FusionHit

Data Engineer

• Design and build data pipelines and warehouse components supporting the Elevate Finance data warehouse.
• Work primarily within the Oracle ecosystem, aligning with the client’s preference for Oracle-native solutions.
• Develop and/or support reporting in Oracle FDI, including report creation and optimization.
• Collaborate with the current data engineer and project leadership to turn business requirements into technical deliverables.
• Contribute to best practices for data architecture, quality, and scalability as the platform grows.

Senior Data Engineer, Oracle FDI

AI Engineer

• Architect and scale production-grade LLM systems with a focus on reliability, latency, and predictability.
• Design and implement LLM orchestration systems, including plugin APIs and agent workflows.
• Optimize and support multi-modal GenAI components such as voice, NLP, and visual modules.
• Manage cloud infrastructure on AWS (SageMaker, Lambda, EKS/ECS, DynamoDB).
• Monitor and ensure LLM service performance using observability and monitoring tools.
• Translate R&D models into robust, enterprise-ready AI products.
• Contribute to platform architecture and roadmap planning.
• Mentor team members and promote a collaborative engineering culture.

GenAI Engineer

• Fine-tune Whisper/WhisperX models for transcription and ambient listening tasks.
• Deploy self-hosted Whisper models on Azure cloud infrastructure.
• Design and implement an MLOps pipeline to support iterative training and deployment.
• Ensure high data quality using existing audio + transcript datasets.
• Collaborate on prompt engineering strategies for speech recognition improvements.
• Deliver a production-ready model before year-end.

AI Engineer, MLOps, Fine Tuning

Database Administrator

• Design, deploy, and maintain Azure-based database and infrastructure solutions that align with performance, security, and reliability goals.
• Manage and optimize databases (Azure SQL / Cosmos DB / MongoDB) for scalability, availability, and performance.
• Work with application and operations teams to ensure infrastructure supports development, testing, and production needs.
• Implement infrastructure automation and configuration management through IaC tools.
• Lead or assist in migrating legacy databases and systems to Azure cloud.
• Enforce best practices for security, cost efficiency, and compliance in the cloud environment.
• Continuously research and adopt emerging Azure and database technologies to improve architecture.

Database Administrator, SQL, Azure

Customer Success Manager

• Build the second version of a volunteer portal powered by Microsoft Dynamics 365 (D365) to support thousands of global volunteers completing pre-assignment requirements.
• Collaborate with architects and development teams to rearchitect and enhance the custom D365 CRM platform.
• Build custom entities, workflows, and integrations using Power Platform tools.
• Extend CRM functionality with server-side logic using the Dynamics 365 SDK for .NET.
• Maintain and optimize data structures to ensure performance, security, and data integrity.
• Implement intuitive, user-centric customizations to improve platform usability and adoption.
• Contribute to CI/CD pipelines using Azure DevOps for efficient code delivery and deployment.
• Participate in code reviews, technical design sessions, and knowledge-sharing activities.
• Stay up-to-date with advancements in Microsoft Dynamics 365, Power Platform, and Azure technologies.

Senior Microsoft Dynamics 365 CRM Engineer

• Lead the design and deployment of AI agents and orchestration frameworks for dynamic task automation.
• Develop and optimize Micro LLM deployments for performance at the edge.
• Design infrastructure-as-code systems to support scalable AI/ML deployments.
• Collaborate with DevOps and MLOps teams to build reliable, automated pipelines.
• Drive architectural decisions that impact AI workflows, model deployment, and system monitoring.
• Troubleshoot and enhance AI deployments in distributed environments, focusing on performance and cost-efficiency.
• Stay current on emerging trends in AI agents, micro-models, and edge technologies.

Android Engineer

• Develop Windows and Android applications that host and map API/IPC interfaces to biometric workflows using MAUI.NET libraries.
• Create, test, and maintain software installers and deployment packages (.MSIX and .APK).
• Implement and document WebAPI and IPC mechanisms for accessing biometric workflows externally from browser and non-MAUI apps.
• Build sample applications to demonstrate API/IPC usage for both platforms.
• Collaborate on diagnostic tools to monitor and visualize real-time server and device activity.
• Participate in phased development from core workflows to simpler APIs and eventually browser-based integration support.
• Contribute to repository management and ensure all project assets are documented and version-controlled.

Full Stack Systems Developer, MAUI.NET, C#, Android Native

• Self-host and fine-tune OpenAI’s Whisper (ideally WhisperX) for transcription and ambient listening use cases.
• Establish and implement a robust MLOps pipeline for iterative model retraining and production deployment.
• Deploy self-hosted Whisper models on Azure cloud infrastructure (self-hosted, not managed services).
• Ensure high data quality using existing audio and transcript datasets.
• Collaborate on prompt engineering strategies to improve speech recognition.
• Deliver a scalable, production-grade AI solution by year-end and take ownership of the project.

AI Engineer, Whisper, MLOps, Fine Tuning

Backend Engineer

• Develop and maintain data pipelines integrating security applications with the threat detection engine.
• Design secure and efficient integrations via REST APIs and custom HTTPS endpoints.
• Build and manage HTTPS endpoints for securely forwarding data and ensure compatibility with automation workflows.
• Support self-service provisioning through web platform development for the Managed Detection and Response (MDR) platform.
• Collaborate with DevOps teams to maintain secure and efficient deployment practices.
• Write clean, secure, and well-documented code adhering to coding best practices.
• Monitor, debug, and enhance integration reliability and performance.