Stack Engineer

Indianapolis, IN · On-site

Senior AI Full Stack Engineer | About You As a Senior AI Full Stack Engineer, you are responsible ... You enjoy working across the entire stack, from designing backend services and APIs to crafting ...

Onebridge

Senior AI Full Stack Engineer

Indianapolis, IN · On-site

$120 - $180/hr

Senior AI Full Stack Engineer | About You As a Senior AI Full Stack Engineer, you are responsible ... You enjoy working across the entire stack, from designing backend services and APIs to crafting ...

Marlabs

Senior AI Full Stack Engineer

Indianapolis, IN · On-site

Senior AI Full Stack Engineer | About You As a Senior AI Full Stack Engineer, you are responsible ... You enjoy working across the entire stack, from designing backend services and APIs to crafting ...

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Backend Ai Engineer information

What is a Backend AI Engineer?

A Backend AI Engineer is a software engineer who specializes in building and maintaining the server-side infrastructure for artificial intelligence applications. Their work involves designing APIs, integrating machine learning models, managing databases, and ensuring efficient data flow between systems. They collaborate with data scientists and frontend developers to deploy AI models at scale and make them accessible through robust backend services. Key skills for this role include programming (often in Python, Java, or similar languages), cloud computing, and knowledge of AI frameworks.

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

To thrive as a Backend AI Engineer, you need strong programming skills (especially in Python or Java), a deep understanding of algorithms and data structures, and a background in computer science or related fields. Familiarity with AI/ML frameworks (like TensorFlow or PyTorch), RESTful APIs, databases, and cloud platforms is typically expected, along with relevant certifications. Exceptional problem-solving abilities, teamwork, and effective communication are soft skills that distinguish top performers. These competencies are crucial for designing robust, scalable AI solutions that integrate seamlessly with backend systems and drive innovation.

What are some common challenges backend AI engineers face when deploying machine learning models to production?

Backend AI Engineers often encounter challenges such as ensuring model scalability, maintaining low latency, and handling diverse data inputs during deployment. Integrating models into existing backend systems can also require careful consideration of APIs, security, and resource management. Additionally, monitoring model performance and updating models with new data are ongoing responsibilities that require close collaboration with data scientists, DevOps, and product teams.

What is the difference between Backend Ai Engineer vs Data Scientist?

AspectBackend Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of programming, AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, integrates AI into backend systems, collaborates with software teamsAnalyzes data, builds models, interprets data insights, collaborates with business teams
Industry UsageTech companies, AI startups, software firmsResearch institutions, tech companies, finance, healthcare
Common Search/ComparisonYesYes

While both roles involve working with AI and data, Backend Ai Engineers focus on integrating AI models into backend systems and developing scalable AI solutions. Data Scientists primarily analyze data, build predictive models, and generate insights. The roles often overlap in skills and tools but differ in their core focus—system integration versus data analysis.

What are popular job titles related to Backend Ai Engineer jobs in Indiana?

For Backend Ai Engineer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Backend Ai Engineer jobs in Indiana look for?

The top searched job categories for Backend Ai Engineer jobs in Indiana are:

What cities in Indiana are hiring for Backend Ai Engineer jobs?

Cities in Indiana with the most Backend Ai Engineer job openings:

Backend Ai Engineer jobs near you
Infographic showing various Backend Ai Engineer job openings in Indiana as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution.

Senior AI Engineer

Internetwork Expert

Warsaw, IN • On-site

$130 - $180/hr

Other

Posted 2 days ago

New

Job description

Hybrid or full remote


We are looking for a Senior AI Engineer to design and build production-grade AI applications and services using Python. In this role, you will turn business and AI use cases into reliable, scalable technical solutions, working with LLMs, backend services, APIs, and enterprise systems.


What You'll Do

  • Design and build production-grade AI applications and services using Python

  • Translate business requirements and AI use cases into practical technical solutions

  • Build backend services, APIs, workflows, and integrations that incorporate LLMs and other AI capabilities

  • Design evaluation frameworks and test cases to measure the quality and reliability of AI outputs

  • Develop techniques to improve the consistency and predictability of LLM-powered features

  • Implement observability, instrumentation, tracing, and monitoring for AI systems

  • Build reusable components for prompting, model interaction, evaluation, retrieval, and orchestration

  • Develop automated tests and CI/CD pipelines for AI applications

  • Integrate AI applications with enterprise data platforms, APIs, and business systems

  • Diagnose and resolve issues in deployed applications and support production workloads

  • Contribute to architecture and technology decisions across AI products

  • Review engineering work and establish best practices for Python and AI application development

  • Work directly with clients and stakeholders to refine requirements, evaluate trade-offs, and shape solutions


Must-Haves

  • 5+ years of experience in software engineering, backend engineering, applied AI, or related fields

  • Strong Python fundamentals and experience building maintainable, production-grade Python applications

  • Experience designing and deploying AI or LLM-powered products beyond proof-of-concept or notebook environments

  • Experience building backend services and APIs using Python

  • Strong understanding of software engineering fundamentals, including modular design, testing, version control, and CI/CD

  • Hands‑on experience evaluating LLM outputs and designing repeatable test cases for AI applications

  • Experience with observability, instrumentation, logging, tracing, or monitoring of production applications

  • Understanding of the challenges involved in making probabilistic AI systems reliable and predictable

  • Experience integrating applications with external APIs, data sources, and enterprise systems

  • Ability to reason from first principles and solve unfamiliar technical problems rather than relying solely on frameworks or tools

  • Strong communication skills and experience working directly with technical and business stakeholders

  • Ability to balance hands‑on delivery with technical guidance and solution design


Nice-to-Haves

  • Experience with RAG, semantic search, embeddings, vector databases, or other retrieval-based AI architectures

  • Experience building agentic or multi‑step LLM workflows

  • Familiarity with structured LLM outputs, tool calling, and schema‑driven application patterns

  • Experience with AI evaluation, experimentation, or observability platforms

  • Experience with Microsoft Azure AI Foundry, Microsoft Fabric, Databricks, or similar enterprise platforms

  • Experience with cloud infrastructure, containerisation, and production deployment of Python services

  • Familiarity with modern Python frameworks and tooling for APIs, data validation, testing, and dependency management

  • Experience integrating AI applications with enterprise data platforms and semantic layers

  • Exposure to consulting, financial services, manufacturing, or other enterprise environments

  • Experience supporting production applications used by external clients or business‑critical teams


About Us

Established in 2011, Trinetix is a dynamic tech service provider supporting enterprise clients around the world.


Headquartered in Nashville, Tennessee, we have a global team of over 1,000 professionals and delivery centers across Europe, the United States, and Argentina. We partner with leading global brands, delivering innovative digital solutions across Fintech, Professional Services, Logistics, Healthcare, and Agriculture.


Our operations are driven by a strong business vision, a people‑first culture, and a commitment to responsible growth. We actively give back to the community through various CSR activities and adhere to international principles for sustainable development and business ethics.


To learn more about how we collect, process, and store your personal data, please review our Privacy Notice: https://www.trinetix.com/corporate-policies/privacy-notice

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