Senior Software Engineer, AI

Senior Software Engineer, AI (Full-Stack)
Location: U.S.-based
Travel: Some assignments may require 50–80% travel, while others may require little to no travel. At this time, we are only considering candidates who are open to travel.
Hours: Typically 40+ hours per week during an active project
Duration: Varies by project
Engagement: W-2 contract opportunities only
Bring your software engineering expertise to complex, high-impact consulting projects. MBO Partners is supporting a leading global professional services firm in developing a flex talent network of experienced Software Engineers.
Professionals who successfully complete the qualification process and are added to the network will be considered ready to deploy and may receive early consideration for projects aligned with their expertise, availability, and travel preferences.
What You May Work On
Design, develop, and deploy scalable, production-ready software solutions
Build secure APIs and scalable backend solutions
Develop and implement AI-enabled solutions
Work across the full stack, cloud platforms, databases, and CI/CD environments
Evaluate frameworks and technologies and select the right tools for each project
Design cloud-native architectures and infrastructure
Apply AI-assisted engineering and agent-based development practices
Collaborate with cross-functional teams and mentor other engineers
Partner with clients to solve complex technical and business challenges
What You’ll Bring
7+ years of experience developing full-stack applications and writing readable, testable, maintainable, and scalable code
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
Experience with SQL and NoSQL databases and designing secure REST and GraphQL APIs
Experience with microservices, distributed architectures, and software design patterns
Experience with at least two cloud providers, including AWS, Azure, or GCP
Experience building infrastructure-as-code and CI/CD pipelines using Jenkins, Docker, CircleCI, or similar tools
Advanced experience with AI-assisted engineering, specialized agents, reusable agent tooling, and AI safety
Experience architecting AI systems and applying LLM evaluation frameworks, guardrails, and validation methods to production-grade AI applications
Security-first mindset with experience implementing OAuth, OIDC, and secure authentication and authorization
Strong understanding of testing, performance, security, scalability, reliability, and maintainability
Experience leading cross-functional engineering teams and mentoring engineers
Strong communication, collaboration, and ability to work autonomously
Willingness and ability to travel 50–80% when required
What to Expect After Applying
Candidates selected to advance will complete a technical assessment, identity verification, conflict-of-interest review, and MBO’s Right to Represent authorization. Those who successfully complete these steps may be added to the flex talent network as ready-to-deploy consultants and considered for future client projects.
Compensation
The anticipated compensation for active project assignments is $70-$150 per hour on a W-2 basis. Actual pay rate will depend on experience, qualifications, location, and other job-related factors. While actively assigned, consultants will receive a fixed weekly amount calculated using the applicable hourly rate and estimated schedule. Compensation applies only during a confirmed project assignment.
Eligibility and Assignment Information
Candidates must reside in and be legally authorized to work in the United States. We are engaging directly with candidates and cannot accept third-party submissions.
This posting supports anticipated client needs and is not an offer for a specific project.

Work arrangement
No