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Backend Ai Engineer Jobs in Indiana (NOW HIRING)

K1X

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

... AI teams on data solutions. Requirements Who You Are - 4-8+ years of experience in data engineering or backend engineering with a data focus. - Strong experience building data pipelines and ETL/ELT ...

Virtusa Corporation

Senior Consultant

Columbus, IN · On-site

... developer, creation and maintenance of backend applications Experience in developing, debugging, and maintaining code in a large corporate environment .Good experience in Java, Springboot, and AI ...

Salesforce

Sr. DNS Engineer

Indianapolis, IN · On-site

$103K - $141K/yr

Agentforce is the future of AI, and you are the future of Salesforce. The Experience Our Public ... Minimum of 5+ years of backend software development experience (Python) working with Cloud ...

Salesforce, Inc.

Sr. DNS Engineer

Indianapolis, IN · On-site

$103K - $141K/yr

Agentforce is the future of AI, and you are the future of Salesforce. The Experience Our Public ... Minimum of 5+ years of backend software development experience (Python) working with Cloud ...

Salesforce, Inc.

Sr. DNS Engineer

Indianapolis, IN · On-site

$103K - $141K/yr

Agentforce is the future of AI, and you are the future of Salesforce. The Experience Our Public ... Minimum of 5+ years of backend software development experience (Python) working with Cloud ...

Ksmcpa

Senior Software Engineer

Indianapolis, IN · On-site

$117K - $154K/yr

Position Summary The AI and Innovation team builds and productionizes high-impact internal software ... Your primary focus will be on the data and backend layer of applications and you will work closely ...

The AES Group

Microsoft Fabric Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Our client is building a governed data and AI platform, integrating device, laboratory, partner ... backend engineering experience delivering production-grade data pipelines, integrations, and ...

PinnaclePartners

Software Engineer

Fort Wayne, IN · On-site

... the database, backend, and UI layers Work within and improve complex legacy systems while ... modern AI-assisted development tools Preferred: Knowledge of automated testing frameworks and ...

Deloitte

Epic Denials Management Operator

Indianapolis, IN · Remote

$17.25 - $23/hr

Position Summary Join Deloitte's AI & Engineering practice to support hospital denials management to deliver back-end Revenue Cycle Management (RCM) services, including Billing and Claims Submission ...

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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.

Data Engineer

K1X

Indianapolis, IN • On-site, Remote

$109K - $131K/yr

Full-time

Medical, Retirement, PTO

Posted 9 days ago

Job description

We are K1x. Our platform powers the first fully digital K-1, transforming how alternative investment tax data is extracted, validated, distributed, and analyzed. Trusted by leading institutional investors, fund administrators, and accounting firms, K1x replaces manual, error-prone workflows with scalable, intelligent software. k1x.io
As our platform evolves toward deeper analytics, insights, and AI-driven capabilities, data engineering is becoming a foundational pillar of our product and technology strategy. 

About The Role

We are seeking a Data Engineer to design, build, and maintain the data pipelines and infrastructure that power K1x's machine learning initiatives and future analytics-driven product features. 
This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be responsible for creating reliable, scalable, and high-quality data systems that enable downstream ML models, reporting, and embedded analytics. 

What You'll Do 

- Design, build, and maintain scalable data architectures supporting operational, analytical, and ML workloads. 
- Contribute to the evolution of K1x's data lakehouse strategy, including adoption of Snowflake. 
- Develop and maintain robust ETL/ELT pipelines for large-scale data processing. 
- Implement data quality checks, validation, and monitoring. 
- Enable machine learning workflows with clean, well-structured datasets. 
- Support analytics and reporting use cases including Power BI. 
- Partner with Product, Engineering, and AI teams on data solutions. 

Requirements

Who You Are 

- 4-8+ years of experience in data engineering or backend engineering with a data focus. 
- Strong experience building data pipelines and ETL/ELT workflows. 
- Proficiency with SQL and relational data modeling. 
- Experience with cloud-based data platforms (Azure preferred). 
- Understanding of data quality, reliability, and monitoring. 
- Strong communication and collaboration skills. 

It's Truly a Match If You Have 

- An engineering mindset applied to data platforms. 
- Passion for building scalable, reliable data foundations. 
- Interest in enabling ML and analytics-driven products. 
- Experience or familiarity with Snowflake, SQL Server, Azure, and Power BI. 
- Comfort balancing near-term delivery with long-term architecture. 

Benefits

  • Unlimited Vacation Policy+ Sick Time + Holidays
  • Paid Parental Leave
  • Fully Remote Opportunity
  • Healthcare Benefits and 401K
  • Growing Startup Culture
K1x logo

About K1x

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Elk Grove Village, IL, US

Year founded

2022

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