7 часов назад
Senior Software Engineer (AI, AWS & Python)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI, AWS & Python) (AI platform services): Building secure, scalable ML and LLM-based services, microservices, reusable libraries, and frameworks for Diligent’s customer-facing products with an accent on production-ready AI delivery, privacy, security, and observability. Focus on designing shared AWS infrastructure, operationalizing AI systems, improving evaluation and governance, and solving performance, reliability, and cost-efficiency challenges.
Location: Budapest, Hungary; hybrid work model with onsite work at least 50% of the time for employees within commuting distance of a office.
Company
provides AI-powered governance, risk, and compliance SaaS solutions through its One Platform.
What you will do
- Design, develop, deploy, monitor, scale, and troubleshoot ML- and LLM-based systems powering shared AI services.
- Build secure, high-performance AWS microservices and platform components, owning them from implementation through production monitoring.
- Collaborate with Applied Scientists, Product teams, and Software Engineers to productize AI capabilities.
- Develop reusable AI libraries, frameworks, internal tooling, and platform infrastructure for multiple teams.
- Evaluate and pilot AI tools to improve performance, cost efficiency, and developer productivity.
- Build privacy, security, observability, compliance, and governance into AI systems handling sensitive customer content.
Requirements
- 5+ years of experience delivering secure, scalable applications in agile environments.
- Strong software design, coding, testing, and maintainability practices.
- Hands-on experience with Python and Node.js/TypeScript on a major cloud platform, including microservices or serverless patterns, infrastructure as code, CI/CD, containers, and observability.
- Experience building and operating backend services or microservices in a major cloud environment, preferably AWS.
- Experience with the lifecycle of AI solutions and practical work with LLM-based systems or adjacent AI technologies.
- Strong security practices, including IAM, secrets management, privacy controls, communication, and technical leadership.
Nice to have
- Hands-on experience with AWS CDK.
- Experience with prompt engineering, fine-tuning, model evaluation, RAG, agentic solutions, or MCP servers.
- Experience developing AI evaluation, observability, or governance mechanisms for production systems.
- Experience shaping shared platform capabilities, improving cloud AI performance and reliability, or mentoring peers.
Culture & Benefits
- Flexible work environment with a hybrid model for employees near offices.
- Comprehensive health benefits, generous time off, wellness programs, and meeting-free days.
- Global days of service and support for diversity through Employee Resource Groups and educational resources.
- International office hubs include New York City, Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
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