Truelogic Software

Analytics Engineer

• Develop and maintain data analytics solutions supporting business objectives and value in care delivery
• Design, build, and maintain complex data models for operational and reporting needs
• Work with internal and external teams to implement data-driven solutions improving care delivery and business value
• Develop and implement data quality and integrity standards
• Explore and investigate healthcare and business systems data to identify insights and patterns
• Develop and maintain data infrastructure, including pipelines, databases, and data warehousing solutions
• Develop, automate, and maintain reports and dashboards providing actionable insights to organizational stakeholders

Senior Analytics Engineer – Health Care

Collections

• Manage and prioritize a portfolio of high-balance, complex delinquent commercial accounts based on risk, balance, and aging
• Evaluate business cash flow and financial health to structure viable repayment plans, settlements, and workout arrangements within authority limits
• Act as the primary escalation point for sensitive, high-value, or severe-risk collections cases
• Conduct due diligence, financial research, and risk evaluations to minimize losses and prevent pre-charge-offs
• Track, analyze, and report portfolio performance metrics and delinquency trends directly to management
• Ensure strict adherence to FDCPA standards, state/federal regulations, and internal compliance protocols
• Partner cross-functionally with Legal, Finance, Customer Service, and Sales teams to resolve recurring payment defaults
• Mentor junior collections team members on negotiation best practices, compliance, and dispute resolution

Senior Collections Specialist – Fintech, Commercial Finance

Backend Engineer

• Lead the technical direction of projects and make high-level architectural decisions for full-stack applications integrating AI services
• Design and build robust Python backend services and intuitive, interactive frontend interfaces using React, Vue, or Angular
• Architect and maintain data processing pipelines, agentic workflows, and LLM integrations
• Perform rigorous code reviews and mentor junior and senior developers
• Drive adoption of engineering best practices
• Partner with Product Management, Design, and QA to translate complex requirements into technical roadmaps and deliverable software
• Advise stakeholders on the feasibility and implementation of emerging AI and web technologies, including SLMs, Agentic AI, and multimodal models

Lead Full-Stack AI Engineer, Python/Typescript – Advertising

• Lead the technical direction of AI-powered full-stack application projects
• Make high-level architectural decisions across backend, frontend, and AI integrations
• Design and build robust Python backend services
• Develop intuitive, interactive frontend interfaces using React, Vue, or Angular
• Architect and maintain data processing pipelines, agentic workflows, and LLM integrations
• Perform rigorous code reviews and mentor junior and senior developers
• Drive adoption of engineering best practices
• Partner with Product Management, Design, and QA to translate requirements into technical roadmaps and deliverable software
• Monitor emerging AI and web technologies and advise stakeholders on feasibility and implementation

Lead Full-Stack AI Engineer, Python/Typescript - Advertising

• Lead the technical direction of projects and make high-level architectural decisions for AI-integrated full-stack applications
• Design and build robust Python backend services and interactive frontend interfaces with React, Vue, or Angular
• Architect and maintain data processing pipelines, agentic workflows, and LLM integrations
• Perform rigorous code reviews and mentor junior and senior developers
• Drive adoption of engineering best practices
• Partner with Product Management, Design, and QA to translate requirements into technical roadmaps and deliverable software
• Monitor emerging AI trends, including SLMs, Agentic AI, and multimodal models
• Advise stakeholders on feasibility and implementation

Lead Full-Stack AI Engineer, Python/Typescript

• Manage and prioritize a portfolio of high-balance, complex delinquent commercial accounts based on risk, balance, and aging
• Evaluate business cash flow and financial health to structure repayment plans, settlements, and workout arrangements within authority limits
• Act as the primary escalation point for sensitive, high-value, or severe-risk collections cases
• Conduct due diligence, financial research, and risk evaluations to minimize losses and prevent pre-charge-offs
• Track, analyze, and report portfolio performance metrics and delinquency trends directly to management
• Ensure adherence to FDCPA standards, state/federal regulations, and internal compliance protocols
• Partner with Legal, Finance, Customer Service, and Sales teams to resolve recurring payment defaults
• Mentor junior collections team members on negotiation best practices, compliance, and dispute resolution

• Lead the technical direction of projects and make high-level architectural decisions for full-stack applications integrating AI services
• Design and build robust Python backend services
• Develop intuitive, interactive frontend interfaces with React, Vue, or Angular to visualize complex data and AI interactions
• Architect and maintain data processing pipelines, agentic workflows, and LLM integrations
• Perform rigorous code reviews and mentor junior and senior developers
• Drive adoption of engineering best practices
• Partner with Product Management, Design, and QA to translate complex requirements into technical roadmaps and deliverable software
• Monitor emerging AI trends, including SLMs, Agentic AI, and multimodal models, and web technologies
• Advise stakeholders on feasibility and implementation

• Manage and prioritize a portfolio of high-balance, complex delinquent commercial accounts based on risk, balance, and aging
• Evaluate business cash flow and financial health to structure repayment plans, settlements, and workout arrangements within authority limits
• Serve as the primary escalation point for sensitive, high-value, or severe-risk collections cases
• Conduct due diligence, financial research, and risk evaluations to minimize losses and prevent pre-charge-offs
• Track, analyze, and report portfolio performance metrics and delinquency trends directly to management
• Ensure adherence to FDCPA standards, state and federal regulations, and internal compliance protocols
• Partner with Legal, Finance, Customer Service, and Sales teams to resolve recurring payment defaults
• Mentor junior collections team members on negotiation best practices, compliance, and dispute resolution

• Lead the technical direction of projects and make high-level architectural decisions for AI-integrated full-stack applications
• Design and build Python backend services and interactive React/Vue/Angular frontend interfaces
• Architect and maintain data processing pipelines, agentic workflows, and LLM integrations
• Perform code reviews, mentor junior and senior developers, and drive engineering best practices
• Partner with Product Management, Design, and QA to translate requirements into technical roadmaps and deliverable software
• Track emerging AI trends such as SLMs, Agentic AI, and multimodal models
• Advise stakeholders on AI and web technology feasibility and implementation

• Manage and prioritize a portfolio of high-balance, complex delinquent commercial accounts based on risk, balance, and aging.
• Evaluate business cash flow and financial health to structure viable repayment plans, settlements, and workout arrangements within authority limits.
• Act as the primary escalation point for sensitive, high-value, or severe risk collections cases.
• Conduct due diligence, financial research, and risk evaluations to minimize losses and prevent pre-charge-offs.
• Track, analyze, and report portfolio performance metrics and delinquency trends directly to management.
• Ensure strict adherence to FDCPA standards, state/federal regulations, and internal compliance protocols.
• Partner cross-functionally with Legal, Finance, Customer Service, and Sales teams to resolve root causes of recurring payment defaults.
• Mentor junior collections team members on negotiation best practices, compliance, and dispute resolution.