3 дня назад
Senior Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI): Building next-generation AI-enabled forms workflows, cloud platform services, and web experiences for infrastructure professionals with an accent on resilient distributed systems, AI agent integration, and scalable architecture. Focus on translating ambiguous requirements into technical designs, hardening services for observability and reliability, and delivering cloud capabilities through end-to-end DevOps practices.
Location: Hybrid in Exton, Pennsylvania; Philadelphia, Pennsylvania; or Huntsville, Alabama, United States
Requirements
- Bachelor's degree in Computer Science, Information Systems, or equivalent practical experience.
- 6+ years of software engineering experience designing, delivering, and improving production software systems.
- Experience building reliable services or products and communicating technical tradeoffs across engineering, product, and stakeholder groups.
- Ability to work from ambiguity to clear technical requirements, architecture decisions, and scalable implementation plans.
- Strong ownership, collaboration, pragmatic decision-making, and continuous learning skills.
- Visa sponsorship is not available for this role.
Nice to have
- Experience with AI agents, AI-assisted development workflows, or intelligent automation in production engineering environments.
- Hands-on experience with C#, SQL, .NET Standard/Core, Git, REST APIs, cloud services, and distributed service integrations.
- Knowledge of agile Scrum, test-driven development, continuous delivery, observability, DevOps, object-oriented design, and system design.
- Experience with TypeScript, Cosmos DB, cloud-native application patterns, front-end platforms, Microsoft development tools, unit testing frameworks, or developer automation.
What you will do
- Design and build AI-enabled forms workflows that transform field data, project activity, and human decisions into actionable systems.
- Integrate AI agents into the development lifecycle to improve engineering productivity and delivery.
- Build and evolve cloud platform services, REST APIs, web experiences, and distributed integrations for global-scale infrastructure workflows.
- Translate customer, product, and platform needs into technical requirements, architecture decisions, and implementation plans.
- Improve service resilience, observability, performance, security, and readiness for AI-augmented workflows.
- Own delivery end to end, from design and implementation through deployment, telemetry, and continuous improvement.
Culture & Benefits
- Agile engineering environment with continuous integration and delivery practices.
- End-to-end engineering ownership in a fast-moving, AI-focused, DevOps-oriented setting.
- Salary and benefits package.
- Commitment to inclusion, belonging, colleague wellbeing, and employee resource groups.
- No travel is required for this role.
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