Senior Software Engineer (AI, AWS & Python) at Diligent Governance Hungary Korlátolt Fe – Budapest | Jobyssey

Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power shared AI services across the platform
Build secure, high performance microservices and platform components on AWS, owning services end-to-end from implementation through deployment and production monitoring
Collaborate with Applied Scientists, Product teams, and other Software Engineers to implement and productize AI-based capabilities
Continuously raise the bar by evaluating and piloting new tools including latest AI tooling to improve performance, cost efficiency, and developer productivity
Shape and evolve AI platform infrastructure by applying established organisational patterns and improving them where needed
Design and develop reusable AI libraries, frameworks, and internal tooling that accelerate delivery across multiple teams
Stay ahead of AI and platform trends, adapting designs and practices so systems remain robust, compliant, and future‑proof

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 including IAM, secrets management, privacy controls into everything built including AI components
Excellent communication and leadership skills

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

Flexible work environment
Global days of service
Comprehensive health benefits
Meeting free days
Generous time off policy
Wellness programs
Hybrid work model with onsite work at least 50% of the time if within commuting distance to an office location

Senior Software Engineer (AI, AWS & Python)

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