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Backend Ai Engineer Jobs (NOW HIRING)

Arize AI

Senior AI Product Engineer, Backend

Arize AI is a leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to develop high-performing applications. The role involves building scalable backend ...

Fortinet, Inc.

Staff Engineer - AI Agent

Sunnyvale, CA · On-site

We're looking for an Applied AI Engineer with strong backend and AI experience who can architect, build, and scale secure, performant systems. You'll work closely with product, AI/ML, and design ...

Fortinet

Staff Engineer - AI Agent

Sunnyvale, CA · On-site

We're looking for an Applied AI Engineer with strong backend and AI experience who can architect, build, and scale secure, performant systems. You'll work closely with product, AI/ML, and design ...

Kiewit

Sr AI Engineer

Omaha, NE · On-site

$100K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role focuses on building scalable, secure backend AI services, reusable AI capabilities, and ... This engineer independently delivers complex platform capabilities, mentors junior engineers, and ...

JD Power

AI Engineer

You build backend services that connect to Snowflake, API integrations that wire agent outputs to JD Power's core platforms, frontend components the AI Experience Engineer builds on. The pilots you ...

Apex Systems

Sr. AI Engineer

La Vista, NE · On-site

$97K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Build scalable backend services that orchestrate enterprise AI capabilities. Develop integrations with Azure AI Foundry, Anthropic Claude SDK, Azure OpenAI, and other approved AI providers. Design ...

Fortinet

Staff Engineer - AI Agent

Sunnyvale, CA · On-site

We're looking for an Applied AI Engineer with strong backend and AI experience who can architect, build, and scale secure, performant systems. You'll work closely with product, AI/ML, and design ...

Fortinet, Inc.

Staff Engineer - AI Agent

Sunnyvale, CA · On-site

We're looking for an Applied AI Engineer with strong backend and AI experience who can architect, build, and scale secure, performant systems. You'll work closely with product, AI/ML, and design ...

Fortinet, Inc.

Staff Engineer - AI Agent

Sunnyvale, CA · On-site

We're looking for an Applied AI Engineer with strong backend and AI experience who can architect, build, and scale secure, performant systems. You'll work closely with product, AI/ML, and design ...

career

AI Engineer

Mountain View, CA · On-site

  • Medical

  • Retirement

You follow where AI is heading and ground engineering decisions in product goals, user behavior ... Identify and troubleshoot issues across the full stack, including frontend, backend, AI ...

career

AI Engineer

Mountain View, CA

$150K - $190K/yr

You follow where AI is heading and ground engineering decisions in product goals, user behavior ... Identify and troubleshoot issues across the full stack, including frontend, backend, AI ...

Fortinet, Inc.

Staff Engineer - AI Agent

Sunnyvale, CA · On-site

We're looking for an Applied AI Engineer with strong backend and AI experience who can architect, build, and scale secure, performant systems. You'll work closely with product, AI/ML, and design ...

Fortinet

Staff Engineer - AI Agent

Sunnyvale, CA · On-site

We're looking for an Applied AI Engineer with strong backend and AI experience who can architect, build, and scale secure, performant systems. You'll work closely with product, AI/ML, and design ...

career

AI Engineer

Mountain View, CA

  • Medical

  • Retirement

You follow where AI is heading and ground engineering decisions in product goals, user behavior ... Identify and troubleshoot issues across the full stack, including frontend, backend, AI ...

Tata Consultancy Service Limited

AI Engineer

Austin, TX · On-site

$100K - $130K/yr

AI Engineer (Backend TypeScript or Python... the team is leaning to Typescript) - Strong backend engineering in TypeScript/Node.js (preferred) or Python, with production API design experience - Has ...

Sandstone

AI & ML Engineer

New York, NY · On-site

$225K - $300K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our engineering team is elite, our lawyers ship code every day, and we are dedicated to building ... Work across backend AI services, data pipelines, APIs, and product surfaces * Make pragmatic system ...

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Backend Ai Engineer information

See salary details

$60.5K

$147.7K

$199K

How much do backend ai engineer jobs pay per year?

As of Aug 18, 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 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.

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Cities with the most Backend Ai Engineer job openings:

What states have the most Backend Ai Engineer jobs?

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Backend Ai Engineer jobs near you
Infographic showing various Backend Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $147,662 per year, or $71 per hour.

Senior AI Product Engineer, Backend

Arize AI

Remote

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Arize AI is a leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to develop high-performing applications. The role involves building scalable backend services, designing APIs for machine learning workflows, and collaborating with product and engineering teams to enhance product offerings.
Responsibilities:
• Write maintainable, scalable, and performant backend code primarily in Go, Java, and Python, with opportunities to work in TypeScript.
• Build high-volume and highly available analytics systems.
• Design and build APIs specific to our customers’ Machine Learning and LLM workflows.
• Prototype, optimize, and maintain scalable backend services that power the Arize core platform.
• Extend, and contribute back to, open source OLAP databases and distributed message queue frameworks.
• Develop and integrate collection tools for robust monitoring of ML and LLM pipelines.
• Research and implement cutting-edge visualization & dimensionality reduction algorithms in a distributed environment.
• Collaborate with our product, design, and directly with customer engineering teams to enhance and expand our product offerings.
• Contribute to the build our own in-house AI Agents
Qualifications:
Required:
• 5+ years of experience working with high-performance backend systems.
• Strong experience writing Go, Python, TypeScript/Node, Java, or similar server programming languages.
• Enthusiasm and interest in the AI and LLM ecosystem, with a desire to learn and stay updated on emerging technologies.
• Previous work building and operating highly complex SaaS platforms/systems.
• Knowledge of working with public clouds & container orchestration - AWS, GCP, Azure, Kubernetes, etc.
Preferred:
• Experience with distributed stream processing - Kafka, Gazette, or similar.
• Experience with OLAP systems.
• Familiarity with system observability tooling like Prometheus.
• Working knowledge of Machine Learning and/or Data Science.
• First-hand experience working with large language models (LLMs) or developing AI products.
Company:
Arize AI develops an AI engineering platform for observing, evaluating, debugging, and improving AI applications and agents. Founded in 2020, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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