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Backend Ai Engineer Jobs (NOW HIRING)

The Backend/AI Engineer will work on core API integration, optimize document processing, and leverage LLM technology to enhance document understanding at scale. Responsibilities : • Integrating and ...

Sr. Backend AI Engineer Location: Cleveland, OH Role Overview Move beyond traditional ETL. At BrightEdge, we are rebuilding our core data infrastructure into an AI-augmented processing engine . We're ...

Sr. Backend AI Engineer Location:  Cleveland, OH Role Overview Move beyond traditional ETL. At BrightEdge, we are rebuilding our core data infrastructure into an  AI-augmented processing engine

Sr. Backend AI Engineer Location: Cleveland, OH Role Overview Move beyond traditional ETL. At BrightEdge, we are rebuilding our core data infrastructure into an AI-augmented processing engine . We're ...

Backend/AI Engineer

San Francisco, CA · On-site

$150K - $300K/yr

The Opportunity As a Backend/AI Engineer, you'll work on our core API that powers document parsing for hundreds of companies. You'll integrate cutting-edge LLMs, optimize document processing ...

Java AI Developer - Backend AI

Phoenix, AZ · On-site

$50.25 - $65/hr

Java AI Developer - Backend AI Location: Phoenix, AZ/ Charlotte, NC Key Responsibilities * Develop and maintain backend services using Java and Spring Boot * Build event-driven systems using Kafka ...

AI Engineer - Backend

New York, NY · On-site

$150K - $300K/yr

The Role As a Backend AI Engineer at Traversal, you'll play a key role in designing and building the core systems behind our AI site reliability engineer, the infrastructure that enables real-time ...

AI Engineer Location: Chicago, IL (Hybrid / Remote) Core Responsibilities * Event Driven ... Design the backend logic for Retrieval-Augmented Generation (RAG), managing the lifecycle of vector ...

Member of Engineering, Backend - AI Location: Fully remote (East Coast preferred) Salary: Up to $290k + equity Industry: AI, Developer Platform, Software Engineering Role Overview Help power the ...

Applied AI Engineer

Sunnyvale, CA · On-site

$123K - $151K/yr

Job Title Applied AI Engineer We are a cybersecurity company building a next-generation AI-driven ... What You'll Do Development • Build and maintain backend services and AI-integrated features for ...

Overview We are looking for a Staff Software Engineer to lead the delivery of high-throughput, large-scale transactional systems and agentic AI applications. You will serve as a technical anchor ...

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Backend Ai Engineer information

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$60.5K

$147.7K

$199K

How much do backend ai engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for backend ai engineer in the United States is $147,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,000.00 and $172,000.00 per year, depending on experience, location, and employer.

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 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 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, and why are they important?

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 cities are hiring for Backend Ai Engineer jobs? Cities with the most Backend Ai Engineer job openings:
What states have the most Backend Ai Engineer jobs? States with the most job openings for Backend Ai Engineer jobs include:

Backend/AI Engineer

Reducto

San Francisco, CA • On-site

Full-time

Posted 7 days ago


Job description

Job Summary:
Reducto is an agentic document platform for leading AI teams, providing a toolkit for efficient document workflows. The Backend/AI Engineer will work on core API integration, optimize document processing, and leverage LLM technology to enhance document understanding at scale.
Responsibilities:
• Integrating and optimizing LLM calls for structured extraction, form filling, and document understanding tasks
• Making improvements to API design and pre-processing algorithms (chunking, structured extraction, etc.) based on customer feedback
• Building and improving document processing pipelines that handle everything from PDFs to spreadsheets at scale
• Experimenting with new techniques and output structures to improve LLM accuracy and reduce latency
• Building internal tooling and evals to better understand/analyze failure cases
• Working directly with the founders and customers to shape the product direction and engineering strategy
Qualifications:
Required:
• 2+ years of experience building real world applications and integrating LLMs into production systems
• Exceptional at Python
• Ability to debug, experiment, and iterate fast
• Comfortable getting hands-on with the full development lifecycle, from ideation to shipping to users
Preferred:
• Prior experience founding a company or building products at early stages
• Experience with prompt engineering, fine-tuning, or building AI agents
• Ambitious and driven, and care a lot about doing great work with great people
• Keep up with the latest developments in ML/AI
Company:
Reducto is an AI-driven API that specializes in converting unstructured documents like PDFs and images into structured data. Founded in 2023, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.