• Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments. • Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments. • Integrate and optimize LLMs for specific business planning use cases, including prompt engineering and RAG implementation. • Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language • Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics • Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations • Optimize model inference pipelines for performance, cost, and scalability in production environments • Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behavior. • Collaborate with data scientists to productionise ML models and forecasting algorithms

• Own the design, development, testing, and support of full-stack features across .NET backend services and Angular frontend applications • Build and maintain APIs and microservices in a distributed, cloud-native architecture • Contribute to container orchestration and deployment workflows using Azure Kubernetes Service (AKS) and Docker • Collaborate with product managers, architects, and cross-functional Agile teams to translate business requirements into robust technical solutions • Participate in code reviews, architectural discussions, and sprint ceremonies; provide technical mentorship to junior engineers • Identify and address performance, reliability, and scalability gaps across assigned services • Leverage AI-assisted development tools (such as Claude Code) to accelerate implementation, code review, and documentation workflows • Support production systems, contribute to incident retrospectives, and implement preventive engineering improvements • Stay current with emerging technologies and advocate for engineering best practices within the team

• Design, develop, and maintain APIs, services, and interfaces that support the entire acquisition flow (landing pages, signup, login, trials, and onboarding). • Build server-side and front-end logic to support A/B tests, feature flags, and conversion optimization experiments. • Integrate our platform with essential growth tools such as CRMs (HubSpot, Salesforce), payment gateways (Stripe), marketing automation, and analytics tools (Segment, Mixpanel). • Ensure optimal loading performance (Core Web Vitals) and apply technical SEO best practices to boost organic acquisition. • Write clean, semantic code covered by automated tests, ensuring a secure and resilient architecture for traffic spikes. • Collaborate with the data team to segment users and instrument the front end to capture interaction metrics (GA4, Mixpanel). • Support developer growth and promote a culture of continuous learning. • Collaborate with cross-functional teams to define and evolve architecture, processes, and technical solutions. • Act as a bridge between developers and Engineering Managers, ensuring technical alignment, efficient prioritization, and excellence in delivery.

Role Description We are looking for a Mid/Senior .NET Software Developer to join the team behind Document Center, our mission-critical loan origination document generation service. Document Center sits at the heart of the lending workflow—responsible for producing, managing, and delivering the documents that move loans from application to close. You will work across the stack to deliver well-designed features, maintain the reliability our lenders depend on, and contribute to architectural conversations as we continue modernizing the service. You’ll operate within a small Agile team and collaborate closely with product, QA, and senior engineers to ship dependable software at enterprise scale. Key Responsibilities - Develop, test, and maintain features across the .NET-based platform, from APIs to user-facing interfaces. - Write clean, well-tested C# code and contribute thoughtful peer code reviews. - Build efficient SQL Server queries, stored procedures, and data models in support of feature work. - Work with internal services and external third-party integrations as part of feature delivery. - Diagnose and resolve defects across development and production environments. - Partner with senior engineers on design and architecture; bring ideas and pushback when warranted. - Contribute to documentation, automated testing, and continuous improvement of the engineering process. Qualifications - 5+ years of professional software development experience on the Microsoft technology stack. - Proficiency in C# and the .NET framework / .NET Core. - Solid experience with ASP.NET for building web applications and services. - Working knowledge of SQL Server, including writing performant queries and stored procedures. - Demonstrated ability to work independently as a self-starter and drive tasks to completion. - Experience working in Agile team structures. - Strong problem-solving, communication, and collaboration skills. Preferred Qualifications - Experience building or maintaining distributed, high-throughput systems where reliability and performance are non-negotiable. - Demonstrated experience with performance profiling, optimization, and tuning—whether at the application, query, or system level. - Experience working with internal and external services and integrations. - Exposure to Redis for caching and distributed data. - Exposure to RabbitMQ (RMQ), Azure Service Bus (ASB) or similar messaging platforms. - Experience developing and deploying workloads on Microsoft Azure. - Experience contributing to large enterprise applications. What You'll Bring - Curiosity and a willingness to dig into unfamiliar parts of a large codebase. - A self-starter attitude—you can take a story and run with it, asking the right questions along the way. - Care for craft: readable code, sensible tests, and thoughtful design.