Senior AI Platform Engineer, Vice President/Director at BlackRock Hungary Kft. – Budapest | Jobyssey

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

Senior AI Platform Engineer, Vice President/Director

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