Software Engineer, AI (Full-Stack)

MBO Partners

United States

24 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

7 years minimum

Compensation

$156,000.0 - $312,000.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) JavaScript (Programming Language) Artificial Intelligence Amazon Web Services User Authentication Microsoft Azure C Sharp (Programming Language) Software Design Patterns Distributed Systems Spring Framework NoSQL OAuth

+18 more

OpenID Next.js Software Safety SQL Databases TypeScript Circleci Google Cloud ReactJS Backend Vue.js AngularJS Graphql Machine Learning Operations Front End Software Development Evaluation of Large Language Models Docker Jenkins Microservices

Requirements

7+ years of experience developing full-stack applications and writing readable, testable, maintainable, and scalable code\n
Deep proficiency in at least two frontend or backend frameworks, with experience across JavaScript/TypeScript, React, Angular, Next.js, Vue.js, Java, Spring, C#, or Node.js\n
Experience with SQL and NoSQL databases and designing secure REST and GraphQL APIs\n
Experience with microservices, distributed architectures, and software design patterns\n
Experience with at least two cloud providers, including AWS, Azure, or Google Cloud Platform\n
Experience building infrastructure-as-code and CI/CD pipelines using Jenkins, Docker, CircleCI, or similar tools\n
Advanced experience with AI-assisted engineering, specialized agents, reusable agent tooling, and AI safety\n
Experience architecting AI systems and applying LLM evaluation frameworks, guardrails, and validation methods to production-grade AI applications\n
Security-first mindset with experience implementing OAuth, OIDC, and secure authentication and authorization\n
Strong understanding of testing, performance, security, scalability, reliability, and maintainability\n
Experience leading cross-functional engineering teams and mentoring engineers\n
Strong communication, collaboration, and ability to work autonomously\n
Willingness and ability to travel 50-80% when required\n

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