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Backend Ai Engineer Jobs (NOW HIRING)

Jobgether

As a Backend AI Software Engineer, you will design and build robust, scalable, and high-performance backend systems that power innovative digital health products. You will work primarily with ...

Freshworks

Staff Backend AI Platform Engineer

San Mateo, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

We are seeking a Backend AI Platform Engineer to lead the development of core backend services powering our Agentic AI Platform. In this role, you will be the primary technical driver for building ...

Posh

Senior Software Engineer, Backend (AI)

New York, NY · On-site

$200K - $220K/yr

About the Role We're looking for a Senior Backend Engineer to join our AI Platform team, a small, fast-moving group building the backend infrastructure that powers AI-native product experiences at ...

AGI Inc

AI Engineer - Backend

San Francisco, CA · On-site

Trustworthy, consumer-grade agents that redefine human-AI collaboration for millions. Software ... This is for the backend engineer who has been the on-call hero before, who has strong opinions ...

WeAreCareer

AI Engineer

Mountain View, CA · On-site

Required : • 3+ years of software engineering experience, including end-to-end ownership of at least one production AI application architecture spanning UI, backend, data, models, tools, and ...

THE HOTH

Principal AI Engineer

Saint Petersburg, FL · On-site

$180 - $200/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the Position We're looking for a Principal AI Engineer to help build the future of NextNet AI ... Design scalable backend services and APIs. * Improve platform performance, reliability, and ...

NTT DATA Services

Backend & AI/ML Engineer

Alpharetta, GA · On-site +1

$106K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are currently seeking a Backend & AI/ML Engineer to join our team in Alpharetta, Georgia,, Georgia (US-GA), United States (US). Day to Day Job Duties: * Develop and support cloud-native data ...

MLabs

Staff Software Engineer - Backend & AI Infra

Staff Software Engineer - Backend & AI Infra Remote Full-time Location: Based in US to GMT timezones Compensation: Competitive Compensation Package Our client is a high-growth technology firm. They ...

Kiewit Corporation

Sr AI Engineer

Lone Tree, CO · On-site +1

$103K - $141K/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 ...

Kiewit Corporation

Sr AI Engineer

Papillion, NE · On-site +1

$98K - $135K/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 ...

Posh

Senior Software Engineer, Backend (AI)

New York, NY · On-site

$200K - $225K/yr

About the Role We're looking for a Senior Backend Engineer to join our newly formed AI R&D pod-a small, fast-moving team dedicated to building the future of AI-native product experiences at Posh.

Kiewit Corporation

Sr AI Engineer

Lenexa, KS · On-site +1

$98K - $134K/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 ...

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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.

More about Backend Ai Engineer jobs

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:

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

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

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.

Backend AI Software Engineer (all) - TypeScript / NodeJS

Jobgether

Full-time

Posted 8 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Backend AI Software Engineer (all) - TypeScript / NodeJS based in Netherlands.

As a Backend AI Software Engineer, you will design and build robust, scalable, and high-performance backend systems that power innovative digital health products.
You will work primarily with TypeScript and Node.js to develop APIs, data processing pipelines, integrations, and distributed services.
The role combines hands-on software engineering with cloud infrastructure, database optimization, security, and AI-assisted development.
You will contribute to architectural decisions, performance improvements, automated testing, and reliable deployment across modern cloud environments.
Collaboration will be central, with close interaction across frontend engineering, product, design, and other technical teams.
You will work in a fast-moving, international environment where engineers have meaningful ownership and can directly influence the products they build.
This is an opportunity to apply modern backend and AI technologies to digital health solutions designed to create meaningful impact for patients worldwide.

Accountabilities
  • Design, develop, and maintain clean, efficient, scalable, and reliable backend applications using TypeScript, JavaScript, and Node.js.
  • Build and maintain robust RESTful APIs and integrate third-party APIs and external services.
  • Implement secure authentication and authorization mechanisms, including JWT and OAuth-based approaches.
  • Develop data processing pipelines, background jobs, and backend workflows that support reliable product functionality.
  • Design, optimize, and maintain database schemas, migrations, queries, and data structures, with a primary focus on MongoDB and Redis.
  • Ensure data consistency, integrity, availability, and database performance through effective design and ongoing optimization.
  • Design scalable backend architectures using distributed-systems principles, caching strategies, load balancing, and appropriate scaling approaches.
  • Implement performance optimizations and caching solutions using technologies such as Redis or Memcached.
  • Deploy and manage backend applications across cloud environments including AWS and GCP.
  • Develop and maintain CI/CD pipelines, automated testing processes, and deployment workflows.
  • Monitor application performance, investigate production issues, and implement effective troubleshooting and reliability improvements.
  • Apply security best practices and support appropriate compliance requirements across applications and infrastructure.
  • Effectively leverage AI-assisted development tools as part of daily engineering activities to improve productivity and development quality.
  • Collaborate closely with frontend engineers, product managers, designers, and other stakeholders to deliver high-quality solutions.
  • Participate in code reviews, uphold engineering standards, and create comprehensive technical documentation.
  • Contribute to event-driven architectures, message-based systems, monitoring, logging, and data or machine-learning integrations where required.
Requirements
  • 7+ years of professional backend software development experience.
  • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience supported by a strong technical portfolio.
  • Strong hands-on expertise with TypeScript/JavaScript and Node.js as a primary backend technology.
  • Experience with backend frameworks such as Express.js and familiarity with React for full-stack development is beneficial.
  • Strong experience designing and implementing RESTful APIs and integrating external services.
  • Understanding of API security, authentication, and authorization, including JWT and OAuth.
  • Experience with MongoDB and Redis, including database design, query optimization, caching, and data migration strategies.
  • Solid understanding of distributed systems, scalable architecture, load balancing, and performance optimization.
  • Experience with message queues and event-driven systems such as RabbitMQ or Apache Kafka.
  • Hands-on experience with AWS and/or GCP cloud environments.
  • Experience with Docker and Kubernetes for containerization and orchestration.
  • Familiarity with Git and modern development workflows using GitHub or GitLab.
  • Experience with unit, integration, and end-to-end testing frameworks, as well as performance testing and optimization.
  • Experience with API documentation and development tools such as Swagger and Postman.
  • Ability to effectively use AI-assisted development tools in day-to-day software engineering.
  • Strong analytical, problem-solving, debugging, and troubleshooting skills.
  • Excellent communication and teamwork abilities, with the ability to collaborate effectively in agile environments.
  • Experience with event-driven architecture, monitoring and logging platforms such as ELK, Prometheus, or Grafana is a plus.
  • Knowledge of machine learning integrations, data pipelines, Elasticsearch, or Solr is advantageous.
  • Familiarity with React Native or Expo is a bonus for candidates with cross-platform development exposure.
  • Candidates must have the legal right to live and work within the European Union.
Benefits
  • 100% remote working environment with flexibility to work from anywhere within the eligible region.
  • Opportunity to work on innovative digital health technology with the potential to positively impact millions of patients.
  • High-growth environment where individual contributions and technical decisions have visible impact.
  • International and diverse team bringing together professionals from multiple nationalities and cultural backgrounds.
  • Regular team events and company offsite weeks in attractive locations.
  • Provision of high-quality IT equipment, including a Mac computer.
  • Opportunities to work with modern technologies across TypeScript, Node.js, AWS, GCP, Kubernetes, distributed systems, and AI-assisted development.
  • Strong opportunities for technical growth, learning, and ownership within a fast-moving engineering environment.
  • Collaborative culture where engineers work closely with product, design, and other technical disciplines.
  • Exposure to complex digital health, healthcare, pharmaceutical, and data-driven technology challenges.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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