Forward Deployed Senior AI Developer

SAP
Singapore
Workplace: HybridFull timeFunction: Software EngineeringSkills: ["Collaboration","Communication","Accountability","Proactive learning","Adaptability"]

Design, develop, and operate AI-native, cloud-native enterprise applications within customer-embedded delivery teams. Build production-grade solutions that integrate large language models, RAG pipelines, and agent-based components, collaborating to understand customer business processes and technical landscapes. Implement and maintain high-quality features with support from senior engineers, and help prototype, test, monitor, and troubleshoot deployed solutions. Contribute to code reviews, documentation, and engineering best practices while growing your AI engineering skills.

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FursaFursa
SAP
SAP
2 hours ago

Forward Deployed Senior AI Developer

✓ 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

Design, develop, and operate AI-native, cloud-native enterprise applications within customer-embedded delivery teams. Build production-grade solutions that integrate large language models, RAG pipelines, and agent-based components, collaborating to understand customer business processes and technical landscapes. Implement and maintain high-quality features with support from senior engineers, and help prototype, test, monitor, and troubleshoot deployed solutions. Contribute to code reviews, documentation, and engineering best practices while growing your AI engineering skills.
Location: Singapore
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop production-grade, cloud-native applications integrating AI capabilities such as large language models, RAG pipelines, and agent-based components.
  • •Work within customer projects and cross-functional delivery teams to learn business processes and customer technical needs.
  • •Implement features, components, and integrations while maintaining code quality and engineering standards under guidance from senior engineers.
  • •Support prototyping, testing, and iteration of AI solutions in customer environments based on feedback and changing requirements.
  • •Monitor, troubleshoot, and improve deployed solutions to ensure reliability and operational stability.
Travel: Low travel

Key Requirements

  • •Proficiency in software engineering with hands-on experience in at least one cloud-native development environment, and strong foundational skills in Python.
  • •Growing understanding of AI/ML concepts, including familiarity with large language models and AI services/API-based AI integrations.
  • •Exposure to data pipelines and/or MLOps and AI/ML model integration in application contexts.
  • •Ability to collaborate within a team, follow engineering standards, and take ownership of assigned tasks with accountability.
  • •Basic understanding of cloud platforms (AWS, Azure, GCP) and familiarity with Git, Docker, and CI/CD pipelines.
Experience:AI/MLMLOpsEnterprise applications
Skills:CollaborationCommunicationAccountabilityProactive learningAdaptability
Tech Stack:PythonLarge language modelsLLMsRAGAgent-based componentsTensorFlowPyTorchScikit-learnAWSAzureGCPGitDockerCI/CDMLOpsSAP AI CoreSAP Business Technology Platform (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
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