Forward Deployed AI Developer (Singapore, SG, 117440)

SAP
Singapore
Workplace: HybridFull timeFunction: Software EngineeringExperience: 4-8 yearsEducation: bachelorsSkills: ["Communication","Analytical thinking","Ownership","Customer engagement"]

Independently build AI-native enterprise applications and work directly with customers to solve complex business problems. Own technical workstreams, design and implement production-grade AI solutions, and collaborate with architects to deliver scalable and secure applications. Develop LLM-based agents using RAG, tool calling, structured outputs, and orchestration, integrate with SAP and enterprise systems, and deploy/operate on SAP AI Core, SAP BTP, Kubernetes, and public cloud platforms.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
SAP
SAP
2 hours ago

Forward Deployed AI Developer (Singapore, SG, 117440)

✓ 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

Independently build AI-native enterprise applications and work directly with customers to solve complex business problems. Own technical workstreams, design and implement production-grade AI solutions, and collaborate with architects to deliver scalable and secure applications. Develop LLM-based agents using RAG, tool calling, structured outputs, and orchestration, integrate with SAP and enterprise systems, and deploy/operate on SAP AI Core, SAP BTP, Kubernetes, and public cloud platforms.
Location: Singapore
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and implement production-grade AI applications using modern software engineering practices.
  • •Develop AI agents using LLMs, RAG, MCP, tool calling, structured outputs, and multi-agent orchestration.
  • •Build integrations with SAP products, enterprise applications, APIs, databases, and external services.
  • •Deploy and operate AI applications on SAP AI Core, SAP BTP, Kubernetes, and public cloud platforms.
  • •Own customer-facing technical workstreams and translate business requirements into working AI solutions, including code reviews and mentoring.
Travel: Low travel

Key Requirements

  • •Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Information Technology, or a related discipline.
  • •4–8 years of professional software engineering experience.
  • •Strong Python skills, with experience in Java, TypeScript, or JavaScript.
  • •Hands-on experience building AI agents with LLMs using frameworks such as LangGraph, LangChain, CrewAI, Semantic Kernel, or AutoGen (or similar).
  • •Experience building production-grade AI applications (LLMs/RAG/embeddings/vector databases), REST APIs/microservices, and deploying on Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP).
Experience:4-8 yearsGenerative aiCloud-nativeEnterprise applicationsLlmRagCustomer-facing
Education:Bachelor's in Computer Science, Artificial Intelligence, Information Technology, or a related discipline
Skills:CommunicationAnalytical thinkingOwnershipCustomer engagement
Tech Stack:PythonJavaTypeScriptJavaScriptLangGraphLangChainCrewAISemantic KernelAutoGenLLMsPrompt engineeringEmbeddingsVector databasesRAGMCPAgentic AIREST APIsMicroservicesCloud-native applicationsDocker

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