[Remote] Staff AI Engineer
Note: The job is a remote job and is open to candidates in USA. Veeam Software is the Data and AI Trust Company, specializing in ensuring data and AI are secure and resilient. The Staff AI Engineer will design and own production AI systems, leading technical decisions on agentic workflows and threat detection while mentoring peers and collaborating with product teams.
Responsibilities
- Lead agentic AI development, including multi-agent orchestration patterns, agent-to-agent protocols, and reliable tool use at production scale
- Own prompt engineering and evaluation workflows including structured outputs, hallucination reduction, and behavioral consistency
- Build and own MCP server infrastructure that exposes backup data to AI agents via the Model Context Protocol, enforcing tenant-aware RBAC, query constraints, and safe tool boundaries
- Define AI quality benchmarks for retrieval relevance, summarization accuracy, and agent reliability, and drive systematic improvements through eval-driven iteration
- Champion security and safety in AI systems, including adversarial prompt hardening, jailbreak resistance, data boundary enforcement, and OWASP LLM Top 10 awareness
- Tune AI workflows for performance, cost, latency, and observability across billions of documents in global regions
- Mentor engineers on the team, raise the technical bar, and contribute to architecture reviews and design decisions
Skills
- Proven experience integrating AI/ML services and APIs into production backend systems, including APIs, async pipelines, and cloud infrastructure, treating models and inference endpoints as components in a larger service architecture
- Hands-on experience shipping LLM-powered capabilities end to end, such as embeddings pipelines, RAG, summarization, or LLM-powered assistants, with a strong understanding of failure modes
- Experience designing and operating multi-step agentic workflows with real tool use, including strategies for reliability, observability, and recovery
- Working knowledge of Model Context Protocol (MCP), including building MCP servers, designing tool exposure contracts, or integrating MCP into agent workflows
- Experience with prompt engineering and evaluation including structured outputs, hallucination reduction, evals frameworks, and LLM observability tooling
- Experience building multi-tenant systems with data boundary enforcement, tenant-aware access controls, and LLM safety guardrails
- Familiarity with authentication and authorization patterns including OAuth 2.0, OIDC, JWT, and API key management in cloud backend systems
- Experience integrating with enterprise identity providers such as Azure AD / Entra ID or Okta
- Familiarity with AI governance concepts including data access policies, audit trails, or agent guardrail frameworks
- Background working with heterogeneous, multilingual, or large-scale enterprise data environments
- Experience with adversarial prompt hardening and OWASP LLM Top 10 security patterns
Benefits
- Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
- Medical, dental, and vision coverage starting on your first day
- Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
- 401(k) retirement plan with company matching contributions
- Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
- AirVet: 24/7 virtual veterinary care at no cost
- Legal services, identity protection, and supplemental health insurance options
- Tax-advantaged spending accounts for healthcare, dependent care, and commuting
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning
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