Senior AI Platform Engineer, Vice President/Director
- Design, build, and operate the firm’s AI platform including shared services, APIs, SDKs, and tooling
- Drive architecture across scalability, reliability, security, developer experience, and cost
- Build platform capabilities for LLM and agentic systems including orchestration, tool integration, memory, workflow execution, and runtime management
- Develop retrieval and knowledge-access services supporting RAG and related patterns
- Implement evaluation frameworks to measure quality, reliability, safety, and business outcomes
- Build observability for tracing, metrics, logs, sessions, and execution history
- Implement guardrails for policy enforcement, risk mitigation, tenant isolation, and governance
- Write high-quality production code and establish strong engineering practices including testing, code review, CI/CD, documentation, and operational ownership
- Operate reliable cloud-native services with monitoring, incident response, performance management, and capacity planning
- Lead complex technical initiatives end-to-end and mentor engineers, shaping platform standards and roadmaps
- 6+ years of software engineering experience with ownership of production services, platforms, or distributed systems
- Advanced proficiency in Python and strong software engineering fundamentals
- Deep knowledge of software architecture, service design, APIs, data modeling, concurrency, and distributed systems
- Experience building, deploying, and operating cloud-native services (Azure or similar)
- Proficiency in testing strategies, CI/CD, observability, reliability engineering, and secure SDLC practices
- Proven track record leading ambiguous, cross-functional initiatives and delivering maintainable production systems
- Excellent written and verbal communication skills
- Hands-on experience building production AI or generative AI platforms and services
- Experience with LLMs, agent frameworks, tool use, orchestration, memory, and retrieval-augmented generation architectures
- Experience designing AI evaluation frameworks, benchmarks, regression testing, or quality measurement systems
- Experience building guardrails, responsible AI controls, governance capabilities, or safety and reliability mechanisms
- Experience with agent observability, distributed tracing, telemetry, and execution-history storage and retrieval
- Practical Rust experience for high-performance, reliable, or systems-oriented platform components
- Experience designing shared developer platforms, SDKs, or self-service capabilities used by multiple engineering teams
- Experience mentoring engineers, acting as a technical lead, or helping grow an engineering team
- Exposure to financial services or another regulated environment
- Salary range of 13,400,000 - 20,100,000 HUF
- Annual discretionary bonus
- Healthcare benefits
- Leave benefits
- Retirement benefits
- Retirement investment resources and tools
- Tuition reimbursement
- Comprehensive physical health resources
- Emotional well-being support including Employee Assistance Program and Mental Health Ambassadors
- Family support programs
- Flexible Time Off (FTO)
- Hybrid work model with at least 4 days in office per week and 1 day remote work