<div>Ministry Brands is looking for a Senior Software Engineer to join our growing team!&nbsp;</div><div> &nbsp;</div><div><strong>Who we are&nbsp;</strong></div><div>Ministry Brands is a leading provider of SaaS operational management systems, payments platforms, digital engagement tools and background screening solutions for faith-based, non-profit and for-profit organizations. We serve more than 95,000 customers as a trusted partner in digital transformation and enablement – advancing missions, driving efficiencies, and building engaged communities for more than four decades. The diverse and real-world experiences of our team members serving their communities makes us stronger together and enhances our ability to advance digital transformation for the greater good.   &nbsp;</div><div>  &nbsp;</div><div>Ministry Brands is committed to acknowledging and valuing our employee differences and to creating an environment in which every individual’s unique strengths and abilities are developed and valued. Our employees share in the responsibility for creating this environment and demonstrate mutual respect and acceptance in the workplace. We welcome everyone and are dedicated to creating a culture where all our employees have equal opportunity to be heard and reach their full potential.  &nbsp;</div><div><br><strong>Available Location</strong>: Alpharetta, GA &nbsp;</div><div><br><strong>Hybrid Working</strong>: Team members are expected to come into the Alpharetta office as needed, based on business requirements and team collaboration needs. There is no fixed minimum number of in-office days; instead, attendance will be determined by project demands, meetings, and manager guidance. Any changes to your primary work location should follow the appropriate process as outlined in our handbook.&nbsp;</div><div><br><strong>What You'll Do</strong>: &nbsp;</div><div>As a Senior Software Engineer, you will be a seasoned .NET Developer who thrives on building scalable applications and pushing the boundaries of what’s possible with AI-driven solutions. This role blends deep technical expertise with a forward-thinking mindset, leveraging tools such as GitHub Copilot to accelerate development and improve code quality. You’ll work across the entire stack—from backend APIs to intuitive React frontends—while also contributing to the design and implementation of features powered by machine learning and LLM-based architectures.&nbsp;</div><div>&nbsp;</div><div><strong>Key Responsibilities</strong>:&nbsp;</div><div>&nbsp;</div><div><strong>Application Development&nbsp;</strong></div><ul><li>Architect, develop, and maintain full-stack applications using .NET 8+, C#, ASP.NET, and React.&nbsp;</li><li>Build clean, scalable RESTful APIs and microservices&nbsp;</li><li>Implement responsive, component-driven UI using React, JavaScript, and modern frontend tooling&nbsp;</li><li>Ensure high performance, security, and reliability across the stack&nbsp;</li><li>Update and improve existing .NET and ASP applications&nbsp;</li></ul><div>&nbsp;</div><div><strong>AI &amp; Intelligent Services&nbsp;</strong></div><ul><li>Design and implement AI-powered features, including integration with LLMs, vector databases, and inference services&nbsp;</li><li>Collaborate with other development and product teams to translate concepts into production-ready capabilities&nbsp;</li><li>Build pipelines and services that support model deployment, fine-tuning, and monitoring&nbsp;</li></ul><div>&nbsp;</div><div><strong>Developer Productivity &amp; Tooling&nbsp;</strong></div><ul><li>Use GitHub Copilot and related AI-assisted development tools to accelerate coding, testing, and documentation&nbsp;</li><li>Advocate for best practices in code quality, automation, and developer experience&nbsp;</li><li>Participate in code reviews, architectural discussions, and continuous improvement initiatives&nbsp;</li></ul><div>&nbsp;</div><div><strong>Collaboration &amp; Leadership&nbsp;</strong></div><ul><li>Mentor junior developers and contribute to a culture of technical excellence&nbsp;</li><li>Work closely with architects, product managers, UX designers, and cross-functional teams to deliver high-impact features&nbsp;</li><li>Contribute to technical decision-making and guide the evolution of application architecture&nbsp;</li></ul><div>&nbsp;</div><div><strong>Who You Are:&nbsp;</strong></div><ul><li>Passionate about software development and enthusiastic about helping purpose-driven organizations &nbsp;</li><li>Bachelor’s degree in computer science, engineering, or related field, or an equivalent combination of education and experience&nbsp;</li><li>5+ years of professional software development experience&nbsp;</li><li>Strong expertise in C#, .NET 8+, Entity Framework, and API development&nbsp;</li><li>Advanced proficiency with React, TypeScript, and modern frontend frameworks&nbsp;</li><li>Hands-on experience integrating or developing AI/ML services, such as LLMs, embeddings, or model-driven workflows&nbsp;</li><li>Familiarity with GitHub Copilot or similar AI-assisted development tools&nbsp;</li><li>Strong understanding of CI/CD pipelines, DevOps practices, and containerization (Docker/Kubernetes)&nbsp;</li><li>Excellent problem-solving skills and the ability to lead complex technical initiatives&nbsp;</li></ul><div>&nbsp;</div><div><strong>Preferred Qualifications:&nbsp;</strong></div><ul><li>Experience building cloud native applications (Azure preferred)&nbsp;</li><li>Experience with Azure services, APIs, or custom model deployment&nbsp;</li><li>Background in distributed systems, performance tuning, or large-scale application design&nbsp;</li><li>Prior experience mentoring teams or leading technical projects&nbsp;</li></ul><div>&nbsp;</div><div><strong>What Success Looks Like:&nbsp;</strong></div><ul><li>You deliver high-quality, maintainable code that scales&nbsp;</li><li>You elevate the team’s productivity by championing AI-assisted development&nbsp;</li><li>You help shape the architecture and roadmap for intelligent, modern applications&nbsp;</li><li>You collaborate effectively and contribute to a culture of innovation and excellence&nbsp;</li></ul><div>&nbsp;</div><div><strong>Physical Considerations:&nbsp;</strong></div><ul><li>Ability to work efficiently and be productive in a remote work environment&nbsp;</li><li>Ability to handle extended periods of computer-based work, and collaborate with team via Microsoft Teams, Zoom, and other meeting technologies&nbsp;</li></ul><div>&nbsp;</div><div><strong>Travel Considerations:&nbsp;</strong></div><ul><li>Domestic and/or international travel required, estimated up to 5%&nbsp;</li></ul><div><br><strong>Benefit offerings designed to promote a life of balance!   <br></strong> &nbsp;</div><div>At Ministry Brands, we recognize that your career is just one important piece of your dynamic life. We offer a robust range of benefit offerings designed to cultivate a lifestyle of balance and personal success.  <br>  <br><strong>Robust healthcare options</strong> – Employees have several healthcare options to choose from in order to find what works best for them. &nbsp;</div><div><br><strong>Flexible paid time off</strong> – There is no perfect, one size fits all balance between work and home. We provide flexible work schedules, PTO for vacation, and up to 80 hours of paid sick/safe leave. We also feature 11.5 days of fully paid holidays!  &nbsp;</div><div><br><strong>Paid parental leave</strong> – Adding a new child to the family is a big adjustment! We provide the time and income to allow parents to adjust to their new normal in the healthiest way possible.  &nbsp;</div><div><br><strong>Mental health support</strong> – Ministry Brands is a stigma free company with the National Alliance on Mental Illness. Associates are supported through an Employee Assistance Program which provides access to in-person or virtual counseling at no cost.  &nbsp;</div><div><br><strong>Professional development reimbursement</strong> – Ministry Brands aims to support your professional development and empower you to drive your career by providing financial assistance to our associates seeking to further their education and career. &nbsp;</div><div><br><strong>Employee Recognition &amp; Rewards</strong> - At Ministry Brands, we use Nectar to celebrate achievements and strengthen our culture of recognition. This social platform empowers employees to send meaningful kudos, award points redeemable for rewards, and highlight contributions that exemplify our values. Through Nectar, we foster engagement and appreciation while providing tangible ways to recognize great work.&nbsp;</div><div><br>Ministry Brands is proud to be an Equal Employment Opportunity Employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.&nbsp;</div>

Sr. Software Engineer

<div>AI / ML Research Engineer Discovery, Search and Recommendation <br><br><strong>About Rejoice<br></strong><br>Rejoice is an early-stage technology startup that is building a Christian audio platform for worship, music, podcasts, and more. <br><br>Rejoice is built to advance the Gospel of Jesus Christ, serve the global and local Church, and give families a screen-free place they can truly trust.<br><br>The founding team is highly skilled and experienced at building, shipping, and scaling technologies at a global level.<br><br>-<br><br><strong>About the Role<br></strong><br>Rejoice is building a redemptive DSP which includes designing a faith-aligned discovery, search, and recommendation system.<br><br>Most audio platforms optimise for time on platform. We are optimising for depth, formation, and faithful discovery.<br><br>You will help design and build the core systems that power discovery across a growing global catalogue of Christian audio.<br><br>This is a technically demanding problem at the intersection of recommendation systems, semantic understanding, and structured knowledge.<br><br>-<br><br><strong>What You Will Work On <br></strong><br>1. Content embedding systems that capture theological, semantic, and contextual relationships across audio content<br>2. A structured knowledge layer connecting content to scripture references, theological themes, artists, churches, and ministries<br>3. Listening sequence models that learn how people move between worship music, podcasts, and devotional audio<br>4. Candidate retrieval and ranking pipelines informed by state-of-the-art recommendation research<br>5. Data integrity systems that detect anomalous listening patterns and protect training data quality<br>6. Objective functions that go beyond engagement, including completion depth, content diversity, and discovery of new creators<br>7. Signal-level detection of artificial streaming behaviour as part of the platform's broader integrity architecture<br><br>-<br><br><strong>What Rejoice Is Looking For<br></strong><br>1. Strong foundation in machine learning, recommendation systems, or information retrieval<br>2. Experience with embedding models, vector similarity search, or sequential behaviour modelling<br>3. Comfort working across multi-modal data including audio metadata, transcripts, user behaviour, and structured knowledge<br>4. A genuine interest in building systems that are trustworthy, explainable, and resistant to manipulation<br>5. Experience in complex or high-integrity ML environments is a plus<br>6. PhD or equivalent research background valued but not required<br>7. Alignment with the mission of Rejoice and a sincere appreciation for the Christian context in which the platform operates<br><br>Most recommendation systems were never designed to understand the richness of the Christian faith.<br><br>Building systems that can faithfully represent and surface this structure presents genuinely interesting research and engineering challenges.<br><br>If you want to work on serious machine learning problems while contributing to technology that serves the Church and honours Christ, this is a rare opportunity.<br><br>-<br><br><strong>How To Apply<br></strong><br>Send a brief note about yourself, what you have built, and why this role interests you to: hello@rejoiceapp.io<br><br>No formal cover letter or CV required.</div>

AI / ML Research Engineer

<div>Faith Comes By Hearing (FCBH) is dedicated to making God’s Word accessible to every person through audio and visual Scripture. Our Technology Development team advances this mission by creating and refining innovative tools that reach people in their heart languages around the world.</div><div><br>The <strong>A.I. Research Assistant</strong> supports FCBH’s growing efforts in audio-based artificial intelligence research. This role focuses on refining, testing, and optimizing AI models for <strong>speech recognition</strong>, <strong>audio search</strong>, and <strong>low-resource language processing</strong>. Working closely with the A.I. Research Lead, you’ll help transform proof-of-concept models into practical tools that further FCBH’s global mission. &nbsp; This position reports to and is located in our Albuquerque office, this is not a remote position.<br><br></div><div><strong><br>Responsibilities include:</strong></div><div>- Run experiments on audio AI models under the guidance of the Research Lead.<br>- Optimize and adapt models for improved performance in low-resource languages.<br>- Prepare datasets – cleaning, labeling, and augmenting audio data.<br>- Conduct evaluations and benchmarking of model outputs.<br>- Document research processes, results, and improvements.<br>- Communicate effectively to clarify objectives and report issues or results.<br>- Support knowledge sharing within the team and with partners.<br><br></div><div><strong>Requirements</strong></div><div><br><strong>Required</strong>:<br>- Technical proficiency in Python and AI/ML frameworks.<br>- Ability to modify and optimize existing codebases.<br>- Strong analytical and problem-solving skills.<br>- Effective communication skills for clarifying research objectives and resolving issues.<br>- Team player with a servant-leader mindset.<br><br><strong>Preferred</strong>:<br>- Experience in speech/audio processing or applied machine learning.<br>- Familiarity with low-resource language data challenges.<br>- Graduate-level coursework or equivalent experience in AI, linguistics, or related fields.</div>

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