Senior AI Engineer - CFA AI Incubation (CPIT, Corporate Functions & Analytics) (Budapest, HU, 1031)

SAP
Budapest, Prague
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 4+ yearsSkills: ["Problem-solving","Collaboration","Continuous learning","Engineering excellence","Mentorship"]

Build and deploy enterprise-grade generative and agentic AI solutions, taking concepts from proof of concept to production. Design scalable LLM pipelines (including RAG), implement AgentOps to automate agent/LLM lifecycles, and ensure reliability through monitoring, tracing, and compliance. Partner with AI product owners, data scientists, and architects to translate requirements into robust technical specifications, collaborating in an agile environment while mentoring junior engineers (senior only).

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
SAP
SAP
2 hours ago

Senior AI Engineer - CFA AI Incubation (CPIT, Corporate Functions & Analytics) (Budapest, HU, 1031)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build and deploy enterprise-grade generative and agentic AI solutions, taking concepts from proof of concept to production. Design scalable LLM pipelines (including RAG), implement AgentOps to automate agent/LLM lifecycles, and ensure reliability through monitoring, tracing, and compliance. Partner with AI product owners, data scientists, and architects to translate requirements into robust technical specifications, collaborating in an agile environment while mentoring junior engineers (senior only).
Location: Budapest, Prague
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and deploy generative AI and agentic AI solutions from proof of concept to full enterprise production.
  • •Build and maintain LLM-based application pipelines, including data processing and retrieval-augmented generation (RAG).
  • •Implement AgentOps practices to automate the lifecycle of AI agents and LLM applications.
  • •Collaborate with product owners to translate functional requirements into robust technical specifications.
  • •Ensure reliability, observability, and compliance through monitoring and tracing; mentor junior colleagues (senior only).
Travel: Low travel

Key Requirements

  • •Degree in computer science or a similar field.
  • •4+ years in software engineering.
  • •Hands-on experience developing and deploying LLM applications.
  • •Advanced coding skills in Python (preferred) or Java, with strong software engineering practices and backend frameworks (e.g., FastAPI, Flask, Django) for microservices.
  • •Experience with generative AI and AgentOps tools/frameworks (e.g., LangChain, LangSmith, LangFuse, MLflow) and CI/CD in cloud environments (e.g., Azure, AWS; Docker, Kubernetes, GitHub Actions).
Experience:4+ yearsGenerative AILLM applicationsMLOpsData pipelinesRAGMicroservicesCloudCI/CD
Education:
Skills:Problem-solvingCollaborationContinuous learningEngineering excellenceMentorship
Languages:English
Tech Stack:PythonJavaFastAPIFlaskDjangoMicroservice architecturesLangChainLangSmithLangFuseMLflowAgentOpsRAGAzureAWSDockerKubernetesGitHub ActionsCI/CDSAP AI CoreSAP BTP

Company Brief

SAP
Global enterprise software company best known for ERP systems and business applications covering finance, supply chain, procurement, HR, analytics, and customer management for large organizations.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Walldorf, Germany
Founded: 1972
Glassdoor
Glassdoor: 4.1
WebsiteLinkedInGlassdoor