Senor Software Engineer (AI, AWS & Python)
HybridBudapest, Budapest, Hungary
Job Summary
Design, develop, deploy, monitor, and troubleshoot ML and LLM-based systems powering shared AI services across the platform. Build secure, high-performance microservices and reusable libraries on AWS, owning end-to-end implementation, production monitoring, and infrastructure patterns. Collaborate with Applied Scientists and Product teams to productize AI capabilities while integrating security best practices like IAM and privacy controls into every component. Continuously evaluate new tools to improve performance, cost efficiency, and developer productivity, ensuring systems remain robust and compliant. Work on systems handling sensitive customer content, requiring observability and governance built from day one. This role supports Diligent's mission to empower leaders with AI-driven governance solutions, fostering bold experimentation and engineering excellence across global teams.
Required Qualifications
- 5+ years of experience delivering secure, scalable applications in agile environments
- Strong ability to write highly readable, maintainable, and well-tested code, with a solid grounding in software design principles
- Strong hands-on skills in Python and Node.js/TypeScript on a major cloud platform (preferably AWS), including serverless or microservice patterns, infrastructure as code (CDK/Terraform), CI/CD, containerization, and observability tooling
- Experience building and operating backend services or microservices in a major cloud environment, preferably AWS
- Good understanding of the full lifecycle of AI-based solutions, from experimentation and implementation through deployment, monitoring, and iteration
- Practical experience working with LLM-based systems or adjacent AI technologies
- Ability to collaborate effectively across disciplines and help translate applied science work into robust product capabilities
- Habit of integrating security best practices (IAM, secrets management, privacy controls) into everything you build — including AI components
- Excellent communication and leadership skills: you explain complex technical and AI topics clearly to different audiences
- Must be able to work onsite at least 50% of the time
Desired Qualifications
- Hands-on experience with AWS CDK
- Hands-on experience with LLM-related techniques such as 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 or reusable engineering patterns across multiple teams
- Experience improving performance, reliability, or cost efficiency for cloud-based AI or data-intensive services
- Interest or experience in mentoring peers, raising engineering standards, and helping teams adopt better ways of working
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