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AI Software Engineer II
NCCAI Software Engineer II developing AI-powered features within NCC's SaaS platform. Collaborating with cross-functional teams to integrate LLMs and machine learning into customer-facing applications.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in designing and deploying AI-powered features within SaaS platforms, with strong capabilities in developing scalable backend services and REST APIs. Demonstrates expertise in integrating LLMs and cloud AI services, while maintaining high standards of code quality and performance optimization.
Highest-signal resume keywords
Python DevelopmentRESTful API DevelopmentLLM IntegrationCloud Platform ExperienceSoftware Engineering Best Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonC#JavaJavaScriptREST APIsData ModelingSQLNoSQLAI Services IntegrationBackend Development
Soft Skills
Analytical SkillsProblem-SolvingCollaborationCommunication
Tools & Technologies
AWSAzureGoogle CloudGit
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceSoftware Engineering
Industry Keywords
SaaSAI WorkflowsApplication PerformanceScalabilityCode Reviews
Tech Stack
Tools & technologiesAWSAzureCloudJavaJavaScriptNoSQLPythonSQL
About the role
Key responsibilities & impact- Design, build, and deploy AI-powered features within our SaaS platform
- Integrate LLMs and cloud AI services into production applications
- Develop scalable backend services, REST APIs, and application integrations
- Build and maintain data pipelines that support AI workflows
- Contribute across the application stack, including backend services and frontend enhancements as needed
- Collaborate with Product Managers, UX Designers, and Software Engineers to deliver customer-centric solutions
- Rapidly prototype new AI capabilities and iterate on customer feedback
- Write clean, maintainable, well-tested code that follows software engineering best practices
- Optimize application performance, scalability, and reliability
- Participate in code reviews and contribute to architectural decisions
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience)
- 2–4 years of professional software engineering experience
- Experience developing applications with Python, C#, Java, JavaScript, or similar object-oriented languages
- Experience with consuming or integrating LLMs and AI services via APIs
- Experience building RESTful APIs and backend application services
- Working knowledge of cloud platforms, including AWS, Azure, or Google Cloud
- Experience with Git and modern software development practices
- Understanding of databases and data modeling (SQL and/or NoSQL)
- Strong analytical and problem-solving skills
- Excellent collaboration and communication skills
Benefits
Comp & perks- Medical, Dental, Vision Insurance
- Company Paid Life and Short-Term Disability Benefits
- Voluntary opportunity to purchase Supplemental Life and Disability Benefits
- Unrestricted Paid Time Off
- 401k Plan
- Generous uncapped compensation plans for sales positions
- Dynamic Team Culture
- Opportunity to work hybrid or fully remote in some roles