About Kinetic Backed by Nationwide, we’re transforming workers’ comp with technology-driven solutions for injury prediction, prevention, and management—helping employers create safer, healthier workplaces. We also work directly with enterprise clients. Our platform is built for labor intensive industries including parcel delivery, manufacturing, and wholesale/warehousing operations. From wearable tech that reduces strain and sprain injuries by over 60% to a tech-driven program that speeds up return-to-work and generative AI for claims management, we're redefining what workers' comp can do. We’re a remote-first team headquartered in New York City, growing fast—10x in the past two years—and driven by accountability, continuous improvement, and collaboration. If you're excited to build a career with impact, we’d love to meet you. Kinetic has been named to: Business Insurance's Best Place to Work in Insurance 2025 The Role As a Software Engineer on our team, you’ll be a versatile contributor working across a wide range of projects and technologies in service of Kinetic’s mission. You’ll collaborate with cross-functional teams to design, build, and maintain our data ecosystem including ETL pipelines, data lakes, autonomous AI agents, and other LLM-based applications. The role provides broad exposure to data-intensive applications across the company. We’re looking for someone who enjoys tackling complex, real-world challenges, thrives in a fast-paced environment, and is eager to learn and adapt as technologies evolve. You’ll contribute to everything from core infrastructure to experimental features, helping deliver high-impact solutions that reduce workplace injuries and improve operational outcomes for our customers. A strong engineering foundation, curiosity, and a collaborative mindset are key to success in this role. Responsibilities: - Design, develop, and implement robust, scalable, and cloud-native data and AI solutions that directly contribute to Kinetic’s mission. - Write clean, efficient, well-tested, and maintainable code in a team environment. - Participate in architecture and code reviews to ensure consistent quality, performance, reliability, and scalability of software systems. - Implement security, reliability, and observability best practices in software design and development. - Proactively identify opportunities for improvement in existing systems and processes. - Troubleshoot and resolve complex technical issues, emphasizing root cause analysis and post-mortem documentation. - Contribute to projects across the stack—including backend services, internal tools, and AI-powered features—as priorities evolve. Basic Qualifications: - Bachelor's degree in Computer Science or a related field and at least 3 years of relevant software engineering experience. - Back-end development experience in a modern tech stack that includes Python in a cloud environment. - Experience delivering software from concept through production, including CI/CD, monitoring, and operational support. - Proven track-record of building and operating large-scale cloud solutions in production while managing technical debt effectively. - The working language at Kinetic is English. Preferred Qualifications: - Experience developing and deploying AI features in production software, especially those leveraging LLMs or agentic AI patterns. - Experience with AWS, Apache Airflow, and Terraform. - Strong testing and documentation practices. - Experience with production security practices in the cloud including building systems that meet enterprise security standards and industry best practices. - Experience operating in early-stage or high-growth startup environments where pragmatism and speed matter. What we offer: - This is a remote position (candidate must be a full time U.S. resident) - Salary Range: $140,000 - 180,000 per year - Equity Grant - Medical, dental, and vision insurance - 20 vacation days per year - 9 federal holidays off - Parental Leave - Pre-tax 401k contribution - HSA with compatible health plans - FREE: Health Advocate - FREE: Telehealth Membership - FREE: OneMedical Account

Description Company Overview: Zing Health is a tech-enabled health insurance company making Medicare Advantage the best it can be for those 65-and-over. Zing Health has a community-based approach that recognizes the importance of the social determinants of health in keeping individuals and communities healthy. Zing Health aims to return the physician and the member to the center of the health care equation. Members receive individualized assistance to make their transition to Zing Health as easy as possible. Zing Health offers members the ability to personalize their plans, access to facilities designed to help them better meet their healthcare needs, and a dedicated care team. For more information on Zing Health, visit www.myzinghealth.com. Our technology organization is investing in modern digital and AI capabilities to improve member experience, strengthen provider operations, and increase enterprise efficiency. SUMMARY DESCRIPTION: Zing Health is seeking an AI Engineer to help implement AI-powered solutions across our enterprise technology platform. This is a hands-on engineering role focused on building AI-enabled applications and integrating AI services into existing systems. You will work closely with the AI & Automation team and engineering teams to build and support AI use cases using Azure AI services, APIs, and enterprise data platforms. This role focuses on practical AI implementation rather than research or model development. This is a great opportunity for an engineer interested in working with AI, automation, and modern cloud technologies in a healthcare environment. ESSENTIAL FUNCTIONS: Build AI-enabled applications - Develop applications that leverage Azure OpenAI and Azure AI services - Implement LLM-based workflows such as prompting, document analysis, and conversational experiences - Support AI use cases such as document processing, automation, and intelligent workflow support - Build integrations between AI services and enterprise platforms such as Salesforce, Genesys, and internal applications - Work with APIs and services to enable AI-driven capabilities - Implement workflows using tools such as Azure Functions, Logic Apps, or Power Automate - Support AI-powered automation initiatives across operations and member/provider services - Connect AI services with internal data sources including data warehouses, APIs, and operational platforms - Assist with processing structured and unstructured data for AI use cases - Partner with engineering, security, and data teams to deploy AI solutions - Participate in testing, monitoring, and improvement of AI solutions in production Requirements Required Qualifications - 3–5 years’ experience in software engineering, cloud engineering, or application development - Experience working with cloud platforms such as Microsoft Azure - Experience building or integrating REST APIs - Familiarity with Python, JavaScript, or similar programming languages - Interest in working with AI technologies and automation tools Preferred Qualifications (Nice-to-Haves) - Exposure to Azure OpenAI, Azure AI services, or similar AI platforms - Familiarity with LLM concepts such as prompt engineering or retrieval-based workflows - Experience with automation tools such as Logic Apps or Power Automate - Exposure to enterprise systems such as Salesforce or CRM platforms - Basic understanding of data platforms or SQL - Interest in healthcare technology or regulated environments Zing Health offers the following benefits: - A competitive salary based on the market - Medical, Dental, and Vision - Employer-Paid Life Insurance - Paid Maternal Leave - Paid Paternal Leave - 401(K) match up to 4% - Paid-Time-Off - Employee Assistance Programs - Several supplemental benefits are available, including, but not limited to, Spouse Insurance, Pet Insurance, Critical Illness coverage, ID Protection, etc.

• Design, build, and operate next-generation systems that run large-scale batch inference workloads—from minutes to multi-day jobs—while delivering a friction-free, self-service experience for ML practitioners across Netflix. • Build developer-friendly APIs, SDKs, and CLIs that let researchers and engineers—experts and non-experts alike—submit and manage batch inference jobs with minimal effort, particularly in the domain of content and media. • Design, implement, and operate distributed services that package, schedule, execute, and monitor batch inference workflows at massive scale. • Instrument the platform for reliability, debuggability, observability, and cost control; define SLOs and share an equitable on-call rotation. • Foster a culture of engineering excellence through design reviews, mentorship, and candid, constructive feedback.

• Design and implement stateful agentic workflows (using frameworks like LangGraph or custom Python/TypeScript solutions) • Develop robust integration layers that allow the LLM to interact with our internal APIs, databases, and third-party tools reliably • Optimize inference pipelines for speed and reliability • Architect advanced RAG (Retrieval-Augmented Generation) systems to give the Super Agent persistent memory and context awareness across sessions • Establish a rigorous testing framework for non-deterministic model outputs to ensure the agent behaves as expected in production