Senior AI Software Developer

Job not on LinkedIn

October 24

🌵 Arizona – Remote

Although this job is listed in Arizona, this company may be open to hiring remote in other states.

⛰️ Colorado – Remote

Although this job is listed in Colorado, this company may be open to hiring remote in other states.

+28 more states

🌵 Arizona – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🌾 Nebraska – Remote 🏖️ New Jersey – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote 🧀 Wisconsin – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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SBS CyberSecurity

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Cybersecurity • SaaS • Compliance

SBS CyberSecurity is a cybersecurity company that provides managed security services, audits, testing, incident response, virtual CISO services, and regulatory compliance support while also offering a GRC SaaS product (TRAC) for risk and vendor management. The company runs an education arm (SBS Institute) with role-specific certifications and free webinar training, and serves banks, credit unions, healthcare, telecom and other regulated industries. SBS combines consulting, software, and training to help organizations streamline compliance, strengthen security posture, and manage third-party risk.

51 - 200 employees

Founded 2004

🔒 Cybersecurity

☁️ SaaS

📋 Compliance

📋 Description

• Designing and developing new AI features from conception to production in an Agile environment • AI/ML Model Development: Design, develop, and deploy advanced AI and machine learning models • Architecture & Design: Define system components, APIs, and data contracts for scalable AI workflows • AI Integration & Evaluation: Orchestrate model calls, tool-use chains, and feedback loops for optimal AI performance • Solving difficult problems, learning from, and coaching other developers • Focusing on building solutions in a cost-effective manner with consideration to the environmental impact of AI solutions • Taking ownership of large complex projects and seeing them through to completion in a timely manner • Collaborating with fellow engineers to create and enforce best practices, team standards, and project guidelines • Providing a strong voice in design and implementation decisions in a fast-paced environment • Working closely with peers in reviewing and improving each other’s code commits • Recognizing existing inefficiencies and opportunities to improve the user experience and functionality • Producing detailed specifications and documentation when needed • Participating in the hiring process of other engineers

🎯 Requirements

• 4-year degree in Computer Science or Software Engineering, or equivalent combination of education and related experience/training • Master’s Degree preferred • 5 years of experience in software development with 2 years in AI and machine learning development • Experience building an enterprise SaaS product with built-in AI capabilities • Knowledge of RAG (Retrieval-augmented generation) and multi-tenant environments • Strong understanding of machine learning algorithms and neural networks • Excellent analytical and organizational skills • Effective communication and interpersonal skills • Strong background in mentorship and coaching • Strong knowledge of .NET Core and its frameworks • Strong background with project management tools (e.g. Microsoft Azure DevOps, Jira, Github) • Familiarity with testing strategies including QA, Unit Testing, Integration Testing, and UI Testing • Preferred Skills: Familiarity with dynamic content technologies (e.g. Razor, VueJs, React) • AI/ML Frameworks: Python, R, TensorFlow, PyTorch, Keras, scikit-learn • Cloud Platforms: AWS, Azure, Google Cloud • Strong background in database management • Data Handling: Data modeling & engineering, big data analysis, SQL/NoSQL databases • Strong application security background, experience with code analysis tools and resolving identified issues • Ability to establish and drive AI principles for development at SBS • Familiarity working with, developing, and troubleshooting relational databases • Familiarity with ELT processes such as data lake-houses, data mesh architecture and data warehousing • Familiarity with authentication protocols (e.g., OAuth2, SAML) and directory services (e.g., LDAP) • Knowledge of the latest advancements in the field of artificial intelligence (AI)

🏖️ Benefits

• Enjoy a flexible and family-friendly environment with the benefit of working from home • Receive competitive wages and an excellent benefits package with many premiums paid for by the company • Be encouraged to continue growing in your profession with reimbursement for industry certifications and education