Wellfit

Support Engineer

• Diagnose, troubleshoot, and resolve application and system issues, ensuring minimal downtime and maximum efficiency.
• Collaborate with the Support Architect to provide technical solutions and root cause analysis for escalated support issues.
• Develop, test, and implement bug fixes, patches, and minor feature enhancements.
• Write scripts and automation tools to streamline support processes and improve response times.
• Support continuous improvement efforts by identifying recurring issues and developing long-term solutions.
• Assist in the monitoring and maintenance of cloud infrastructure and services, ensuring system health and performance.
• Participate in post-mortem investigations and create documentation of incidents and solutions for future reference.
• Provide regular reports on support ticket trends and resolution metrics to the Support Architect.
• Collaborate with the QA team to replicate and test bugs, ensuring resolutions meet quality standards.
• Maintain a strong understanding of Wellfit’s tech stack, including .NET and cloud services (Azure).

Senior Support Developer

Machine Learning Engineer

• Own hands-on AI/ML and data engineering work focused on understanding, mining, and productizing Wellfit’s data.
• Train, evaluate, and apply models for inference, insight generation, anomaly detection, and business intelligence use cases.
• Partner with technology and business leaders to understand what the data is telling us, why it matters, and how it can be used to improve business outcomes.
• Identify anomalies, trends, correlations, and variances in performance across practices, products, transactions, demographics, service types, and customer behavior.
• Help uncover opportunities related to product performance, plan adoption, transaction volume, collections, fraud, customer growth, and other business-critical areas.
• Build data-driven solutions that can support consultative insights for customers, helping practices understand how to grow and keep their business healthy.
• Work with modern AI/data platforms, preferably within the Microsoft ecosystem, including Microsoft Fabric, Azure AI Foundry, Azure data services, and related tools.
• Translate experience from other modern data/AI ecosystems, such as AWS, Databricks, Bedrock, or similar platforms, into Wellfit’s Azure-centric environment.
• Develop prototypes, proof-of-concepts, and production-ready solutions that can scale beyond experimentation.
• Collaborate with engineering, product, data, operations, and executive stakeholders to turn raw data into usable intelligence.
• Communicate insights clearly to both technical and non-technical audiences, including the business problem, the data pattern, the recommendation, and the expected impact.
• Ask strong follow-up questions, challenge assumptions, identify gaps, and elevate the conversation rather than simply executing instructions.
• Bring high initiative, curiosity, and ownership to a greenfield-style opportunity where there is room to build, influence, and shape the future of AI and data at Wellfit.

Senior Data Engineer, AI/ML

AI Engineer

• Support the development of AI-powered proof-of-concepts, prototypes, and internal tools that align with Wellfit’s Innovation Strategy.
• Write clean, maintainable code using Python and/or .NET technologies to support AI integrations, automation, APIs, and experimental solutions.
• Assist with integrating AI capabilities into new and existing Wellfit technologies, products, and workflows.
• Work with senior engineers to evaluate technical approaches, identify tradeoffs, and recommend practical solutions.
• Experiment with AI tools, APIs, prompts, embeddings, retrieval-augmented generation, workflow automation, and model-driven features.
• Help test and validate AI-powered features to ensure outputs are useful, accurate, secure, and aligned with business needs.
• Participate in research and development initiatives by applying structured experimentation, documenting assumptions, testing outcomes, and summarizing findings.
• Collaborate with engineering, product, and innovation stakeholders to understand business problems and translate them into working prototypes or technical recommendations.
• Help create unit tests, regression tests, and system-level tests to validate new features or changes.
• Debug, refactor, and improve code under the guidance of senior technical team members.
• Document technical solutions, designs, workflows, findings, and limitations clearly through written documentation and diagrams.
• Learn and apply Wellfit’s software development standards, engineering processes, and best practices.
• Stay current on emerging AI tools, cloud services, and development practices that may improve Wellfit’s products or internal operations.

Associate AI Engineer

Operations

• Create and Maintain Operational Documentation
• Draft and update Standard Operating Procedures (SOPs) for key workflows and daily tasks
• Keep all documentation accurate, accessible, and current in tools like Confluence or SharePoint
• Partner with process owners to capture changes in real time
• Conduct regular audits to ensure documentation remains relevant and compliant
• Monitor and Resolve Operational Issues
• Actively monitor key systems and workflows to identify and troubleshoot issues
• Escalate and resolve problems based on urgency and impact
• Collaborate with IT, technical support, and business units to implement solutions
• Maintain an incident log to support root-cause analysis and future prevention
• Analyze Operational Data for Insights and Improvement
• Compile and review data from ERP, CRM, and BI tools to uncover trends
• Build and distribute recurring and ad hoc performance reports
• Identify recurring bottlenecks through trend and root-cause analysis
• Translate operational insights into actionable recommendations for leadership
• Support Process Improvement and System Initiatives
• Assist in the rollout of process redesigns and system enhancements
• Participate in testing and validating new system features before deployment
• Document requirements, track milestones, and support change management efforts
• Leverage automation tools to streamline and optimize recurring tasks
• Manage Vendor and Internal Service Relationships
• Maintain vendor records, contracts, and performance KPIs
• Track service levels and escalate issues when KPIs are not met
• Support vendor renewals, negotiations, and billing reconciliation
• Act as a liaison between vendors and internal teams to ensure seamless collaboration

Senior Support Developer

Senior Data Engineer, AI/ML

Associate AI Engineer

Operations Specialist